A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

## A

a - Variable in class org.apache.commons.math3.analysis.function.Logistic
  Lower asymptote.
a - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
  Coefficients
a - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineFunction
  Coefficients
a - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  When all c[i] = 0, a[] becomes normal polynomial coefficients, i.e.
a - Variable in class org.apache.commons.math3.distribution.TriangularDistribution
  Lower limit of this distribution (inclusive).
a - Variable in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
  Amplitude.
a - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  Reference to the linear operator.
a - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Internal weights from Butcher array (without the first empty row).
a - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
  Internal weights from Butcher array (without the first empty row).
a - Variable in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
  Deprecated.
  Amplitude.
a1 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Axis of the first rotation.
a2 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Axis of the second rotation.
a3 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Axis of the third rotation.
A70 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Last row of the Butcher-array internal weights, element 0.
A72 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Last row of the Butcher-array internal weights, element 2.
A73 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Last row of the Butcher-array internal weights, element 3.
A74 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Last row of the Butcher-array internal weights, element 4.
A75 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Last row of the Butcher-array internal weights, element 5.
abs() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  absolute value.
Abs - Class in org.apache.commons.math3.analysis.function
  Absolute value function.
Abs() - Constructor for class org.apache.commons.math3.analysis.function.Abs
abs() - Method in class org.apache.commons.math3.complex.Complex
  Return the absolute value of this complex number.
abs() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the absolute value of instance.
abs() - Method in class org.apache.commons.math3.fraction.BigFraction
  Returns the absolute value of this `BigFraction`.
abs() - Method in class org.apache.commons.math3.fraction.Fraction
  Returns the absolute value of this fraction.
abs(int) - Static method in class org.apache.commons.math3.util.FastMath
  Absolute value.
abs(long) - Static method in class org.apache.commons.math3.util.FastMath
  Absolute value.
abs(float) - Static method in class org.apache.commons.math3.util.FastMath
  Absolute value.
abs(double) - Static method in class org.apache.commons.math3.util.FastMath
  Absolute value.
ABS_TOL_UNUSED - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer.LineSearch
  Value that will pass the precondition check for `BrentOptimizer` but will not pass the convergence check, so that the custom checker will always decide when to stop the line search.
ABS_TOL_UNUSED - Static variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer.LineSearch
  Deprecated.
  Value that will pass the precondition check for `BrentOptimizer` but will not pass the convergence check, so that the custom checker will always decide when to stop the line search.
abscissa - Variable in class org.apache.commons.math3.analysis.function.StepFunction
  Abscissae.
abscissae - Variable in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
  Sample abscissae.
abscissas - Variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Abscissas for the current method.
ABSCISSAS_2 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Abscissas for the 2 points method.
ABSCISSAS_3 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Abscissas for the 3 points method.
ABSCISSAS_4 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Abscissas for the 4 points method.
ABSCISSAS_5 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Abscissas for the 5 points method.
absoluteAccuracy - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Maximum absolute error.
absoluteAccuracy - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Absolute accuracy.
absoluteAccuracy - Variable in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Absolute accuracy.
absoluteThreshold - Variable in class org.apache.commons.math3.optim.AbstractConvergenceChecker
  Absolute tolerance threshold.
absoluteThreshold - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
  Absolute threshold.
absoluteThreshold - Variable in class org.apache.commons.math3.optim.univariate.BrentOptimizer
  Absolute threshold.
absoluteThreshold - Variable in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
  Deprecated.
  Absolute tolerance threshold.
absoluteThreshold - Variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer
  Deprecated.
  Absolute threshold.
absoluteThreshold - Variable in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
  Deprecated.
  Absolute threshold.
AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math3.optim
  Base class for all convergence checker implementations.
AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math3.optim.AbstractConvergenceChecker
  Build an instance with a specified thresholds.
AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
AbstractConvergenceChecker() - Constructor for class org.apache.commons.math3.optimization.AbstractConvergenceChecker
  Deprecated.
  in 3.1 (to be removed in 4.0). Convergence thresholds are problem-dependent. As this class is intended for users who want to set their own convergence criterion instead of relying on an algorithm's default procedure, they should also set the thresholds appropriately (cf. MATH-798).
AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.AbstractConvergenceChecker
  Deprecated.
  Build an instance with a specified thresholds.
AbstractDifferentiableOptimizer - Class in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
AbstractDifferentiableOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
  Deprecated.
AbstractDifferentiableUnivariateSolver - Class in org.apache.commons.math3.analysis.solvers
  Deprecated.
  as of 3.1, replaced by `AbstractUnivariateDifferentiableSolver`
AbstractDifferentiableUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
  Deprecated.
  Construct a solver with given absolute accuracy.
AbstractDifferentiableUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
  Deprecated.
  Construct a solver with given accuracies.
AbstractFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Basic implementation of `FieldMatrix` methods regardless of the underlying storage.
AbstractFieldMatrix() - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
  Constructor for use with Serializable
AbstractFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
  Creates a matrix with no data
AbstractFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
  Create a new FieldMatrix<T> with the supplied row and column dimensions.
AbstractFormat - Class in org.apache.commons.math3.fraction
  Common part shared by both `FractionFormat` and `BigFractionFormat`.
AbstractFormat() - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
  Create an improper formatting instance with the default number format for the numerator and denominator.
AbstractFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
  Create an improper formatting instance with a custom number format for both the numerator and denominator.
AbstractFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
  Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
AbstractIntegerDistribution - Class in org.apache.commons.math3.distribution
  Base class for integer-valued discrete distributions.
AbstractIntegerDistribution() - Constructor for class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  Deprecated.
  As of 3.1, to be removed in 4.0. Please use `AbstractIntegerDistribution.AbstractIntegerDistribution(RandomGenerator)` instead.
AbstractIntegerDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.distribution.AbstractIntegerDistribution
AbstractIntegrator - Class in org.apache.commons.math3.ode
  Base class managing common boilerplate for all integrators.
AbstractIntegrator(String) - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator
  Build an instance.
AbstractIntegrator() - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator
  Build an instance with a null name.
AbstractLeastSquaresOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
  Base class for implementing least-squares optimizers.
AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
AbstractLeastSquaresOptimizer - Class in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
AbstractLeastSquaresOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  See `SimpleValueChecker.SimpleValueChecker()`
AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
AbstractLinearOptimizer - Class in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
AbstractLinearOptimizer() - Constructor for class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Simple constructor with default settings.
AbstractListChromosome<T> - Class in org.apache.commons.math3.genetics
  Chromosome represented by an immutable list of a fixed length.
AbstractListChromosome(List<T>) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
  Constructor.
AbstractListChromosome(T[]) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
  Constructor.
AbstractMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
  Abstract base class for implementations of MultipleLinearRegression.
AbstractMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
AbstractMultivariateRealDistribution - Class in org.apache.commons.math3.distribution
  Base class for multivariate probability distributions.
AbstractMultivariateRealDistribution(RandomGenerator, int) - Constructor for class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
AbstractParameterizable - Class in org.apache.commons.math3.ode
  This abstract class provides boilerplate parameters list.
AbstractParameterizable(String...) - Constructor for class org.apache.commons.math3.ode.AbstractParameterizable
  Simple constructor.
AbstractParameterizable(Collection<String>) - Constructor for class org.apache.commons.math3.ode.AbstractParameterizable
  Simple constructor.
AbstractPolynomialSolver - Class in org.apache.commons.math3.analysis.solvers
  Base class for solvers.
AbstractPolynomialSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
  Construct a solver with given absolute accuracy.
AbstractPolynomialSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
  Construct a solver with given accuracies.
AbstractPolynomialSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
  Construct a solver with given accuracies.
AbstractRandomGenerator - Class in org.apache.commons.math3.random
  Abstract class implementing the `RandomGenerator` interface.
AbstractRandomGenerator() - Constructor for class org.apache.commons.math3.random.AbstractRandomGenerator
  Construct a RandomGenerator.
AbstractRealDistribution - Class in org.apache.commons.math3.distribution
  Base class for probability distributions on the reals.
AbstractRealDistribution() - Constructor for class org.apache.commons.math3.distribution.AbstractRealDistribution
  Deprecated.
  As of 3.1, to be removed in 4.0. Please use `AbstractRealDistribution.AbstractRealDistribution(RandomGenerator)` instead.
AbstractRealDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.distribution.AbstractRealDistribution
AbstractRealMatrix - Class in org.apache.commons.math3.linear
  Basic implementation of RealMatrix methods regardless of the underlying storage.
AbstractRealMatrix() - Constructor for class org.apache.commons.math3.linear.AbstractRealMatrix
  Creates a matrix with no data
AbstractRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.AbstractRealMatrix
  Create a new RealMatrix with the supplied row and column dimensions.
AbstractRegion<S extends Space,T extends Space> - Class in org.apache.commons.math3.geometry.partitioning
  Abstract class for all regions, independently of geometry type or dimension.
AbstractRegion() - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Build a region representing the whole space.
AbstractRegion(BSPTree<S>) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Build a region from an inside/outside BSP tree.
AbstractRegion(Collection<SubHyperplane<S>>) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Build a Region from a Boundary REPresentation (B-rep).
AbstractRegion(Hyperplane<S>[]) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Build a convex region from an array of bounding hyperplanes.
AbstractRegion.BoundaryBuilder<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
  Visitor building boundary shell tree.
AbstractRegion.BoundaryBuilder() - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion.BoundaryBuilder
AbstractRegion.Sides - Class in org.apache.commons.math3.geometry.partitioning
  Utility class holding the already found sides.
AbstractRegion.Sides() - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion.Sides
  Simple constructor.
AbstractScalarDifferentiableOptimizer - Class in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
AbstractScalarDifferentiableOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
  Deprecated.
  See `SimpleValueChecker.SimpleValueChecker()`
AbstractScalarDifferentiableOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
  Deprecated.
AbstractSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  This class implements the simplex concept.
AbstractSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Build a unit hypercube simplex.
AbstractSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Build a hypercube simplex with the given side length.
AbstractSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  The start configuration for simplex is built from a box parallel to the canonical axes of the space.
AbstractSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  The real initial simplex will be set up by moving the reference simplex such that its first point is located at the start point of the optimization.
AbstractSimplex - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
AbstractSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Build a unit hypercube simplex.
AbstractSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Build a hypercube simplex with the given side length.
AbstractSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  The start configuration for simplex is built from a box parallel to the canonical axes of the space.
AbstractSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  The real initial simplex will be set up by moving the reference simplex such that its first point is located at the start point of the optimization.
AbstractStepInterpolator - Class in org.apache.commons.math3.ode.sampling
  This abstract class represents an interpolator over the last step during an ODE integration.
AbstractStepInterpolator() - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Simple constructor.
AbstractStepInterpolator(double[], boolean, EquationsMapper, EquationsMapper[]) - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Simple constructor.
AbstractStepInterpolator(AbstractStepInterpolator) - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Copy constructor.
AbstractStorelessUnivariateStatistic - Class in org.apache.commons.math3.stat.descriptive
  Abstract implementation of the `StorelessUnivariateStatistic` interface.
AbstractStorelessUnivariateStatistic() - Constructor for class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
AbstractSubHyperplane<S extends Space,T extends Space> - Class in org.apache.commons.math3.geometry.partitioning
  This class implements the dimension-independent parts of `SubHyperplane`.
AbstractSubHyperplane(Hyperplane<S>, Region<T>) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Build a sub-hyperplane from an hyperplane and a region.
AbstractUnivariateDifferentiableSolver - Class in org.apache.commons.math3.analysis.solvers
  Provide a default implementation for several functions useful to generic solvers.
AbstractUnivariateDifferentiableSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
  Construct a solver with given absolute accuracy.
AbstractUnivariateDifferentiableSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
  Construct a solver with given accuracies.
AbstractUnivariateSolver - Class in org.apache.commons.math3.analysis.solvers
  Base class for solvers.
AbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
  Construct a solver with given absolute accuracy.
AbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
  Construct a solver with given accuracies.
AbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
  Construct a solver with given accuracies.
AbstractUnivariateStatistic - Class in org.apache.commons.math3.stat.descriptive
  Abstract base class for all implementations of the `UnivariateStatistic` interface.
AbstractUnivariateStatistic() - Constructor for class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
AbstractWell - Class in org.apache.commons.math3.random
  This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
AbstractWell(int, int, int, int) - Constructor for class org.apache.commons.math3.random.AbstractWell
  Creates a new random number generator.
AbstractWell(int, int, int, int, int) - Constructor for class org.apache.commons.math3.random.AbstractWell
  Creates a new random number generator using a single int seed.
AbstractWell(int, int, int, int, int[]) - Constructor for class org.apache.commons.math3.random.AbstractWell
  Creates a new random number generator using an int array seed.
AbstractWell(int, int, int, int, long) - Constructor for class org.apache.commons.math3.random.AbstractWell
  Creates a new random number generator using a single long seed.
acceptStep(AbstractStepInterpolator, double[], double[], double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Accept a step, triggering events and step handlers.
accuracy - Variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  If the median residual at a certain robustness iteration is less than this amount, no more iterations are done.
acos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Arc cosine operation.
acos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute arc cosine of a derivative structure.
Acos - Class in org.apache.commons.math3.analysis.function
  Arc-cosine function.
Acos() - Constructor for class org.apache.commons.math3.analysis.function.Acos
acos() - Method in class org.apache.commons.math3.complex.Complex
  Compute the inverse cosine of this complex number.
acos(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  computes the arc-cosine of the argument.
acos(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the arc cosine of a number.
acosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Inverse hyperbolic cosine operation.
acosh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute inverse hyperbolic cosine of a derivative structure.
Acosh - Class in org.apache.commons.math3.analysis.function
  Hyperbolic arc-cosine function.
Acosh() - Constructor for class org.apache.commons.math3.analysis.function.Acosh
acosh(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the inverse hyperbolic cosine of a number.
AdamsBashforthIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.
AdamsBashforthIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
  Build an Adams-Bashforth integrator with the given order and step control parameters.
AdamsBashforthIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
  Build an Adams-Bashforth integrator with the given order and step control parameters.
AdamsIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  Base class for `Adams-Bashforth` and `Adams-Moulton` integrators.
AdamsIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
  Build an Adams integrator with the given order and step control parameters.
AdamsIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
  Build an Adams integrator with the given order and step control parameters.
AdamsMoultonIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.
AdamsMoultonIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
  Build an Adams-Moulton integrator with the given order and error control parameters.
AdamsMoultonIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
  Build an Adams-Moulton integrator with the given order and error control parameters.
AdamsMoultonIntegrator.Corrector - Class in org.apache.commons.math3.ode.nonstiff
  Corrector for current state in Adams-Moulton method.
AdamsMoultonIntegrator.Corrector(double[], double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
  Simple constructor.
AdamsNordsieckTransformer - Class in org.apache.commons.math3.ode.nonstiff
  Transformer to Nordsieck vectors for Adams integrators.
AdamsNordsieckTransformer(int) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
  Simple constructor.
AdaptiveStepsizeIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations.
AdaptiveStepsizeIntegrator(String, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Build an integrator with the given stepsize bounds.
AdaptiveStepsizeIntegrator(String, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Build an integrator with the given stepsize bounds.
add(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  '+' operator.
add(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  '+' operator.
add(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Perform addition of two derivative structures.
Add - Class in org.apache.commons.math3.analysis.function
  Add the two operands.
Add() - Constructor for class org.apache.commons.math3.analysis.function.Add
add(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Adds functions.
add(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Adds functions.
add(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  as of 3.1 replaced by `FunctionUtils.add(UnivariateDifferentiableFunction...)`
add(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Add a polynomial to the instance.
add(Complex) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `(this + addend)`.
add(double) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `(this + addend)`, with `addend` interpreted as a real number.
add(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
  Computes the sum of two quaternions.
add(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
  Computes the sum of the instance and another quaternion.
add(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Add x to this.
add(T) - Method in interface org.apache.commons.math3.FieldElement
  Compute this + a.
add(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
  Adds the value of this fraction to the passed `BigInteger`, returning the result in reduced form.
add(int) - Method in class org.apache.commons.math3.fraction.BigFraction
  Adds the value of this fraction to the passed `integer`, returning the result in reduced form.
add(long) - Method in class org.apache.commons.math3.fraction.BigFraction
  Adds the value of this fraction to the passed `long`, returning the result in reduced form.
add(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
  Adds the value of this fraction to another, returning the result in reduced form.
add(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
  Adds the value of this fraction to another, returning the result in reduced form.
add(int) - Method in class org.apache.commons.math3.fraction.Fraction
  Add an integer to the fraction.
add(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Add a vector to the instance.
add(double, Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Add a scaled vector to the instance.
add(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Add a vector to the instance.
add(double, Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Add a scaled vector to the instance.
add(Vector2D[]) - Method in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
  Add a loop in a tree.
add(NestedLoops) - Method in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
  Add a loop in a tree.
add(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Add a vector to the instance.
add(double, Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Add a scaled vector to the instance.
add(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Add a vector to the instance.
add(double, Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Add a scaled vector to the instance.
add(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the sum of `this` and `m`.
add(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Add `m` to this matrix.
add(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Compute the sum of `this` and `m`.
add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute the sum of `this` and `v`.
add(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute the sum of `this` and `v`.
add(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Compute the sum of this vector and `v`.
add(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Compute the sum of this and m.
add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Compute the sum of `this` and `m`.
add(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the sum of `this` and `m`.
add(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Compute the sum of this matrix and `m`.
add(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Compute the sum of this and m.
add(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Compute the sum of `this` and `v`.
add(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Compute the sum of this matrix and `m`.
add(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Compute the sum of this vector and `v`.
add(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Optimized method to add two OpenMapRealVectors.
add(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the sum of `this` and `m`.
add(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Compute the sum of this vector and `v`.
add(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Optimized method to add sparse vectors.
add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Compute the sum of `this` and `v`.
add(BigReal) - Method in class org.apache.commons.math3.util.BigReal
  Compute this + a.
add(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Compute this + a.
ADD_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
  Name for traps triggered by addition.
addAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Add two integers, checking for overflow.
addAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Add two long integers, checking for overflow.
addAndCheck(long, long, Localizable) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Add two long integers, checking for overflow.
addChromosome(Chromosome) - Method in class org.apache.commons.math3.genetics.ListPopulation
  Add the given chromosome to the population.
addChromosome(Chromosome) - Method in interface org.apache.commons.math3.genetics.Population
  Add the given chromosome to the population.
addChromosomes(Collection<Chromosome>) - Method in class org.apache.commons.math3.genetics.ListPopulation
  Add a `Collection` of chromosomes to this `Population`.
addContribution(SubHyperplane<Euclidean3D>, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
  Add he contribution of a boundary facet.
addContribution(SubHyperplane<Euclidean3D>, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.FacetsContributionVisitor
  Add he contribution of a boundary facet.
addContribution(SubHyperplane<Euclidean2D>, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
  Add he contribution of a boundary facet.
addData(double, double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Adds the observation (x,y) to the regression data set.
addData(double[][]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Adds the observations represented by the elements in `data`.
addElement(double) - Method in interface org.apache.commons.math3.util.DoubleArray
  Adds an element to the end of this expandable array
addElement(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Adds an element to the end of this expandable array.
addElementRolling(double) - Method in interface org.apache.commons.math3.util.DoubleArray
  Adds an element to the end of the array and removes the first element in the array.
addElementRolling(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Adds an element to the end of the array and removes the first element in the array.
addElements(double[]) - Method in interface org.apache.commons.math3.util.DoubleArray
  Adds elements to the end of this expandable array
addElements(double[]) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Adds several element to the end of this expandable array.
addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Add an event handler to the integrator.
addIterationListener(IterationListener) - Method in class org.apache.commons.math3.util.IterationManager
  Attaches a listener to this manager.
ADDITIVE_MODE - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.ExpansionMode.ADDITIVE` instead.
addMessage(Localizable, Object...) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Adds a message.
addObservation(double[], double) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Adds an observation to the regression model.
addObservation(double[], double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Adds one observation to the regression model.
addObservation(double[], double) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
  Adds one observation to the regression model.
addObservations(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Adds multiple observations to the model.
addObservations(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Adds a series of observations to the regression model.
addObservations(double[][], double[]) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
  Adds a series of observations to the regression model.
addObservedPoint(double, double) - Method in class org.apache.commons.math3.fitting.CurveFitter
  Add an observed (x,y) point to the sample with unit weight.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math3.fitting.CurveFitter
  Add an observed weighted (x,y) point to the sample.
addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math3.fitting.CurveFitter
  Add an observed weighted (x,y) point to the sample.
addObservedPoint(double, double) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Add an observed (x,y) point to the sample with unit weight.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Add an observed weighted (x,y) point to the sample.
addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Add an observed weighted (x,y) point to the sample.
addParameterJacobianProvider(ParameterJacobianProvider) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Add a parameter Jacobian provider.
addPoint(T) - Method in class org.apache.commons.math3.stat.clustering.Cluster
  Add a point to this cluster.
addRule(Pair<T[], T[]>) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
  Stores a rule.
addSamplePoint(double, double[]...) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
  Add a sample point.
addSecondaryEquations(SecondaryEquations) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Add a set of secondary equations to be integrated along with the primary set.
addStepHandler(StepHandler) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Add a step handler to this integrator.
addStepHandler(StepHandler) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Add a step handler to this integrator.
addStepHandler(StepHandler) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Add a step handler to this integrator.
addSub(Fraction, boolean) - Method in class org.apache.commons.math3.fraction.Fraction
  Implement add and subtract using algorithm described in Knuth 4.5.1.
addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Adds (in place) the specified value to the specified entry of `this` matrix.
addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Adds (in place) the specified value to the specified entry of `this` matrix.
addToEntry(int, double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Change an entry at the specified index.
addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Adds (in place) the specified value to the specified entry of `this` matrix.
addToEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Adds (in place) the specified value to the specified entry of `this` matrix.
addToEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Adds (in place) the specified value to the specified entry of `this` matrix.
addToEntry(int, double) - Method in class org.apache.commons.math3.linear.RealVector
  Change an entry at the specified index.
addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Change an entry in the specified row and column.
addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
  Add a value to the data
addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Adds the value to the dataset.
addValue(double[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Add an n-tuple to the data
addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Add a value to the data
addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Adds the value to the dataset.
addValue(double[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Add an n-tuple to the data
addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Add a value to the data
addValue(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
  Adds 1 to the frequency count for v.
addValue(int) - Method in class org.apache.commons.math3.stat.Frequency
  Adds 1 to the frequency count for v.
addValue(long) - Method in class org.apache.commons.math3.stat.Frequency
  Adds 1 to the frequency count for v.
addValue(char) - Method in class org.apache.commons.math3.stat.Frequency
  Adds 1 to the frequency count for v.
ADJRSQ_IDX - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
  INDEX of Adjusted R Squared
advance(RealVector.Entry) - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
  Deprecated.
  Advance an entry up to the next nonzero one.
advance() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
  Advance iterator one step further.
advance() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
  Advance iterator one step further.
after - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
  Current state after correction.
aggregate(Collection<SummaryStatistics>) - Static method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Computes aggregate summary statistics.
aggregateStatistics - Variable in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
  An additional SummaryStatistics into which values added to these statistics (and possibly others) are aggregated
AggregateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
  An aggregator for `SummaryStatistics` from several data sets or data set partitions.
AggregateSummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Initializes a new AggregateSummaryStatistics with default statistics implementations.
AggregateSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
AggregateSummaryStatistics(SummaryStatistics, SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
AggregateSummaryStatistics.AggregatingSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
  A SummaryStatistics that also forwards all values added to it to a second `SummaryStatistics` for aggregation.
AggregateSummaryStatistics.AggregatingSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
  Initializes a new AggregatingSummaryStatistics with the specified aggregate statistics object
AINV - Static variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
  Matrix to compute the spline coefficients from the function values and function derivatives values
AINV - Static variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
  Matrix to compute the spline coefficients from the function values and function derivatives values
align(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Make our exp equal to the supplied one, this may cause rounding.
ALIGN_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
  Name for traps triggered by alignment.
allocateInterpolatedArrays(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Allocate the various interpolated states arrays.
allowed - Variable in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  The kinds of solutions that the algorithm may accept.
allowed - Variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  The kinds of solutions that the algorithm may accept.
AllowedSolution - Enum in org.apache.commons.math3.analysis.solvers
  The kinds of solutions that a `(bracketed univariate real) root-finding algorithm` may accept as solutions.
AllowedSolution() - Constructor for enum org.apache.commons.math3.analysis.solvers.AllowedSolution
alpha - Variable in class org.apache.commons.math3.distribution.BetaDistribution
  First shape parameter.
alpha - Variable in class org.apache.commons.math3.random.StableRandomGenerator
  stability parameter
alternativeNewPoint - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Alternative to `BOBYQAOptimizer.newPoint`, chosen by `altmov`.
alternativeNewPoint - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Alternative to `BOBYQAOptimizer.newPoint`, chosen by `altmov`.
altmov(int, double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  The arguments N, NPT, XPT, XOPT, BMAT, ZMAT, NDIM, SL and SU all have the same meanings as the corresponding arguments of BOBYQB.
altmov(int, double) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  The arguments N, NPT, XPT, XOPT, BMAT, ZMAT, NDIM, SL and SU all have the same meanings as the corresponding arguments of BOBYQB.
amplitude - Variable in class org.apache.commons.math3.analysis.function.HarmonicOscillator
  Amplitude.
angle(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the angular separation between two vectors.
angle - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Angle with respect to the abscissa axis.
anovaFValue(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
  Computes the ANOVA F-value for a collection of `double[]` arrays.
anovaPValue(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
  Computes the ANOVA P-value for a collection of `double[]` arrays.
anovaStats(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
  This method actually does the calculations (except P-value).
anovaTest(Collection<double[]>, double) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
  Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.
AnyMatrix - Interface in org.apache.commons.math3.linear
  Interface defining very basic matrix operations.
append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending a vector to this vector.
append(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending a T to this vector.
append(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Construct a new vector by appending a vector to this vector.
append(ArrayRealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Construct a new vector by appending a double to this vector.
append(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Construct a vector by appending a vector to this vector.
append(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Construct a vector by appending a T to this vector.
append(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Optimized method to append a OpenMapRealVector.
append(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Construct a new vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Construct a new vector by appending a double to this vector.
append(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Construct a new vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math3.linear.RealVector
  Construct a new vector by appending a double to this vector.
append(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Construct a vector by appending a vector to this vector.
append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Construct a vector by appending a T to this vector.
append(ContinuousOutputModel) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Append another model at the end of the instance.
append(StringBuilder, double[], String, String, String) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Append a text representation of an array to a buffer.
apply(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
  Compute the value of the bicubic polynomial.
apply(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
  Transform a point of a space.
apply(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
  Transform an hyperplane of a space.
apply(SubHyperplane<Euclidean2D>, Hyperplane<Euclidean3D>, Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
  Transform a sub-hyperplane embedded in an hyperplane.
apply(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
  Transform a point of a space.
apply(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
  Transform an hyperplane of a space.
apply(SubHyperplane<Euclidean2D>, Hyperplane<Euclidean3D>, Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
  Transform a sub-hyperplane embedded in an hyperplane.
apply(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
  Transform a point of a space.
apply(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
  Transform an hyperplane of a space.
apply(SubHyperplane<Euclidean1D>, Hyperplane<Euclidean2D>, Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
  Transform a sub-hyperplane embedded in an hyperplane.
apply(Vector<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
  Transform a point of a space.
apply(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
  Transform an hyperplane of a space.
apply(SubHyperplane<T>, Hyperplane<S>, Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
  Transform a sub-hyperplane embedded in an hyperplane.
apply(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Apply the given statistic to the data associated with this set of statistics.
apply(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Apply the given statistic to the data associated with this set of statistics.
applyInverseTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Apply the inverse of the rotation to a vector.
applyInverseTo(double[], double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Apply the inverse of the rotation to a vector stored in an array.
applyInverseTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Apply the inverse of the instance to another rotation.
applyTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Apply the rotation to a vector.
applyTo(double[], double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Apply the rotation to a vector stored in an array.
applyTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Apply the instance to another rotation.
applyTransform(Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Transform a region.
applyTransform(Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Apply a transform to the instance.
argument - Variable in exception org.apache.commons.math3.exception.MathIllegalNumberException
  Requested.
ArgUtils - Class in org.apache.commons.math3.exception.util
  Utility class for transforming the list of arguments passed to constructors of exceptions.
ArgUtils() - Constructor for class org.apache.commons.math3.exception.util.ArgUtils
  Class contains only static methods.
ArithmeticUtils - Class in org.apache.commons.math3.util
  Some useful, arithmetics related, additions to the built-in functions in `Math`.
ArithmeticUtils() - Constructor for class org.apache.commons.math3.util.ArithmeticUtils
  Private constructor.
arity - Variable in class org.apache.commons.math3.genetics.TournamentSelection
  number of chromosomes included in the tournament selections
arr - Variable in class org.apache.commons.math3.random.ISAACRandom
  Service variable.
Array2DRowFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Implementation of FieldMatrix<T> using a `FieldElement`[][] array to store entries.
Array2DRowFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Creates a matrix with no data
Array2DRowFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new `FieldMatrix<T>` with the supplied row and column dimensions.
Array2DRowFieldMatrix(T[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new `FieldMatrix<T>` using the input array as the underlying data array.
Array2DRowFieldMatrix(Field<T>, T[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new `FieldMatrix<T>` using the input array as the underlying data array.
Array2DRowFieldMatrix(T[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new `FieldMatrix<T>` using the input array as the underlying data array.
Array2DRowFieldMatrix(Field<T>, T[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new `FieldMatrix<T>` using the input array as the underlying data array.
Array2DRowFieldMatrix(T[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new (column) `FieldMatrix<T>` using `v` as the data for the unique column of the created matrix.
Array2DRowFieldMatrix(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new (column) `FieldMatrix<T>` using `v` as the data for the unique column of the created matrix.
Array2DRowRealMatrix - Class in org.apache.commons.math3.linear
  Implementation of `RealMatrix` using a `double[][]` array to store entries.
Array2DRowRealMatrix() - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Creates a matrix with no data
Array2DRowRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Create a new RealMatrix with the supplied row and column dimensions.
Array2DRowRealMatrix(double[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Create a new `RealMatrix` using the input array as the underlying data array.
Array2DRowRealMatrix(double[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Create a new RealMatrix using the input array as the underlying data array.
Array2DRowRealMatrix(double[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Create a new (column) RealMatrix using `v` as the data for the unique column of the created matrix.
ArrayFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  This class implements the `FieldVector` interface with a `FieldElement` array.
ArrayFieldVector(Field<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Build a 0-length vector.
ArrayFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector of zeroes.
ArrayFieldVector(int, T) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector with preset values.
ArrayFieldVector(T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector from an array, copying the input array.
ArrayFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector from an array, copying the input array.
ArrayFieldVector(T[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Create a new ArrayFieldVector using the input array as the underlying data array.
ArrayFieldVector(Field<T>, T[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Create a new ArrayFieldVector using the input array as the underlying data array.
ArrayFieldVector(T[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector from part of a array.
ArrayFieldVector(Field<T>, T[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector from part of a array.
ArrayFieldVector(FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector from another vector.
ArrayFieldVector(ArrayFieldVector<T>, ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending one vector to another vector.
ArrayFieldVector(ArrayFieldVector<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending one vector to another vector.
ArrayFieldVector(Field<T>, T[], T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
  Construct a vector by appending one vector to another vector.
ArrayRealVector - Class in org.apache.commons.math3.linear
  This class implements the `RealVector` interface with a double array.
ArrayRealVector() - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Build a 0-length vector.
ArrayRealVector(int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector of zeroes.
ArrayRealVector(int, double) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector with preset values.
ArrayRealVector(double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector from an array, copying the input array.
ArrayRealVector(double[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Create a new ArrayRealVector using the input array as the underlying data array.
ArrayRealVector(double[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector from part of a array.
ArrayRealVector(Double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector from an array.
ArrayRealVector(Double[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector from part of an array.
ArrayRealVector(RealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector, boolean) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector from another vector.
ArrayRealVector(ArrayRealVector, ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, RealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector by appending one vector to another vector.
ArrayRealVector(RealVector, ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
  Construct a vector by appending one vector to another vector.
asin() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Arc sine operation.
asin(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute arc sine of a derivative structure.
Asin - Class in org.apache.commons.math3.analysis.function
  Arc-sine function.
Asin() - Constructor for class org.apache.commons.math3.analysis.function.Asin
asin() - Method in class org.apache.commons.math3.complex.Complex
  Compute the inverse sine of this complex number.
asin(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  computes the arc-sine of the argument.
asin(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the arc sine of a number.
asinh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Inverse hyperbolic sine operation.
asinh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute inverse hyperbolic sine of a derivative structure.
Asinh - Class in org.apache.commons.math3.analysis.function
  Hyperbolic arc-sine function.
Asinh() - Constructor for class org.apache.commons.math3.analysis.function.Asinh
asinh(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the inverse hyperbolic sine of a number.
asList() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Build an ordered list of intervals representing the instance.
assignPointsToClusters(List<Cluster<T>>, Collection<T>, int[]) - Static method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Adds the given points to the closest `Cluster`.
atan() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Arc tangent operation.
atan(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute arc tangent of a derivative structure.
Atan - Class in org.apache.commons.math3.analysis.function
  Arc-tangent function.
Atan() - Constructor for class org.apache.commons.math3.analysis.function.Atan
atan() - Method in class org.apache.commons.math3.complex.Complex
  Compute the inverse tangent of this complex number.
atan(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  computes the arc tangent of the argument Uses the typical taylor series but may reduce arguments using the following identity tan(x+y) = (tan(x) + tan(y)) / (1 - tan(x)*tan(y)) since tan(PI/8) = sqrt(2)-1, atan(x) = atan( (x - sqrt(2) + 1) / (1+x*sqrt(2) - x) + PI/8.0
atan(double) - Static method in class org.apache.commons.math3.util.FastMath
  Arctangent function
atan(double, double, boolean) - Static method in class org.apache.commons.math3.util.FastMath
  Internal helper function to compute arctangent.
atan2(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Two arguments arc tangent operation.
atan2(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute two arguments arc tangent of a derivative structure.
Atan2 - Class in org.apache.commons.math3.analysis.function
  Arc-tangent function.
Atan2() - Constructor for class org.apache.commons.math3.analysis.function.Atan2
atan2(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Two arguments arctangent function
atanh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Inverse hyperbolic tangent operation.
atanh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute inverse hyperbolic tangent of a derivative structure.
Atanh - Class in org.apache.commons.math3.analysis.function
  Hyperbolic arc-tangent function.
Atanh() - Constructor for class org.apache.commons.math3.analysis.function.Atanh
atanh(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the inverse hyperbolic tangent of a number.
atanInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  computes the arc-tangent of the argument.
attribute - Variable in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Application-defined attribute.
AVLTree<T extends java.lang.Comparable<T>> - Class in org.apache.commons.math3.geometry.partitioning.utilities
  This class implements AVL trees.
AVLTree() - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Build an empty tree.
AVLTree.Node - Class in org.apache.commons.math3.geometry.partitioning.utilities
  This class implements AVL trees nodes.
AVLTree.Node(T, AVLTree<T>.Node) - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Build a node for a specified element.
AVLTree.Skew - Enum in org.apache.commons.math3.geometry.partitioning.utilities
  Enum for tree skew factor.
AVLTree.Skew() - Constructor for enum org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Skew

## B

b - Variable in class org.apache.commons.math3.analysis.function.Logistic
  Growth rate.
b - Variable in class org.apache.commons.math3.distribution.TriangularDistribution
  Upper limit of this distribution (inclusive).
b - Variable in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  The right-hand side vector.
b - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  Reference to the right-hand side vector.
b - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  External weights for the high order method from Butcher array.
b - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
  External weights for the high order method from Butcher array.
B - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Coordinate system.
B - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Coordinate system.
B_01 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Propagation weights, element 1.
B_06 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Propagation weights, element 6.
B_07 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Propagation weights, element 7.
B_08 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Propagation weights, element 8.
B_09 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Propagation weights, element 9.
B_10 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Propagation weights, element 10.
B_11 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Propagation weights, element 11.
B_12 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Propagation weights, element 12.
bandwidth - Variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  The bandwidth parameter: when computing the loess fit at a particular point, this fraction of source points closest to the current point is taken into account for computing a least-squares regression.
barycenter - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Barycenter.
BaseAbstractMultivariateOptimizer<FUNC extends MultivariateFunction> - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseAbstractMultivariateOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  See `SimpleValueChecker.SimpleValueChecker()`
BaseAbstractMultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
BaseAbstractMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction> - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseAbstractMultivariateSimpleBoundsOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
  Deprecated.
  See `SimpleValueChecker.SimpleValueChecker()`
BaseAbstractMultivariateSimpleBoundsOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
  Deprecated.
BaseAbstractMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction> - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseAbstractMultivariateVectorOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  See `SimpleVectorValueChecker.SimpleVectorValueChecker()`
BaseAbstractMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
BaseAbstractUnivariateIntegrator - Class in org.apache.commons.math3.analysis.integration
  Provide a default implementation for several generic functions.
BaseAbstractUnivariateIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Construct an integrator with given accuracies and iteration counts.
BaseAbstractUnivariateIntegrator(double, double) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Construct an integrator with given accuracies.
BaseAbstractUnivariateIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Construct an integrator with given iteration counts.
BaseAbstractUnivariateOptimizer - Class in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseAbstractUnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
BaseAbstractUnivariateSolver<FUNC extends UnivariateFunction> - Class in org.apache.commons.math3.analysis.solvers
  Provide a default implementation for several functions useful to generic solvers.
BaseAbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Construct a solver with given absolute accuracy.
BaseAbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Construct a solver with given accuracies.
BaseAbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Construct a solver with given accuracies.
BaseMultiStartMultivariateOptimizer<PAIR> - Class in org.apache.commons.math3.optim
  Base class multi-start optimizer for a multivariate function.
BaseMultiStartMultivariateOptimizer(BaseMultivariateOptimizer<PAIR>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Create a multi-start optimizer from a single-start optimizer.
BaseMultivariateMultiStartOptimizer<FUNC extends MultivariateFunction> - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseMultivariateMultiStartOptimizer(BaseMultivariateOptimizer<FUNC>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
BaseMultivariateOptimizer<PAIR> - Class in org.apache.commons.math3.optim
  Base class for implementing optimizers for multivariate functions.
BaseMultivariateOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.BaseMultivariateOptimizer
BaseMultivariateOptimizer<FUNC extends MultivariateFunction> - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction> - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseMultivariateVectorMultiStartOptimizer<FUNC extends MultivariateVectorFunction> - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseMultivariateVectorMultiStartOptimizer(BaseMultivariateVectorOptimizer<FUNC>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
BaseMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction> - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseOptimizer<PAIR> - Class in org.apache.commons.math3.optim
  Base class for implementing optimizers.
BaseOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.BaseOptimizer
BaseOptimizer<PAIR> - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseOptimizer.MaxEvalCallback - Class in org.apache.commons.math3.optim
  Defines the action to perform when reaching the maximum number of evaluations.
BaseOptimizer.MaxEvalCallback() - Constructor for class org.apache.commons.math3.optim.BaseOptimizer.MaxEvalCallback
BaseOptimizer.MaxIterCallback - Class in org.apache.commons.math3.optim
  Defines the action to perform when reaching the maximum number of evaluations.
BaseOptimizer.MaxIterCallback() - Constructor for class org.apache.commons.math3.optim.BaseOptimizer.MaxIterCallback
BaseRuleFactory<T extends java.lang.Number> - Class in org.apache.commons.math3.analysis.integration.gauss
  Base class for rules that determines the integration nodes and their weights.
BaseRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
BaseSecantSolver - Class in org.apache.commons.math3.analysis.solvers
  Base class for all bracketing Secant-based methods for root-finding (approximating a zero of a univariate real function).
BaseSecantSolver(double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Construct a solver.
BaseSecantSolver(double, double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Construct a solver.
BaseSecantSolver(double, double, double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Construct a solver.
BaseSecantSolver.Method - Enum in org.apache.commons.math3.analysis.solvers
  Secant-based root-finding methods.
BaseSecantSolver.Method() - Constructor for enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
baseSeqPermutation - Variable in class org.apache.commons.math3.genetics.RandomKey
  Base sequence [0,1,...,n-1], permuted accorting to the representation (unmodifiable).
baseSequence(int) - Static method in class org.apache.commons.math3.genetics.RandomKey
  Helper for constructor.
BaseUnivariateOptimizer<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BaseUnivariateSolver<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math3.analysis.solvers
  Interface for (univariate real) rootfinding algorithms.
basicGuess(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
  Guesses the parameters based on the specified observed points.
basicGuess(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
  Deprecated.
  Guesses the parameters based on the specified observed points.
BD - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  B*D, stored for efficiency.
BD - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  B*D, stored for efficiency.
before - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
  Current state before correction.
bEqualsNullVector() - Method in class org.apache.commons.math3.linear.SymmLQ.State
  Returns `true` if the right-hand side vector is zero exactly.
best(UnivariatePointValuePair, UnivariatePointValuePair, boolean) - Method in class org.apache.commons.math3.optim.univariate.BrentOptimizer
  Selects the best of two points.
best(UnivariatePointValuePair, UnivariatePointValuePair, boolean) - Method in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
  Deprecated.
  Selects the best of two points.
beta - Variable in class org.apache.commons.math3.distribution.BetaDistribution
  Second shape parameter.
beta - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of beta[k+1].
beta - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Coefficients of the Householder transforms vectors.
beta - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Coefficients of the Householder transforms vectors.
beta - Variable in class org.apache.commons.math3.random.StableRandomGenerator
  skewness parameter
Beta - Class in org.apache.commons.math3.special
  This is a utility class that provides computation methods related to the Beta family of functions.
Beta() - Constructor for class org.apache.commons.math3.special.Beta
  Default constructor.
beta1 - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of beta[1].
BetaDistribution - Class in org.apache.commons.math3.distribution
  Implements the Beta distribution.
BetaDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
  Build a new instance.
BetaDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
  Build a new instance.
BetaDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
  Creates a β distribution.
betaEqualsZero() - Method in class org.apache.commons.math3.linear.SymmLQ.State
  Returns `true` if `beta` is essentially zero.
biasCorrected - Variable in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
  flag for bias correction
biasCorrected - Variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Determines whether or not bias correction is applied when computing the value of the statisic.
BicubicSplineFunction - Class in org.apache.commons.math3.analysis.interpolation
  2D-spline function.
BicubicSplineFunction(double[]) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
  Simple constructor.
BicubicSplineInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
  Function that implements the bicubic spline interpolation.
BicubicSplineInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
BicubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Generates a bicubic interpolating function.
BicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
BiDiagonalTransformer - Class in org.apache.commons.math3.linear
  Class transforming any matrix to bi-diagonal shape.
BiDiagonalTransformer(RealMatrix) - Constructor for class org.apache.commons.math3.linear.BiDiagonalTransformer
  Build the transformation to bi-diagonal shape of a matrix.
bigDecimalValue() - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction as a `BigDecimal`.
bigDecimalValue(int) - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction as a `BigDecimal` following the passed rounding mode.
bigDecimalValue(int, int) - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction as a `BigDecimal` following the passed scale and rounding mode.
bigDecimalValue() - Method in class org.apache.commons.math3.util.BigReal
  Get the BigDecimal value corresponding to the instance.
BigFraction - Class in org.apache.commons.math3.fraction
  Representation of a rational number without any overflow.
BigFraction(BigInteger) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a `BigFraction` equivalent to the passed `BigInteger`, ie "num / 1".
BigFraction(BigInteger, BigInteger) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a `BigFraction` given the numerator and denominator as `BigInteger`.
BigFraction(double) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a fraction given the double value.
BigFraction(double, double, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a fraction given the double value and maximum error allowed.
BigFraction(double, double, int, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a fraction given the double value and either the maximum error allowed or the maximum number of denominator digits.
BigFraction(double, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a fraction given the double value and maximum denominator.
BigFraction(int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a `BigFraction` equivalent to the passed `int`, ie "num / 1".
BigFraction(int, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a `BigFraction` given the numerator and denominator as simple `int`.
BigFraction(long) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a `BigFraction` equivalent to the passed long, ie "num / 1".
BigFraction(long, long) - Constructor for class org.apache.commons.math3.fraction.BigFraction
  Create a `BigFraction` given the numerator and denominator as simple `long`.
BigFractionField - Class in org.apache.commons.math3.fraction
  Representation of the fractional numbers without any overflow field.
BigFractionField() - Constructor for class org.apache.commons.math3.fraction.BigFractionField
  Private constructor for the singleton.
BigFractionField.LazyHolder - Class in org.apache.commons.math3.fraction
  Holder for the instance.
BigFractionField.LazyHolder() - Constructor for class org.apache.commons.math3.fraction.BigFractionField.LazyHolder
BigFractionFormat - Class in org.apache.commons.math3.fraction
  Formats a BigFraction number in proper format or improper format.
BigFractionFormat() - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat
  Create an improper formatting instance with the default number format for the numerator and denominator.
BigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat
  Create an improper formatting instance with a custom number format for both the numerator and denominator.
BigFractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat
  Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
bigFractionMatrixToRealMatrix(FieldMatrix<BigFraction>) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Convert a `FieldMatrix`/`BigFraction` matrix to a `RealMatrix`.
BigReal - Class in org.apache.commons.math3.util
  Arbitrary precision decimal number.
BigReal(BigDecimal) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a BigDecimal.
BigReal(BigInteger) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a BigInteger.
BigReal(BigInteger, int) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from an unscaled BigInteger.
BigReal(BigInteger, int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from an unscaled BigInteger.
BigReal(BigInteger, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a BigInteger.
BigReal(char[]) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a characters representation.
BigReal(char[], int, int) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a characters representation.
BigReal(char[], int, int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a characters representation.
BigReal(char[], MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a characters representation.
BigReal(double) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a double.
BigReal(double, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a double.
BigReal(int) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from an int.
BigReal(int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from an int.
BigReal(long) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a long.
BigReal(long, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a long.
BigReal(String) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a String representation.
BigReal(String, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
  Build an instance from a String representation.
BigRealField - Class in org.apache.commons.math3.util
  Representation of real numbers with arbitrary precision field.
BigRealField() - Constructor for class org.apache.commons.math3.util.BigRealField
  Private constructor for the singleton.
BigRealField.LazyHolder - Class in org.apache.commons.math3.util
  Holder for the instance.
BigRealField.LazyHolder() - Constructor for class org.apache.commons.math3.util.BigRealField.LazyHolder
BinaryChromosome - Class in org.apache.commons.math3.genetics
  Chromosome represented by a vector of 0s and 1s.
BinaryChromosome(List<Integer>) - Constructor for class org.apache.commons.math3.genetics.BinaryChromosome
  Constructor.
BinaryChromosome(Integer[]) - Constructor for class org.apache.commons.math3.genetics.BinaryChromosome
  Constructor.
BinaryMutation - Class in org.apache.commons.math3.genetics
  Mutation for `BinaryChromosome`s.
BinaryMutation() - Constructor for class org.apache.commons.math3.genetics.BinaryMutation
binCount - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
  number of bins
bindWith(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
  Bind a line considered to contain this vertex.
binomialCoefficient(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Returns an exact representation of the Binomial Coefficient, "`n choose k`", the number of `k`-element subsets that can be selected from an `n`-element set.
binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Returns a `double` representation of the Binomial Coefficient, "`n choose k`", the number of `k`-element subsets that can be selected from an `n`-element set.
binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Returns the natural `log` of the Binomial Coefficient, "`n choose k`", the number of `k`-element subsets that can be selected from an `n`-element set.
BinomialDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the binomial distribution.
BinomialDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.BinomialDistribution
  Create a binomial distribution with the given number of trials and probability of success.
BinomialDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.BinomialDistribution
  Creates a binomial distribution.
binStats - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
  List of SummaryStatistics objects characterizing the bins
BisectionSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements the bisection algorithm for finding zeros of univariate real functions.
BisectionSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver
  Construct a solver with default accuracy (1e-6).
BisectionSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver
  Construct a solver.
BisectionSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver
  Construct a solver.
bIsNull - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of `b == 0` (exact floating-point equality).
bitReversalShuffle2(double[], double[]) - Static method in class org.apache.commons.math3.transform.FastFourierTransformer
  Performs identical index bit reversal shuffles on two arrays of identical size.
BitsStreamGenerator - Class in org.apache.commons.math3.random
  Base class for random number generators that generates bits streams.
BitsStreamGenerator() - Constructor for class org.apache.commons.math3.random.BitsStreamGenerator
  Creates a new random number generator.
BivariateFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a bivariate real function.
BivariateGridInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
  Interface representing a bivariate real interpolating function where the sample points must be specified on a regular grid.
BLOCK_SIZE - Static variable in class org.apache.commons.math3.linear.BlockFieldMatrix
  Block size.
BLOCK_SIZE - Static variable in class org.apache.commons.math3.linear.BlockRealMatrix
  Block size.
blockColumns - Variable in class org.apache.commons.math3.linear.BlockFieldMatrix
  Number of block columns of the matrix.
blockColumns - Variable in class org.apache.commons.math3.linear.BlockRealMatrix
  Number of block columns of the matrix.
BlockFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix.
BlockFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.BlockFieldMatrix
  Create a new matrix with the supplied row and column dimensions.
BlockFieldMatrix(T[][]) - Constructor for class org.apache.commons.math3.linear.BlockFieldMatrix
  Create a new dense matrix copying entries from raw layout data.
BlockFieldMatrix(int, int, T[][], boolean) - Constructor for class org.apache.commons.math3.linear.BlockFieldMatrix
  Create a new dense matrix copying entries from block layout data.
blockHeight(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Get the height of a block.
blockHeight(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Get the height of a block.
blockInverse(RealMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Computes the inverse of the given matrix by splitting it into 4 sub-matrices.
BlockRealMatrix - Class in org.apache.commons.math3.linear
  Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
BlockRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
  Create a new matrix with the supplied row and column dimensions.
BlockRealMatrix(double[][]) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
  Create a new dense matrix copying entries from raw layout data.
BlockRealMatrix(int, int, double[][], boolean) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
  Create a new dense matrix copying entries from block layout data.
blockRows - Variable in class org.apache.commons.math3.linear.BlockFieldMatrix
  Number of block rows of the matrix.
blockRows - Variable in class org.apache.commons.math3.linear.BlockRealMatrix
  Number of block rows of the matrix.
blocks - Variable in class org.apache.commons.math3.linear.BlockFieldMatrix
  Blocks of matrix entries.
blocks - Variable in class org.apache.commons.math3.linear.BlockRealMatrix
  Blocks of matrix entries.
blockWidth(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Get the width of a block.
blockWidth(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Get the width of a block.
bMatrix - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Last n columns of matrix H (where n is the dimension of the problem).
bMatrix - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Last n columns of matrix H (where n is the dimension of the problem).
bobyqa(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  This subroutine seeks the least value of a function of many variables, by applying a trust region method that forms quadratic models by interpolation.
bobyqa(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  This subroutine seeks the least value of a function of many variables, by applying a trust region method that forms quadratic models by interpolation.
BOBYQAOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  Powell's BOBYQA algorithm.
BOBYQAOptimizer(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
BOBYQAOptimizer(int, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
BOBYQAOptimizer - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BOBYQAOptimizer(int) - Constructor for class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
BOBYQAOptimizer(int, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
BOBYQAOptimizer.PathIsExploredException - Exception in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  Marker for code paths that are not explored with the current unit tests.
BOBYQAOptimizer.PathIsExploredException() - Constructor for exception org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer.PathIsExploredException
BOBYQAOptimizer.PathIsExploredException - Exception in org.apache.commons.math3.optimization.direct
  Deprecated.
  Marker for code paths that are not explored with the current unit tests.
BOBYQAOptimizer.PathIsExploredException() - Constructor for exception org.apache.commons.math3.optimization.direct.BOBYQAOptimizer.PathIsExploredException
  Deprecated.
bobyqb(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  The arguments N, NPT, X, XL, XU, RHOBEG, RHOEND, IPRINT and MAXFUN are identical to the corresponding arguments in SUBROUTINE BOBYQA.
bobyqb(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  The arguments N, NPT, X, XL, XU, RHOBEG, RHOEND, IPRINT and MAXFUN are identical to the corresponding arguments in SUBROUTINE BOBYQA.
bottomDiagonal - Variable in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
  Bottom diagonal of the divided differences array.
BoundaryAttribute<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
  Class holding boundary attributes.
BoundaryAttribute(SubHyperplane<S>, SubHyperplane<S>) - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
  Simple constructor.
boundaryFacet(Vector3D, BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Check if a point belongs to the boundary part of a node.
boundarySize - Variable in class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
  Size of the boundary.
BoundarySizeVisitor<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
  Visitor computing the boundary size.
BoundarySizeVisitor() - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
  Simple constructor.
boundDifference - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Differences between the upper and lower bounds.
boundDifference - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Differences between the upper and lower bounds.
bounded - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
  Underlying bounded function.
bounded - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
  Underlying bounded function.
bounded - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
  Deprecated.
  Underlying bounded function.
bounded - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
  Deprecated.
  Underlying bounded function.
boundedToUnbounded(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
  Maps an array from bounded to unbounded.
boundedToUnbounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerBoundMapper
  Maps a value from bounded to unbounded.
boundedToUnbounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
  Maps a value from bounded to unbounded.
boundedToUnbounded(double) - Method in interface org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.Mapper
  Maps a value from bounded to unbounded.
boundedToUnbounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.NoBoundsMapper
  Maps a value from bounded to unbounded.
boundedToUnbounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.UpperBoundMapper
  Maps a value from bounded to unbounded.
boundedToUnbounded(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
  Deprecated.
  Map an array from bounded to unbounded.
boundedToUnbounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerBoundMapper
  Deprecated.
  Map a value from bounded to unbounded.
boundedToUnbounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
  Deprecated.
  Map a value from bounded to unbounded.
boundedToUnbounded(double) - Method in interface org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.Mapper
  Deprecated.
  Map a value from bounded to unbounded.
boundedToUnbounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.NoBoundsMapper
  Deprecated.
  Map a value from bounded to unbounded.
boundedToUnbounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.UpperBoundMapper
  Deprecated.
  Map a value from bounded to unbounded.
boundingFunction - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
  Function from unbounded to bounded.
boundingFunction - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
  Deprecated.
  Function from unbounded to bounded.
boundIsAllowed - Variable in exception org.apache.commons.math3.exception.NumberIsTooLargeException
  Whether the maximum is included in the allowed range.
boundIsAllowed - Variable in exception org.apache.commons.math3.exception.NumberIsTooSmallException
  Whether the maximum is included in the allowed range.
bounds - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
  The step normalizer bounds settings to use.
boxBoundary(double, double, double, double) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Create a list of hyperplanes representing the boundary of a box.
bracket(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  This method attempts to find two values a and b satisfying `lowerBound <= a < initial < b <= upperBound` `f(a) * f(b) < 0` If f is continuous on `[a,b],` this means that `a` and `b` bracket a root of f.
bracket(UnivariateFunction, double, double, double, int) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  This method attempts to find two values a and b satisfying `lowerBound <= a < initial < b <= upperBound` `f(a) * f(b) <= 0` If f is continuous on `[a,b],` this means that `a` and `b` bracket a root of f.
bracket - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer.LineSearch
  Automatic bracketing.
bracket - Variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer.LineSearch
  Deprecated.
  Automatic bracketing.
BracketedUnivariateSolver<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math3.analysis.solvers
  Interface for `(univariate real) root-finding algorithms` that maintain a bracketed solution.
BracketFinder - Class in org.apache.commons.math3.optim.univariate
  Provide an interval that brackets a local optimum of a function.
BracketFinder() - Constructor for class org.apache.commons.math3.optim.univariate.BracketFinder
  Constructor with default values `100, 50` (see the `other constructor`).
BracketFinder(double, int) - Constructor for class org.apache.commons.math3.optim.univariate.BracketFinder
  Create a bracketing interval finder.
BracketFinder - Class in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BracketFinder() - Constructor for class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Constructor with default values `100, 50` (see the `other constructor`).
BracketFinder(double, int) - Constructor for class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Create a bracketing interval finder.
BracketingNthOrderBrentSolver - Class in org.apache.commons.math3.analysis.solvers
  This class implements a modification of the Brent algorithm.
BracketingNthOrderBrentSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Construct a solver with default accuracy and maximal order (1e-6 and 5 respectively)
BracketingNthOrderBrentSolver(double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Construct a solver.
BracketingNthOrderBrentSolver(double, double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Construct a solver.
BracketingNthOrderBrentSolver(double, double, double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Construct a solver.
BracketingNthOrderBrentSolverDFP - Class in org.apache.commons.math3.dfp
  This class implements a modification of the Brent algorithm.
BracketingNthOrderBrentSolverDFP(Dfp, Dfp, Dfp, int) - Constructor for class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Construct a solver.
brent(double, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BrentSolver
  Search for a zero inside the provided interval.
BrentOptimizer - Class in org.apache.commons.math3.optim.univariate
  For a function defined on some interval `(lo, hi)`, this class finds an approximation `x` to the point at which the function attains its minimum.
BrentOptimizer(double, double, ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optim.univariate.BrentOptimizer
  The arguments are used implement the original stopping criterion of Brent's algorithm.
BrentOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.BrentOptimizer
  The arguments are used for implementing the original stopping criterion of Brent's algorithm.
BrentOptimizer - Class in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
BrentOptimizer(double, double, ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optimization.univariate.BrentOptimizer
  Deprecated.
  The arguments are used implement the original stopping criterion of Brent's algorithm.
BrentOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.BrentOptimizer
  Deprecated.
  The arguments are used for implementing the original stopping criterion of Brent's algorithm.
BrentSolver - Class in org.apache.commons.math3.analysis.solvers
  This class implements the Brent algorithm for finding zeros of real univariate functions.
BrentSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
  Construct a solver with default accuracy (1e-6).
BrentSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
  Construct a solver.
BrentSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
  Construct a solver.
BrentSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
  Construct a solver.
brightestIllumination - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
  Illumination received from the brightest sample.
brightestSample - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
  Brightest sample.
brightnessExponent - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
  Exponent used in the power law that computes the weights of the sample data.
brightnessExponent - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
  Exponent used in the power law that computes the weights of the sample data.
BSPTree<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
  This class represent a Binary Space Partition tree.
BSPTree() - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree
  Build a tree having only one root cell representing the whole space.
BSPTree(Object) - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree
  Build a tree having only one root cell representing the whole space.
BSPTree(SubHyperplane<S>, BSPTree<S>, BSPTree<S>, Object) - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree
  Build a BSPTree from its underlying elements.
BSPTree.LeafMerger<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
  This interface gather the merging operations between a BSP tree leaf and another BSP tree.
BSPTreeVisitor<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
  This interface is used to visit `BSP tree` nodes.
BSPTreeVisitor.Order - Enum in org.apache.commons.math3.geometry.partitioning
  Enumerate for visit order with respect to plus sub-tree, minus sub-tree and cut sub-hyperplane.
BSPTreeVisitor.Order() - Constructor for enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
bstep - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of bstep[k-1].
build(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Build an initial simplex.
build(double[]) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Build an initial simplex.
buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Build an array of elements.
buildArray(Field<T>, int) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Build an array of elements.
buildArray(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Build an array of elements.
buildArray(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Build an array of elements.
buildArray(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Build an array of elements.
buildBoundary(double, double, double, double, double, double) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Build a parallellepipedic box boundary.
buildConvex(Hyperplane<S>...) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Build a convex region from a collection of bounding hyperplanes.
buildIntervalSet(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
  Build an interval set from two points.
buildIntervalSet(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Build an interval set from two points.
buildMessage(Locale, String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Builds a message string.
buildNew(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Build a region using the instance as a prototype.
buildNew(Hyperplane<Euclidean1D>, Region<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
  Build a sub-hyperplane from an hyperplane and a region.
buildNew(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Build a region using the instance as a prototype.
buildNew(Hyperplane<Euclidean3D>, Region<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
  Build a sub-hyperplane from an hyperplane and a region.
buildNew(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Build a region using the instance as a prototype.
buildNew(Hyperplane<Euclidean2D>, Region<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Build a sub-hyperplane from an hyperplane and a region.
buildNew(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Build a region using the instance as a prototype.
buildNew(Hyperplane<S>, Region<T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Build a sub-hyperplane from an hyperplane and a region.
buildNew(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Build a region using the instance as a prototype.
buildP(int) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
  Build the P matrix.
buildPolynomial(int, List<BigFraction>, PolynomialsUtils.RecurrenceCoefficientsGenerator) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Get the coefficients array for a given degree.
buildSinCosTables(double[], double[], double[], double[], int, double[], double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
  Build the sine and cosine tables.
buildTree(double, double) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Build an inside/outside tree representing a single interval.
byteValue() - Method in class org.apache.commons.math3.util.Decimal64
  The current implementation performs casting to a `byte`.

## C

c - Variable in class org.apache.commons.math3.analysis.function.Constant
  Constant.
c - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Centers of the Newton polynomial.
c - Variable in class org.apache.commons.math3.distribution.TriangularDistribution
  Mode of this distribution.
c - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Time steps from Butcher array (without the first zero).
c - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
  Time steps from Butcher array (without the first zero).
C - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Covariance matrix.
C - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Covariance matrix.
c1 - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
  Update coefficients of the higher order derivatives wrt y'.
c11 - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
C14 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Time step for stage 14 (interpolation only).
C15 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Time step for stage 15 (interpolation only).
C16 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Time step for stage 16 (interpolation only).
c1X - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
c1Y - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
C_LIMIT - Static variable in class org.apache.commons.math3.special.Gamma
  C limit.
CACHE - Static variable in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
  Cache for already computed coefficients.
cachedB - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
  Cached value of B.
cachedD - Variable in class org.apache.commons.math3.linear.EigenDecomposition
  Cached value of D.
cachedH - Variable in class org.apache.commons.math3.linear.HessenbergTransformer
  Cached value of H.
cachedH - Variable in class org.apache.commons.math3.linear.QRDecomposition
  Cached value of H.
cachedL - Variable in class org.apache.commons.math3.linear.CholeskyDecomposition
  Cached value of L.
cachedL - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
  Cached value of L.
cachedL - Variable in class org.apache.commons.math3.linear.LUDecomposition
  Cached value of L.
cachedLT - Variable in class org.apache.commons.math3.linear.CholeskyDecomposition
  Cached value of LT.
cachedNormalDeviate - Variable in class org.apache.commons.math3.random.AbstractRandomGenerator
  Cached random normal value.
cachedOriginal - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
  Cached original hyperplane.
cachedOriginal - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
  Cached original hyperplane.
cachedP - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
  Cached value of P.
cachedP - Variable in class org.apache.commons.math3.linear.HessenbergTransformer
  Cached value of P.
cachedP - Variable in class org.apache.commons.math3.linear.LUDecomposition
  Cached value of P.
cachedP - Variable in class org.apache.commons.math3.linear.SchurTransformer
  Cached value of P.
cachedPivots - Variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Cached pivots.
cachedPt - Variable in class org.apache.commons.math3.linear.HessenbergTransformer
  Cached value of Pt.
cachedPt - Variable in class org.apache.commons.math3.linear.SchurTransformer
  Cached value of PT.
cachedQ - Variable in class org.apache.commons.math3.linear.QRDecomposition
  Cached value of Q.
cachedQ - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
  Cached value of Q.
cachedQT - Variable in class org.apache.commons.math3.linear.QRDecomposition
  Cached value of QT.
cachedQt - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
  Cached value of Qt.
cachedR - Variable in class org.apache.commons.math3.linear.QRDecomposition
  Cached value of R.
cachedS - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
  Cached value of S (diagonal) matrix.
cachedT - Variable in class org.apache.commons.math3.linear.SchurTransformer
  Cached value of T.
cachedT - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
  Cached value of T.
cachedTransform - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
  Cached 2D transform valid inside the cached original hyperplane.
cachedTransform - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
  Cached 2D transform valid inside the cached original hyperplane.
cachedU - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
  Cached value of U.
cachedU - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
  Cached value of U.
cachedU - Variable in class org.apache.commons.math3.linear.LUDecomposition
  Cached value of U.
cachedU - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
  Cached value of U matrix.
cachedUt - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
  Cached value of transposed U matrix.
cachedV - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
  Cached value of V.
cachedV - Variable in class org.apache.commons.math3.linear.EigenDecomposition
  Cached value of V.
cachedV - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
  Cached value of V matrix.
cachedVt - Variable in class org.apache.commons.math3.linear.EigenDecomposition
  Cached value of Vt.
cachedVt - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
  Cached value of transposed V matrix.
calculateAbsoluteDifferences(double[]) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
  Calculates |z[i]| for all i
calculateAdjustedRSquared() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Returns the adjusted R-squared statistic, defined by the formula
calculateAsymptoticPValue(double, int, int) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
calculateAsymptoticPValue(double, int) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
calculateBeta() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Calculates the beta of multiple linear regression in matrix notation.
calculateBeta() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
  Calculates beta by GLS.
calculateBeta() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Calculates the regression coefficients using OLS.
calculateBetaVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Calculates the beta variance of multiple linear regression in matrix notation.
calculateBetaVariance() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
  Calculates the variance on the beta.
calculateBetaVariance() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Calculates the variance-covariance matrix of the regression parameters.
calculateDifferences(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
  Calculates y[i] - x[i] for all i
calculateErrorVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Calculates the variance of the error term.
calculateErrorVariance() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
  Calculates the estimated variance of the error term using the formula
calculateExactPValue(double, int) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
  Algorithm inspired by http://www.fon.hum.uva.nl/Service/Statistics/Signed_Rank_Algorihms.html#C by Rob van Son, Institute of Phonetic Sciences & IFOTT, University of Amsterdam
calculateHat() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Compute the "hat" matrix.
calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  used by `WeibullDistribution.getNumericalMean()`
calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Used by `ZipfDistribution.getNumericalMean()`.
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.FDistribution
  used by `FDistribution.getNumericalVariance()`
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Used by `HypergeometricDistribution.getNumericalVariance()`.
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  used by `WeibullDistribution.getNumericalVariance()`
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Used by `ZipfDistribution.getNumericalVariance()`.
calculateResiduals() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Calculates the residuals of multiple linear regression in matrix notation.
calculateResidualSumOfSquares() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Returns the sum of squared residuals.
calculateRSquared() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Returns the R-Squared statistic, defined by the formula
calculateTotalSumOfSquares() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Returns the sum of squared deviations of Y from its mean.
calculateYVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Calculates the variance of the y values.
caller(int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
caller(int) - Static method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
canIncrement() - Method in class org.apache.commons.math3.util.Incrementor
  Checks whether a single increment is allowed.
CardanEulerSingularityException - Exception in org.apache.commons.math3.geometry.euclidean.threed
  This class represents exceptions thrown while extractiong Cardan or Euler angles from a rotation.
CardanEulerSingularityException(boolean) - Constructor for exception org.apache.commons.math3.geometry.euclidean.threed.CardanEulerSingularityException
  Simple constructor.
CauchyDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the Cauchy distribution.
CauchyDistribution() - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
  Creates a Cauchy distribution with the median equal to zero and scale equal to one.
CauchyDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
  Creates a Cauchy distribution using the given median and scale.
CauchyDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
  Creates a Cauchy distribution using the given median and scale.
CauchyDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
  Creates a Cauchy distribution.
cbrt() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Cubic root.
Cbrt - Class in org.apache.commons.math3.analysis.function
  Cube root function.
Cbrt() - Constructor for class org.apache.commons.math3.analysis.function.Cbrt
cbrt(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the cubic root of a number.
CBRT_MACH_PREC - Static variable in class org.apache.commons.math3.linear.SymmLQ.State
  The cubic root of `SymmLQ.State.MACH_PREC`.
CBRTTWO - Static variable in class org.apache.commons.math3.util.FastMath
  Table of 2^((n+2)/3)
cc - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Cumulation constant.
cc - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Cumulation constant.
ccov1 - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Learning rate for rank-one update.
ccov1 - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Learning rate for rank-one update.
ccov1Sep - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Learning rate for rank-one update - diagonalOnly
ccov1Sep - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Learning rate for rank-one update - diagonalOnly
ccovmu - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Learning rate for rank-mu update'
ccovmu - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Learning rate for rank-mu update'
ccovmuSep - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Learning rate for rank-mu update - diagonalOnly
ccovmuSep - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Learning rate for rank-mu update - diagonalOnly
cdf(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
  Calculates `P(D_n < d)` using method described in [1] with quick decisions for extreme values given in [2] (see above).
cdf(double, boolean) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
  Calculates `P(D_n < d)` using method described in [1] with quick decisions for extreme values given in [2] (see above).
cdfExact(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
  Calculates `P(D_n < d)` using method described in [1] with quick decisions for extreme values given in [2] (see above).
cdiv(double, double, double, double) - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Performs a division of two complex numbers.
ceil() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the smallest whole number larger than instance.
Ceil - Class in org.apache.commons.math3.analysis.function
  `ceil` function.
Ceil() - Constructor for class org.apache.commons.math3.analysis.function.Ceil
ceil() - Method in class org.apache.commons.math3.dfp.Dfp
  Round to an integer using the round ceil mode.
ceil(double) - Static method in class org.apache.commons.math3.util.FastMath
  Get the smallest whole number larger than x.
center - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
  Center point of the rotation.
center - Variable in class org.apache.commons.math3.stat.clustering.Cluster
  Center of the cluster.
centroidOf(Collection<T>) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable
  Returns the centroid of the given Collection of points.
centroidOf(Collection<EuclideanDoublePoint>) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
  Returns the centroid of the given Collection of points.
centroidOf(Collection<EuclideanIntegerPoint>) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
  Returns the centroid of the given Collection of points.
cgnorm - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The estimate of the norm of P * rC[k].
changeIndexSign(int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Change the index sign
changeIndexSign(int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Change the index sign
characterize(BSPTree<S>, SubHyperplane<S>, SubHyperplane<S>[]) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.BoundaryBuilder
  Filter the parts of an hyperplane belonging to the boundary.
CHEBYSHEV_COEFFICIENTS - Static variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Coefficients for Chebyshev polynomials.
check - Variable in class org.apache.commons.math3.linear.ConjugateGradient
  `true` if positive-definiteness of matrix and preconditioner should be checked.
check - Variable in class org.apache.commons.math3.linear.SymmLQ
  `true` if symmetry of matrix and conditioner must be checked.
check - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  `true` if symmetry of matrix and conditioner must be checked.
checkAdditionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Check if a matrix is addition compatible with the instance.
checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if matrices are addition compatible.
checkAllFiniteReal(double[]) - Static method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Check that all elements of an array are finite real numbers.
checkArray(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Checks to make sure that the input long[][] array is rectangular, has at least 2 rows and 2 columns, and has all non-negative entries.
checkBinomial(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Check binomial preconditions.
checkColumnIndex(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Check if a column index is valid.
checkColumnIndex(AnyMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if a column index is valid.
checkCompatibility(DSCompiler) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Check rules set compatibility.
checkContractExpand(float, float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.checkContractExpand(double,double)` instead.
checkContractExpand(double, double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Checks the expansion factor and the contraction criterion and raises an exception if the contraction criterion is smaller than the expansion criterion.
checkDimension(int, Object) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Check array dimensions.
checkDimension(int) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Throws DimensionMismatchException if dimension != k.
checkedCumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  Computes the cumulative probability function and checks for `NaN` values returned.
checkEmpty() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Throws MathIllegalStateException if n > 0.
checkEmpty() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Throws MathIllegalStateException if the statistic is not empty.
checkEmpty() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Throws IllegalStateException if n > 0.
checker - Variable in class org.apache.commons.math3.optim.BaseOptimizer
  Convergence checker.
checker - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Convergence checker.
checker - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Convergence checker.
checker - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Convergence checker.
checkFeasableCount - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Determines how often a new random offspring is generated in case it is not feasible / beyond the defined limits, default is 0.
checkFeasableCount - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Determines how often a new random offspring is generated in case it is not feasible / beyond the defined limits, default is 0.
checkFinite(double) - Static method in class org.apache.commons.math3.util.MathUtils
  Check that the argument is a real number.
checkFinite(double[]) - Static method in class org.apache.commons.math3.util.MathUtils
  Check that all the elements are real numbers.
checkIndex(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Check if an index is valid.
checkIndex(int) - Method in class org.apache.commons.math3.linear.RealVector
  Check if an index is valid.
checkIndex(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Check whether an index is valid.
checkIndices(int, int) - Method in class org.apache.commons.math3.linear.RealVector
  Checks that the indices of a subvector are valid.
checkInterpolation() - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
  Check interpolation can be performed.
checkLen(int, int) - Static method in class org.apache.commons.math3.util.FastMathCalc
  Check two lengths are equal.
checkMatrixIndex(AnyMatrix, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if matrix indices are valid.
checkMultiplicationCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Check if a matrix is multiplication compatible with the instance.
checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if matrices are multiplication compatible
checkNonNegative(long[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Check that all entries of the input array are >= 0.
checkNonNegative(long[][]) - Static method in class org.apache.commons.math3.util.MathArrays
  Check all entries of the input array are >= 0.
checkNotNull(Object, Localizable, Object...) - Static method in class org.apache.commons.math3.util.MathUtils
  Checks that an object is not null.
checkNotNull(Object) - Static method in class org.apache.commons.math3.util.MathUtils
  Checks that an object is not null.
checkOrder(double[], MathArrays.OrderDirection, boolean, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
  Check that the given array is sorted.
checkOrder(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
  Check that the given array is sorted.
checkOrder(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Check that the given array is sorted in strictly increasing order.
checkParameters(RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.IterativeLinearSolver
  Performs all dimension checks on the parameters of `solve` and `solveInPlace`, and throws an exception if one of the checks fails.
checkParameters(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Performs all dimension checks on the parameters of `solve` and `solveInPlace`, and throws an exception if one of the checks fails.
checkParameters() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
  Check parameters consistency.
checkParameters() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Checks dimensions and values of boundaries and inputSigma if defined.
checkParameters() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Check parameters consistency.
checkParameters() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Check parameters consistency.
checkParameters() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Check parameters consistency.
checkParameters() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Checks dimensions and values of boundaries and inputSigma if defined.
checkPoint(double, double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Check a point with respect to the interval.
checkPoint(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Check a point with respect to the region.
checkPoint(BSPTree<S>, Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Check a point with respect to the region starting at a given node.
checkPoint(Vector<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Check a point with respect to the region.
checkPositive(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Check that all entries of the input array are strictly positive.
checkRectangular(long[][]) - Static method in class org.apache.commons.math3.util.MathArrays
  Throws DimensionMismatchException if the input array is not rectangular.
checkRowIndex(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Check if a row index is valid.
checkRowIndex(AnyMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if a row index is valid.
checkSampleData(double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Check sample data.
checkSampleData(StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
  Check sample data.
checkSignificanceLevel(double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Check significance level.
checkSubMatrixIndex(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Check if submatrix ranges indices are valid.
checkSubMatrixIndex(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int, int, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if submatrix ranges indices are valid.
checkSubtractionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Check if a matrix is subtraction compatible with the instance.
checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Check if matrices are subtraction compatible
checkSufficientData(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Throws MathIllegalArgumentException if the matrix does not have at least two columns and two rows.
checkSufficientData(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Throws IllegalArgumentException of the matrix does not have at least two columns and two rows
checkSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Checks whether a matrix is symmetric.
checkSymmetry(RealLinearOperator, RealVector, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.SymmLQ.State
  Performs a symmetry check on the specified linear operator, and throws an exception in case this check fails.
checkValidity(List<T>) - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
  Asserts that `representation` can represent a valid chromosome.
checkValidity(List<Integer>) - Method in class org.apache.commons.math3.genetics.BinaryChromosome
  Asserts that `representation` can represent a valid chromosome.
checkValidity(List<Double>) - Method in class org.apache.commons.math3.genetics.RandomKey
  Asserts that `representation` can represent a valid chromosome.
checkVectorDimensions(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Check if instance dimension is equal to some expected value.
checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Check if instance dimension is equal to some expected value.
checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.RealVector
  Check if instance dimension is equal to some expected value.
checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Check if instance dimension is equal to some expected value.
CHI_SQUARE_TEST - Static variable in class org.apache.commons.math3.stat.inference.TestUtils
  Singleton ChiSquareTest instance.
chiN - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Expectation of ||N(0,I)|| == norm(randn(N,1)).
chiN - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Expectation of ||N(0,I)|| == norm(randn(N,1)).
chiSquare(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Computes the Chi-Square statistic comparing `observed` and `expected` frequency counts.
chiSquare(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Computes the Chi-Square statistic associated with a chi-square test of independence based on the input `counts` array, viewed as a two-way table.
chiSquare(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
chiSquare(long[][]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
chiSquareDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Computes a Chi-Square two sample test statistic comparing bin frequency counts in `observed1` and `observed2`.
chiSquareDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
ChiSquaredDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the chi-squared distribution.
ChiSquaredDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Create a Chi-Squared distribution with the given degrees of freedom.
ChiSquaredDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Create a Chi-Squared distribution with the given degrees of freedom and inverse cumulative probability accuracy.
ChiSquaredDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Create a Chi-Squared distribution with the given degrees of freedom and inverse cumulative probability accuracy.
ChiSquareTest - Class in org.apache.commons.math3.stat.inference
  Implements Chi-Square test statistics.
ChiSquareTest() - Constructor for class org.apache.commons.math3.stat.inference.ChiSquareTest
  Construct a ChiSquareTest
chiSquareTest(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the `observed` frequency counts to those in the `expected` array.
chiSquareTest(double[], long[], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level `alpha`.
chiSquareTest(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Returns the observed significance level, or p-value, associated with a chi-square test of independence based on the input `counts` array, viewed as a two-way table.
chiSquareTest(long[][], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Performs a chi-square test of independence evaluating the null hypothesis that the classifications represented by the counts in the columns of the input 2-way table are independent of the rows, with significance level `alpha`.
chiSquareTest(double[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
chiSquareTest(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
chiSquareTest(long[][], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
chiSquareTest(long[][]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
chiSquareTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Returns the observed significance level, or p-value, associated with a Chi-Square two sample test comparing bin frequency counts in `observed1` and `observed2`.
chiSquareTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
  Performs a Chi-Square two sample test comparing two binned data sets.
chiSquareTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
CholeskyDecomposition - Class in org.apache.commons.math3.linear
  Calculates the Cholesky decomposition of a matrix.
CholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition
  Calculates the Cholesky decomposition of the given matrix.
CholeskyDecomposition(RealMatrix, double, double) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition
  Calculates the Cholesky decomposition of the given matrix.
CholeskyDecomposition.Solver - Class in org.apache.commons.math3.linear
  Specialized solver.
CholeskyDecomposition.Solver(double[][]) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
  Build a solver from decomposed matrix.
chooseInitialCenters(Collection<T>, int, Random) - Static method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Use K-means++ to choose the initial centers.
chopOffMinus(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Chop off parts of the tree.
chopOffPlus(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Chop off parts of the tree.
Chromosome - Class in org.apache.commons.math3.genetics
  Individual in a population.
Chromosome() - Constructor for class org.apache.commons.math3.genetics.Chromosome
ChromosomePair - Class in org.apache.commons.math3.genetics
  A pair of `Chromosome` objects.
ChromosomePair(Chromosome, Chromosome) - Constructor for class org.apache.commons.math3.genetics.ChromosomePair
  Create a chromosome pair.
chromosomes - Variable in class org.apache.commons.math3.genetics.ListPopulation
  List of chromosomes
classes() - Method in class org.apache.commons.math3.util.TransformerMap
  Returns the Set of Classes used as keys in the map.
ClassicalRungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method).
ClassicalRungeKuttaIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator
  Simple constructor.
ClassicalRungeKuttaStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements a step interpolator for the classical fourth order Runge-Kutta integrator.
ClassicalRungeKuttaStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
  Simple constructor.
ClassicalRungeKuttaStepInterpolator(ClassicalRungeKuttaStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
  Copy constructor.
classify() - Method in class org.apache.commons.math3.dfp.Dfp
  Returns the type - one of FINITE, INFINITE, SNAN, QNAN.
clear() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Method that will called in order to clear all stored optima.
clear() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
  Method that will called in order to clear all stored optima.
clear() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
  Method that will called in order to clear all stored optima.
clear() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Clears the cache used by the default implementation of `AbstractRandomGenerator.nextGaussian()`.
clear() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Clears the cache used by the default implementation of `BitsStreamGenerator.nextGaussian`.
clear() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
  Clears the internal state of the Statistic
clear() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.Frequency
  Clears the frequency table
clear() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  As the name suggests, clear wipes the internals and reorders everything in the canonical order.
clear() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Clears all data from the model.
clear() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
  Clears internal buffers and resets the regression model.
clear() - Method in interface org.apache.commons.math3.util.DoubleArray
  Clear the double array
clear() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Clear the array contents, resetting the number of elements to zero.
clear() - Method in class org.apache.commons.math3.util.TransformerMap
  Clears all the Class to Transformer mappings.
clearEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Remove all the event handlers that have been added to the integrator.
clearEventHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Remove all the event handlers that have been added to the integrator.
clearIEEEFlags() - Method in class org.apache.commons.math3.dfp.DfpField
  Clears the IEEE 854 status flags.
clearObservations() - Method in class org.apache.commons.math3.fitting.CurveFitter
  Remove all observations.
clearObservations() - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Remove all observations.
clearStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Remove all the step handlers that have been added to the integrator.
clearStepHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Remove all the step handlers that have been added to the integrator.
clone() - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
  Deprecated.
clone(FastFourierTransformer.MultiDimensionalComplexMatrix) - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
  Deprecated.
  Copy contents of current array into mdcm.
closeReplayFile() - Method in class org.apache.commons.math3.random.ValueServer
  Closes `valuesFileURL` after use in REPLAY_MODE.
closestPoint(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Compute the point of the instance closest to another line.
Cluster<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering
  Cluster holding a set of `Clusterable` points.
Cluster(T) - Constructor for class org.apache.commons.math3.stat.clustering.Cluster
  Build a cluster centered at a specified point.
cluster(Collection<T>) - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
  Performs DBSCAN cluster analysis.
cluster(Collection<T>, int, int, int) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Runs the K-means++ clustering algorithm.
cluster(Collection<T>, int, int) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Runs the K-means++ clustering algorithm.
Clusterable<T> - Interface in org.apache.commons.math3.stat.clustering
  Interface for points that can be clustered together.
CMAESOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  An implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for non-linear, non-convex, non-smooth, global function minimization.
CMAESOptimizer(int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
CMAESOptimizer - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
CMAESOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  As of version 3.1: Parameter `lambda` must be passed with the call to `optimize` (whereas in the current code it is set to an undocumented value).
CMAESOptimizer(int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  As of version 3.1: Parameter `lambda` must be passed with the call to `optimize` (whereas in the current code it is set to an undocumented value)..
CMAESOptimizer(int, double[]) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  As of version 3.1: Parameters `lambda` and `inputSigma` must be passed with the call to `optimize`.
CMAESOptimizer(int, double[], int, double, boolean, int, int, RandomGenerator, boolean) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  See `SimpleValueChecker.SimpleValueChecker()`
CMAESOptimizer(int, double[], int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  As of version 3.1: Parameters `lambda` and `inputSigma` must be passed with the call to `optimize`.
CMAESOptimizer(int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
CMAESOptimizer.DoubleIndex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  Used to sort fitness values.
CMAESOptimizer.DoubleIndex(double, int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
CMAESOptimizer.DoubleIndex - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  Used to sort fitness values.
CMAESOptimizer.DoubleIndex(double, int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
  Deprecated.
CMAESOptimizer.FitnessFunction - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  Normalizes fitness values to the range [0,1].
CMAESOptimizer.FitnessFunction() - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
  Simple constructor.
CMAESOptimizer.FitnessFunction - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  Normalizes fitness values to the range [0,1].
CMAESOptimizer.FitnessFunction() - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
  Deprecated.
  Simple constructor.
CMAESOptimizer.PopulationSize - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  Population size.
CMAESOptimizer.PopulationSize(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.PopulationSize
CMAESOptimizer.PopulationSize - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  Population size.
CMAESOptimizer.PopulationSize(int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize
  Deprecated.
CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  Input sigma values.
CMAESOptimizer.Sigma(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  Input sigma values.
CMAESOptimizer.Sigma(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
  Deprecated.
coeff - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  extrapolation coefficients.
coefficients - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  The coefficients of the polynomial, ordered by degree -- i.e., coefficients[0] is the constant term and coefficients[n] is the coefficient of x^n where n is the degree of the polynomial.
coefficients - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  The coefficients of the polynomial, ordered by degree -- i.e.
coefficients - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  The coefficients of the polynomial, ordered by degree -- i.e.
coefficients - Variable in class org.apache.commons.math3.optim.linear.LinearConstraint
  Coefficients of the constraint (left hand side).
coefficients - Variable in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
  Coefficients of the linear equation (ci).
coefficients - Variable in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Coefficients of the constraint (left hand side).
coefficients - Variable in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
  Coefficients of the constraint (ci).
coefficientsComputed - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Whether the polynomial coefficients are available.
coefficientsComputed - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Whether the polynomial coefficients are available.
collector(BivariateFunction, UnivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Returns a MultivariateFunction h(x[]) defined by
collector(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Returns a MultivariateFunction h(x[]) defined by
cols - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1.
column - Variable in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
  Column.
columnLabels - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
  The variables each column represents
columnLabels - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  The variables each column represents
columns - Variable in class org.apache.commons.math3.linear.BlockFieldMatrix
  Number of columns of the matrix.
columns - Variable in class org.apache.commons.math3.linear.BlockRealMatrix
  Number of columns of the matrix.
columns - Variable in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Number of columns of the matrix.
columns - Variable in class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Column dimension.
columnSeparator - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
  Column separator.
combine(BivariateFunction, UnivariateFunction, UnivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Returns the univariate function
  `h(x) = combiner(f(x), g(x))`.
combine(double, double, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Returns a new vector representing `a * this + b * y`, the linear combination of `this` and `y`.
combine(double, double, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Returns a new vector representing `a * this + b * y`, the linear combination of `this` and `y`.
combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Updates `this` with the linear combination of `this` and `y`.
combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Updates `this` with the linear combination of `this` and `y`.
comparatorPermutation(List<S>, Comparator<S>) - Static method in class org.apache.commons.math3.genetics.RandomKey
  Generates a representation of a permutation corresponding to the `data` sorted by `comparator`.
compare(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.Dfp
  Compare two instances.
compare(Comparable<T>, Comparable<T>) - Method in class org.apache.commons.math3.stat.Frequency.NaturalComparator
  Compare the two `Comparable` arguments.
compareTo(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
  Compares this object to another based on size.
compareTo(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
  Compares this object to another based on size.
compareTo(Chromosome) - Method in class org.apache.commons.math3.genetics.Chromosome
  Compares two chromosomes based on their fitness.
compareTo(PolygonsSet.ComparableSegment) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ComparableSegment
compareTo(OrderedTuple) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Compares this ordered T-uple with the specified object.
compareTo(CMAESOptimizer.DoubleIndex) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
compareTo(CMAESOptimizer.DoubleIndex) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
  Deprecated.
compareTo(NaturalRanking.IntDoublePair) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
  Compare this IntDoublePair to another pair.
compareTo(BigReal) - Method in class org.apache.commons.math3.util.BigReal
compareTo(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  The current implementation returns the same value as `new Double(this.doubleValue()).compareTo(new Double(o.doubleValue()))`
compareTo(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
  Compares two numbers given some amount of allowed error.
compareTo(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
  Compares two numbers given some amount of allowed error.
compileCompositionIndirection(int, int, DSCompiler, DSCompiler, int[][], int[][]) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compile the function composition indirection array.
compileDerivativesIndirection(int, int, DSCompiler, DSCompiler) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compile the derivatives indirection array.
compileLowerIndirection(int, int, DSCompiler, DSCompiler) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compile the lower derivatives indirection array.
compileMultiplicationIndirection(int, int, DSCompiler, DSCompiler, int[]) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compile the multiplication indirection array.
compiler - Variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compiler for the current dimensions.
compilers - Static variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Array of all compilers created so far.
compileSizes(int, int, DSCompiler) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compile the sizes array.
compIndirection - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Indirection arrays for function composition.
complainIfNotSupported(String) - Method in class org.apache.commons.math3.ode.AbstractParameterizable
  Check if a parameter is supported and throw an IllegalArgumentException if not.
complement(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Negate the mantissa of this by computing the complement.
Complex - Class in org.apache.commons.math3.complex
  Representation of a Complex number, i.e.
Complex(double) - Constructor for class org.apache.commons.math3.complex.Complex
  Create a complex number given only the real part.
Complex(double, double) - Constructor for class org.apache.commons.math3.complex.Complex
  Create a complex number given the real and imaginary parts.
ComplexField - Class in org.apache.commons.math3.complex
  Representation of the complex numbers field.
ComplexField() - Constructor for class org.apache.commons.math3.complex.ComplexField
  Private constructor for the singleton.
ComplexField.LazyHolder - Class in org.apache.commons.math3.complex
  Holder for the instance.
ComplexField.LazyHolder() - Constructor for class org.apache.commons.math3.complex.ComplexField.LazyHolder
ComplexFormat - Class in org.apache.commons.math3.complex
  Formats a Complex number in cartesian format "Re(c) + Im(c)i".
ComplexFormat() - Constructor for class org.apache.commons.math3.complex.ComplexFormat
  Create an instance with the default imaginary character, 'i', and the default number format for both real and imaginary parts.
ComplexFormat(NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
  Create an instance with a custom number format for both real and imaginary parts.
ComplexFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
  Create an instance with a custom number format for the real part and a custom number format for the imaginary part.
ComplexFormat(String) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
  Create an instance with a custom imaginary character, and the default number format for both real and imaginary parts.
ComplexFormat(String, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
  Create an instance with a custom imaginary character, and a custom number format for both real and imaginary parts.
ComplexFormat(String, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
  Create an instance with a custom imaginary character, a custom number format for the real part, and a custom number format for the imaginary part.
complexSolver - Variable in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Complex solver.
ComplexUtils - Class in org.apache.commons.math3.complex
  Static implementations of common `Complex` utilities functions.
ComplexUtils() - Constructor for class org.apache.commons.math3.complex.ComplexUtils
  Default constructor.
components - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Double components of the T-uple.
components - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Components of the expandable ODE.
compose(double...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute composition of the instance by a univariate function.
compose(double[], int, double[], double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute composition of a derivative structure by a function.
compose(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Composes functions.
compose(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Composes functions.
compose(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  as of 3.1 replaced by `FunctionUtils.compose(UnivariateDifferentiableFunction...)`
CompositeFormat - Class in org.apache.commons.math3.util
  Base class for formatters of composite objects (complex numbers, vectors ...).
CompositeFormat() - Constructor for class org.apache.commons.math3.util.CompositeFormat
  Class contains only static methods.
compute(MathArrays.Function) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Performs an operation on the addressable elements of the array.
computeBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.ArrayDataAdapter
  Compute bin stats.
computeBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.DataAdapter
  Compute bin stats.
computeBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.StreamDataAdapter
  Compute bin stats.
computeCapacity(int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Compute the capacity needed for a given size.
computeCapacity(int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Compute the capacity needed for a given size.
computeCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Calculate the coefficients of Lagrange polynomial from the interpolation data.
computeCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Calculate the normal polynomial coefficients given the Newton form.
computeCoefficients(int, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  Compute the interpolation coefficients for dense output.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Computes the correlation matrix for the columns of the input matrix.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Computes the correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Computes the Spearman's rank correlation matrix for the columns of the input matrix.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Computes the Spearman's rank correlation matrix for the columns of the input rectangular array.
computeCost(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Computes the cost.
computeCost(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Computes the cost.
computeCovarianceMatrix(RealMatrix, boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Compute a covariance matrix from a matrix whose columns represent covariates.
computeCovarianceMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Create a covariance matrix from a matrix whose columns represent covariates.
computeCovarianceMatrix(double[][], boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Compute a covariance matrix from a rectangular array whose columns represent covariates.
computeCovarianceMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Create a covariance matrix from a rectangular array whose columns represent covariates.
computeCovariances(double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Get the covariance matrix of the optimized parameters.
computeCovariances(double[], double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Get the covariance matrix of the optimized parameters.
computeDerivativeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
  Deprecated.
  Compute the objective function value.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Compute the derivatives and check the number of evaluations.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get the current time derivative of the complete state vector.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.FirstOrderConverter
  Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[]) - Method in interface org.apache.commons.math3.ode.FirstOrderDifferentialEquations
  Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices.JacobiansSecondaryEquations
  Compute the derivatives related to the secondary state parameters.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
  Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.MultistepIntegrator.CountingDifferentialEquations
  Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
  Get the current time derivative of the state vector of the underlying FODE.
computeDerivatives(double, double[], double[], double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondaryEquations
  Compute the derivatives related to the secondary state parameters.
computeDistribution() - Method in class org.apache.commons.math3.random.ValueServer
  Computes the empirical distribution using values from the file in `valuesFileURL`, using the default number of bins.
computeDistribution(int) - Method in class org.apache.commons.math3.random.ValueServer
  Computes the empirical distribution using values from the file in `valuesFileURL` and `binCount` bins.
computeDividedDifference(double[], double[]) - Static method in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
  Return a copy of the divided difference array.
computeExp(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
  Compute exp(a).
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Compute some geometrical properties.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
  Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.EulerStepInterpolator
  Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
  Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54StepInterpolator
  Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.MidpointStepInterpolator
  Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesStepInterpolator
  Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Compute the state and derivatives at the interpolated time.
computeJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
  Computes the Jacobian matrix.
computeKey(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Compute the key to access a matrix element
computeKey(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Compute the key to access a matrix element.
computeLn(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
  Compute ln(a).
computeLSB(long) - Static method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Compute the least significant bit of a long.
computeMainStateJacobian(double, double[], double[], double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
  Compute the jacobian matrix of ODE with respect to main state.
computeMainStateJacobian(double, double[], double[], double[][]) - Method in interface org.apache.commons.math3.ode.MainStateJacobianProvider
  Compute the jacobian matrix of ODE with respect to main state.
computeMSB(long) - Static method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Compute the most significant bit of a long.
computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
  Compute the gradient vector.
computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
  Deprecated.
  Compute the gradient vector.
computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
  Deprecated.
  Compute the gradient vector.
computeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Compute the objective function value.
computeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Compute the objective function value.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
  Computes the objective function value.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Computes the objective function value.
computeObjectiveValue(double) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
  Computes the objective function value.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Compute the objective function value.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Compute the objective function value.
computeObjectiveValue(double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Compute the objective function value.
computeObjectiveValueAndDerivative(double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
  Compute the objective function value.
computeParameterJacobian(double, double[], double[], String, double[]) - Method in interface org.apache.commons.math3.ode.ParameterJacobianProvider
  Compute the Jacobian matrix of ODE with respect to one parameter.
computeParameterJacobian(double, double[], double[], String, double[]) - Method in class org.apache.commons.math3.ode.ParameterJacobianWrapper
  Compute the Jacobian matrix of ODE with respect to one parameter.
computePartialDerivatives() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
  Compute all partial derivatives functions.
computePartialDerivatives() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
  Compute all partial derivatives.
computePi(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
  Compute π using Jonathan and Peter Borwein quartic formula.
computeResiduals(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Computes the residuals.
computeResiduals(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Computes the residuals.
computeRoots(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
  Computes the `n`-th roots of unity.
computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
  Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
  Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.LegendreRuleFactory
  Computes the rule for the given order.
computeSecondDerivatives(double, double[], double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondOrderDifferentialEquations
  Get the current time derivative of the state vector.
computeShift(int, int, int, SchurTransformer.ShiftInfo) - Method in class org.apache.commons.math3.linear.SchurTransformer
  Compute the shift for the current iteration.
computeSigma(double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Computes an estimate of the standard deviation of the parameters.
computeSigma(double[], double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Computes an estimate of the standard deviation of the parameters.
computeSplineCoefficients(double[]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
  Compute the spline coefficients from the list of function values and function partial derivatives values at the four corners of a grid element.
computeSplineCoefficients(double[]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
  Compute the spline coefficients from the list of function values and function partial derivatives values at the four corners of a grid element.
computeStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.ArrayDataAdapter
  Compute sample statistics.
computeStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.DataAdapter
  Compute sample statistics.
computeStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.StreamDataAdapter
  Compute sample statistics.
computeStepGrowShrinkFactor(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Compute step grow/shrink factor according to normalized error.
computeStringConstants(int) - Static method in class org.apache.commons.math3.dfp.DfpField
  Recompute the high precision string constants.
computeUpToDegree(int, int, PolynomialsUtils.RecurrenceCoefficientsGenerator, List<BigFraction>) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Compute polynomial coefficients up to a given degree.
computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Computes the weighted Jacobian matrix.
computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Computes the Jacobian matrix.
concatenateSamples(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
  Concatenate the samples into one array.
condense() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Perform condensation on a tree.
conjugate() - Method in class org.apache.commons.math3.complex.Complex
  Return the conjugate of this complex number.
ConjugateGradient - Class in org.apache.commons.math3.linear
  This is an implementation of the conjugate gradient method for `RealLinearOperator`.
ConjugateGradient(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient
  Creates a new instance of this class, with default stopping criterion.
ConjugateGradient(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient
  Creates a new instance of this class, with default stopping criterion and custom iteration manager.
ConjugateGradientFormula - Enum in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
ConjugateGradientFormula() - Constructor for enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
  Deprecated.
Constant - Class in org.apache.commons.math3.analysis.function
  Constant function.
Constant(double) - Constructor for class org.apache.commons.math3.analysis.function.Constant
CONSTANT_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
  Always return mu
constantTerm - Variable in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
  Constant term of the linear equation.
constantTerm - Variable in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
  Constant term of the linear equation.
constraints - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
  Linear constraints.
constraints - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Linear constraints.
contains(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Check if the instance contains a point.
contains(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Check if the instance contains a point.
contains(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Check if the line contains a point.
contains(Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Check if the instance entirely contains another region.
contains(Region<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Check if the instance entirely contains another region.
containsClass(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
  Tests if a Class is present in the TransformerMap.
containsConstant - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
  boolean flag indicator of whether a constant was included
containsKey(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Check if a value is associated with a key.
containsKey(int, int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Check if the tables contain an element associated with specified key at specified index.
containsKey(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Check if a value is associated with a key.
containsKey(int, int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Check if the tables contain an element associated with specified key at specified index.
containsNaNs(NaturalRanking.IntDoublePair[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
  Checks for presence of NaNs in `ranks.`
containsTransformer(NumberTransformer) - Method in class org.apache.commons.math3.util.TransformerMap
  Tests if a NumberTransformer is present in the TransformerMap.
context - Variable in exception org.apache.commons.math3.exception.MathArithmeticException
  Context.
context - Variable in exception org.apache.commons.math3.exception.MathIllegalArgumentException
  Context.
context - Variable in exception org.apache.commons.math3.exception.MathIllegalStateException
  Context.
context - Variable in exception org.apache.commons.math3.exception.MathRuntimeException
  Context.
context - Variable in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
  Context.
context - Variable in class org.apache.commons.math3.exception.util.ExceptionContext
  Arbitrary context information.
ContinuedFraction - Class in org.apache.commons.math3.util
  Provides a generic means to evaluate continued fractions.
ContinuedFraction() - Constructor for class org.apache.commons.math3.util.ContinuedFraction
  Default constructor.
ContinuousOutputModel - Class in org.apache.commons.math3.ode
  This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this.
ContinuousOutputModel() - Constructor for class org.apache.commons.math3.ode.ContinuousOutputModel
  Simple constructor.
contract() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Contracts the storage array to the (size of the element set) + 1 - to avoid a zero length array.
contractionCriterion - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
  The contraction criteria determines when the internal array will be contracted to fit the number of elements contained in the element array + 1.
controlMatrix - Variable in class org.apache.commons.math3.filter.DefaultProcessModel
  The control matrix, used to integrate a control input into the state estimation.
controlMatrix - Variable in class org.apache.commons.math3.filter.KalmanFilter
  The control matrix, equivalent to B.
converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
  Check if the optimization algorithm has converged.
converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math3.optim.ConvergenceChecker
  Check if the optimization algorithm has converged.
converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optim.SimplePointChecker
  Check if the optimization algorithm has converged considering the last two points.
converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math3.optim.SimpleValueChecker
  Check if the optimization algorithm has converged considering the last two points.
converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.apache.commons.math3.optim.SimpleVectorValueChecker
  Check if the optimization algorithm has converged considering the last two points.
converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
  Check if the optimization algorithm has converged considering the last two points.
converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
  Deprecated.
  Check if the optimization algorithm has converged.
converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math3.optimization.ConvergenceChecker
  Deprecated.
  Check if the optimization algorithm has converged.
converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optimization.SimplePointChecker
  Deprecated.
  Check if the optimization algorithm has converged considering the last two points.
converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math3.optimization.SimpleValueChecker
  Deprecated.
  Check if the optimization algorithm has converged considering the last two points.
converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.apache.commons.math3.optimization.SimpleVectorValueChecker
  Deprecated.
  Check if the optimization algorithm has converged considering the last two points.
converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
  Deprecated.
  Check if the optimization algorithm has converged considering the last two points.
convergence - Variable in class org.apache.commons.math3.ode.events.EventState
  Convergence threshold for event localization.
ConvergenceChecker<PAIR> - Interface in org.apache.commons.math3.optim
  This interface specifies how to check if an optimization algorithm has converged.
ConvergenceChecker<PAIR> - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
ConvergenceException - Exception in org.apache.commons.math3.exception
  Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value.
ConvergenceException() - Constructor for exception org.apache.commons.math3.exception.ConvergenceException
  Construct the exception.
ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.ConvergenceException
  Construct the exception with a specific context and arguments.
convertIndex(int, int, int[][], int, int, int[][]) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Convert an index from one (parameters, order) structure to another.
convertToComplex(double[]) - Static method in class org.apache.commons.math3.complex.ComplexUtils
  Convert an array of primitive doubles to an array of `Complex` objects.
convertToDouble(Pair<T[], T[]>) - Static method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
  Converts the from the actual `Number` type to `double`
copy() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Returns a (deep) copy of this vector.
copy() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Make a (deep) copy of this.
copy() - Method in interface org.apache.commons.math3.linear.FieldVector
  Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Returns a (deep) copy of this vector.
copy() - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.RealVector
  Returns a (deep) copy of this vector.
copy() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Copy the instance.
copy() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Copy the instance.
copy() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns a copy of this DescriptiveStatistics instance with the same internal state.
copy(DescriptiveStatistics, DescriptiveStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
  Returns a copy of the statistic with the same internal state.
copy(FirstMoment, FirstMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
  Returns a copy of the statistic with the same internal state.
copy(FourthMoment, FourthMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Returns a copy of the statistic with the same internal state.
copy(GeometricMean, GeometricMean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Returns a copy of the statistic with the same internal state.
copy(Kurtosis, Kurtosis) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Returns a copy of the statistic with the same internal state.
copy(Mean, Mean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  Returns a copy of the statistic with the same internal state.
copy(SecondMoment, SecondMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Returns a copy of the statistic with the same internal state.
copy(SemiVariance, SemiVariance) - Static method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Returns a copy of the statistic with the same internal state.
copy(Skewness, Skewness) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Returns a copy of the statistic with the same internal state.
copy(StandardDeviation, StandardDeviation) - Static method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
  Returns a copy of the statistic with the same internal state.
copy(ThirdMoment, ThirdMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns a copy of the statistic with the same internal state.
copy(Variance, Variance) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
  Returns a copy of the statistic with the same internal state.
copy(Max, Max) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Max
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
  Returns a copy of the statistic with the same internal state.
copy(Min, Min) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Min
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Returns a copy of the statistic with the same internal state.
copy(Percentile, Percentile) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Copies source to dest.
copy() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
  Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Returns a copy of the statistic with the same internal state.
copy(Product, Product) - Static method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  Returns a copy of the statistic with the same internal state.
copy(Sum, Sum) - Static method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Returns a copy of the statistic with the same internal state.
copy(SumOfLogs, SumOfLogs) - Static method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Returns a copy of the statistic with the same internal state.
copy(SumOfSquares, SumOfSquares) - Static method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns a copy of this SummaryStatistics instance with the same internal state.
copy(SummaryStatistics, SummaryStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Returns a copy of this SynchronizedDescriptiveStatistics instance with the same internal state.
copy(SynchronizedDescriptiveStatistics, SynchronizedDescriptiveStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns a copy of this SynchronizedSummaryStatistics instance with the same internal state.
copy(SynchronizedSummaryStatistics, SynchronizedSummaryStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Copies source to dest.
copy() - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
  Returns a copy of the statistic with the same internal state.
copy(ResizableDoubleArray, ResizableDoubleArray) - Static method in class org.apache.commons.math3.util.ResizableDoubleArray
  Copies source to dest, copying the underlying data, so dest is a new, independent copy of source.
copy() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Returns a copy of the ResizableDoubleArray.
copyArray(double[], double[]) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
copyArray(double[], double[]) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
copyBlockPart(T[], int, int, int, int, int, T[], int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Copy a part of a block into another one
copyBlockPart(double[], int, int, int, int, int, double[], int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Copy a part of a block into another one
copyColumn(RealMatrix, int, RealMatrix, int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Copies a column from m1 to m2.
copyColumn(RealMatrix, int, RealMatrix, int) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Copies a column from m1 to m2.
copyIn(T[][]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Replace data with a fresh copy of the input array.
copyIn(double[][]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Replace data with a fresh copy of the input array.
copyOf(int[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates a copy of the `source` array.
copyOf(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates a copy of the `source` array.
copyOf(int[], int) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates a copy of the `source` array.
copyOf(double[], int) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates a copy of the `source` array.
copyOut() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Get a fresh copy of the underlying data array.
copyOut() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Get a fresh copy of the underlying data array.
copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Copy the instance.
copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
  Copy the instance.
copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Copy the instance.
copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
  Copy the instance.
copySign(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Returns the instance with the sign of the argument.
copysign(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.Dfp
  Creates an instance that is the same as x except that it has the sign of y.
copySign(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Returns the first argument with the sign of the second argument.
copySign(float, float) - Static method in class org.apache.commons.math3.util.FastMath
  Returns the first argument with the sign of the second argument.
copySign(byte, byte) - Static method in class org.apache.commons.math3.util.MathUtils
  Returns the first argument with the sign of the second argument.
copySign(short, short) - Static method in class org.apache.commons.math3.util.MathUtils
  Returns the first argument with the sign of the second argument.
copySign(int, int) - Static method in class org.apache.commons.math3.util.MathUtils
  Returns the first argument with the sign of the second argument.
copySign(long, long) - Static method in class org.apache.commons.math3.util.MathUtils
  Returns the first argument with the sign of the second argument.
copySubMatrix(int, int, int, int, T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Copy a submatrix.
copySubMatrix(int, int, int, int, T[][]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Copy a submatrix.
correct(double[]) - Method in class org.apache.commons.math3.filter.KalmanFilter
  Correct the current state estimate with an actual measurement.
correct(RealVector) - Method in class org.apache.commons.math3.filter.KalmanFilter
  Correct the current state estimate with an actual measurement.
correctOrientation() - Method in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
  Correct the orientation of the loops contained in the tree.
CorrelatedRandomVectorGenerator - Class in org.apache.commons.math3.random
  A `RandomVectorGenerator` that generates vectors with with correlated components.
CorrelatedRandomVectorGenerator(double[], RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Builds a correlated random vector generator from its mean vector and covariance matrix.
CorrelatedRandomVectorGenerator(RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Builds a null mean random correlated vector generator from its covariance matrix.
correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Computes the Pearson's product-moment correlation coefficient between the two arrays.
correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Computes the Spearman's rank correlation coefficient between the two arrays.
correlationMatrix - Variable in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  correlation matrix
cos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Cosine operation.
cos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute cosine of a derivative structure.
Cos - Class in org.apache.commons.math3.analysis.function
  Cosine function.
Cos() - Constructor for class org.apache.commons.math3.analysis.function.Cos
cos() - Method in class org.apache.commons.math3.complex.Complex
  Compute the cosine of this complex number.
cos(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  computes the cosine of the argument.
cos - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Cosine of the line angle.
cos(double) - Static method in class org.apache.commons.math3.util.FastMath
  Cosine function.
cosAngle(RealVector, RealVector) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
  Compute the cosine of the angle between 2 vectors.
cosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Hyperbolic cosine operation.
cosh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute hyperbolic cosine of a derivative structure.
Cosh - Class in org.apache.commons.math3.analysis.function
  Hyperbolic cosine function.
Cosh() - Constructor for class org.apache.commons.math3.analysis.function.Cosh
cosh() - Method in class org.apache.commons.math3.complex.Complex
  Compute the hyperbolic cosine of this complex number.
cosh(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the hyperbolic cosine of a number.
cosine(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Computes the cosine of the angle between this vector and the argument.
COSINE_TABLE_A - Static variable in class org.apache.commons.math3.util.FastMath
  Cosine table (high bits).
COSINE_TABLE_B - Static variable in class org.apache.commons.math3.util.FastMath
  Cosine table (low bits).
cosInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Computes cos(a) Used when 0 < a < pi/4.
cosQ(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute cosine in the first quadrant by subtracting input from PI/2 and then calling sinQ.
cost - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Cost value (square root of the sum of the residuals).
cost - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Field to become "private" in 4.0. Please use `AbstractLeastSquaresOptimizer.setCost(double)`.
costPerStep - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  overall cost of applying step reduction up to iteration k+1, in number of calls.
costPerTimeUnit - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  cost per unit step.
costRelativeTolerance - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Desired relative error in the sum of squares.
costRelativeTolerance - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Desired relative error in the sum of squares.
count - Variable in class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
  Steps counter.
count - Variable in class org.apache.commons.math3.random.ISAACRandom
  Count through the results in rsl[]
count - Variable in class org.apache.commons.math3.util.Incrementor
  Current count.
count - Variable in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
  Unidimensional counter.
count - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Modifications count.
count - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Modifications count.
counter - Variable in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
  Multidimensional counter.
cov(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Calculates the cov matrix assuming only the first nreq variables are included in the calculation.
Covariance - Class in org.apache.commons.math3.stat.correlation
  Computes covariances for pairs of arrays or columns of a matrix.
Covariance() - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
  Create a Covariance with no data
Covariance(double[][], boolean) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
  Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
  Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(RealMatrix, boolean) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
  Create a covariance matrix from a matrix whose columns represent covariates.
Covariance(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
  Create a covariance matrix from a matrix whose columns represent covariates.
covariance(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Computes the covariance between the two arrays.
covariance(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Computes the covariance between the two arrays, using the bias-corrected formula.
covarianceImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Covariance statistic implementation - cannot be reset.
covarianceMatrix - Variable in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Covariance matrix.
covarianceMatrix - Variable in class org.apache.commons.math3.stat.correlation.Covariance
  covariance matrix
covarianceMatrixDeterminant - Variable in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  The determinant of the covariance matrix.
covarianceMatrixInverse - Variable in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  The matrix inverse of the covariance matrix.
covarianceNumerator - Variable in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
  the running covariance estimate
covarianceToCorrelation(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Derives a correlation matrix from a covariance matrix.
covMatrix - Variable in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  the square covariance matrix (upper triangular part)
create(RealLinearOperator) - Static method in class org.apache.commons.math3.linear.JacobiPreconditioner
  Creates a new instance of this class.
createAdaptor(RandomGenerator) - Static method in class org.apache.commons.math3.random.RandomAdaptor
  Factory method to create a `Random` using the supplied `RandomGenerator`.
createBlocksLayout(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Create a data array in blocks layout.
createBlocksLayout(int, int) - Static method in class org.apache.commons.math3.linear.BlockRealMatrix
  Create a data array in blocks layout.
createChebyshevPolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Create a Chebyshev polynomial of the first kind.
createColumnFieldMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Creates a column `FieldMatrix` using the data from the input array.
createColumnRealMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Creates a column `RealMatrix` using the data from the input array.
createComplex(double, double) - Method in class org.apache.commons.math3.complex.Complex
  Create a complex number given the real and imaginary parts.
createComplexArray(double[][]) - Static method in class org.apache.commons.math3.transform.TransformUtils
  Builds a new array of `Complex` from the specified two dimensional array of real and imaginary parts.
createContributingStatistics() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Creates and returns a `SummaryStatistics` whose data will be aggregated with those of this `AggregateSummaryStatistics`.
createFieldDiagonalMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns a diagonal matrix with specified elements.
createFieldIdentityMatrix(Field<T>, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns `dimension x dimension` identity matrix.
createFieldMatrix(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns a `FieldMatrix` with specified dimensions.
createFieldMatrix(T[][]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns a `FieldMatrix` whose entries are the the values in the the input array.
createFieldVector(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Creates a `FieldVector` using the data from the input array.
createH(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
  Creates `H` of size `m x m` as described in [1] (see above).
createHermitePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Create a Hermite polynomial.
createHypercubeSteps(int, double) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Create steps for a unit hypercube.
createHypercubeSteps(int, double) - Static method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Create steps for a unit hypercube.
createJacobiPolynomial(int, int, int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Create a Jacobi polynomial.
createLaguerrePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Create a Laguerre polynomial.
createLegendrePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Create a Legendre polynomial.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Create a new FieldMatrix<T> of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Create a new FieldMatrix<T> of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Create a new FieldMatrix<T> of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Create a new FieldMatrix<T> of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Create a new FieldMatrix<T> of the same type as the instance with the supplied row and column dimensions.
createRealDiagonalMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns a diagonal matrix with specified elements.
createRealIdentityMatrix(int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns `dimension x dimension` identity matrix.
createRealImaginaryArray(Complex[]) - Static method in class org.apache.commons.math3.transform.TransformUtils
  Builds a new two dimensional array of `double` filled with the real and imaginary parts of the specified `Complex` numbers.
createRealMatrix(int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns a `RealMatrix` with specified dimensions.
createRealMatrix(double[][]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Returns a `RealMatrix` whose entries are the the values in the the input array.
createRealVector(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Creates a `RealVector` using the data from the input array.
createRowFieldMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Create a row `FieldMatrix` using the data from the input array.
createRowRealMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Create a row `RealMatrix` using the data from the input array.
createTableau(boolean) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Create the tableau by itself.
createTableau(boolean) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Create the tableau by itself.
crossover(Chromosome, Chromosome) - Method in interface org.apache.commons.math3.genetics.CrossoverPolicy
  Perform a crossover operation on the given chromosomes.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.CycleCrossover
  Perform a crossover operation on the given chromosomes.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.NPointCrossover
  Performs a N-point crossover.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.OnePointCrossover
  Performs one point crossover.
crossover(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.OnePointCrossover
  Helper for `OnePointCrossover.crossover(Chromosome, Chromosome)`.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.OrderedCrossover
  Perform a crossover operation on the given chromosomes.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.UniformCrossover
  Perform a crossover operation on the given chromosomes.
crossoverPoints - Variable in class org.apache.commons.math3.genetics.NPointCrossover
  The number of crossover points.
CrossoverPolicy - Interface in org.apache.commons.math3.genetics
  Policy used to create a pair of new chromosomes by performing a crossover operation on a source pair of chromosomes.
crossoverPolicy - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
  the crossover policy used by the algorithm.
crossoverRate - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
  the rate of crossover for the algorithm.
crossProduct(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the cross-product of the instance with another vector.
crossProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the cross-product of two vectors.
cs - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Cumulation constant for step-size.
cs - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Cumulation constant for step-size.
cumBinP(int) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  The combined probability of the bins up to and including binIndex.
cumulativeProbability(int, int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Deprecated.
  As of 3.1 (to be removed in 4.0). Please use `AbstractRealDistribution.probability(double,double)` instead.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.FDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int, int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Deprecated.
  See `RealDistribution.cumulativeProbability(double,double)`
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Deprecated.
  See `RealDistribution.cumulativeProbability(double,double)`
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double, double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Deprecated.
  As of 3.1. In 4.0, this method will be renamed `probability(double x0, double x1)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
cumulativeProbability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X <= x)`.
current - Variable in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
  Deprecated.
  Current entry.
current - Variable in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
  Deprecated.
  Last entry returned by `RealVector.SparseEntryIterator.next()`.
current - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
  Index of current element.
current - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
  Index of current element.
currentBest - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Current best values for the variables to be optimized.
currentBest - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Current best values for the variables to be optimized.
currentDegree - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  Degree of the interpolation polynomials.
currentPoint - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.LineSearchFunction
  Current point.
currentState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  current state
CurveFitter<T extends ParametricUnivariateFunction> - Class in org.apache.commons.math3.fitting
  Fitter for parametric univariate real functions y = f(x).
CurveFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.CurveFitter
  Simple constructor.
CurveFitter<T extends ParametricUnivariateFunction> - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
  As of 3.1 (to be removed in 4.0).
CurveFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  as of 3.1 replaced by `CurveFitter.CurveFitter(MultivariateDifferentiableVectorOptimizer)`
CurveFitter(MultivariateDifferentiableVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Simple constructor.
CurveFitter.OldTheoreticalValuesFunction - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
CurveFitter.OldTheoreticalValuesFunction(ParametricUnivariateFunction) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter.OldTheoreticalValuesFunction
  Deprecated.
  Simple constructor.
CurveFitter.TheoreticalValuesFunction - Class in org.apache.commons.math3.fitting
  Vectorial function computing function theoretical values.
CurveFitter.TheoreticalValuesFunction(ParametricUnivariateFunction) - Constructor for class org.apache.commons.math3.fitting.CurveFitter.TheoreticalValuesFunction
CurveFitter.TheoreticalValuesFunction - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
  Vectorial function computing function theoretical values.
CurveFitter.TheoreticalValuesFunction(ParametricUnivariateFunction) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter.TheoreticalValuesFunction
  Deprecated.
  Simple constructor.
cut - Variable in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Cut sub-hyperplane.
CUTOFF_THRESHOLD - Static variable in class org.apache.commons.math3.optim.linear.SimplexTableau
  The cut-off threshold to zero-out entries.
CUTOFF_THRESHOLD - Static variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  The cut-off threshold to zero-out entries.
cX1 - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
cXX - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
cXY - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
cY1 - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
CycleCrossover<T> - Class in org.apache.commons.math3.genetics
  Cycle Crossover [CX] builds offspring from ordered chromosomes by identifying cycles between two parent chromosomes.
CycleCrossover() - Constructor for class org.apache.commons.math3.genetics.CycleCrossover
  Creates a new `CycleCrossover` policy.
CycleCrossover(boolean) - Constructor for class org.apache.commons.math3.genetics.CycleCrossover
  Creates a new `CycleCrossover` policy using the given `randomStart` behavior.
cYX - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
cYY - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform

## D

D - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Interpolation weights.
D - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Scaling.
D - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Scaling.
d - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  diagonals of cross products matrix
d - Variable in class org.apache.commons.math3.util.BigReal
  Underlying BigDecimal.
D0 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Shampine (1986) Dense output, element 0.
D2 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Shampine (1986) Dense output, element 2.
D3 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Shampine (1986) Dense output, element 3.
D4 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Shampine (1986) Dense output, element 4.
D5 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Shampine (1986) Dense output, element 5.
D6 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Shampine (1986) Dense output, element 6.
damps - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Damping for step-size.
damps - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Damping for step-size.
data - Variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Combined array holding all values.
data - Variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
  Partial derivatives.
data - Variable in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Entries of the matrix
data - Variable in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Entries of the matrix.
data - Variable in class org.apache.commons.math3.linear.ArrayFieldVector
  Entries of the vector.
data - Variable in class org.apache.commons.math3.linear.ArrayRealVector
  Entries of the vector.
data - Variable in class org.apache.commons.math3.linear.MatrixUtils.BigFractionMatrixConverter
  Converted array.
data - Variable in class org.apache.commons.math3.linear.MatrixUtils.FractionMatrixConverter
  Converted array.
data - Variable in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Input data
daxpbypz(double, RealVector, double, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.SymmLQ.State
  A BLAS-like function, for the operation z ← a · x + b · y + z.
daxpy(double, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.SymmLQ.State
  A clone of the BLAS `DAXPY` function, which carries out the operation y ← a · x + y.
dbar - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of dbar[k+1] = -beta[k+1] * c[k-1].
DBSCANClusterer<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering
  DBSCAN (density-based spatial clustering of applications with noise) algorithm.
DBSCANClusterer(double, int) - Constructor for class org.apache.commons.math3.stat.clustering.DBSCANClusterer
  Creates a new instance of a DBSCANClusterer.
DBSCANClusterer.PointStatus - Enum in org.apache.commons.math3.stat.clustering
  Status of a point during the clustering process.
DBSCANClusterer.PointStatus() - Constructor for enum org.apache.commons.math3.stat.clustering.DBSCANClusterer.PointStatus
DctNormalization - Enum in org.apache.commons.math3.transform
  This enumeration defines the various types of normalizations that can be applied to discrete cosine transforms (DCT).
DctNormalization() - Constructor for enum org.apache.commons.math3.transform.DctNormalization
Decimal64 - Class in org.apache.commons.math3.util
  This class wraps a `double` value in an object.
Decimal64(double) - Constructor for class org.apache.commons.math3.util.Decimal64
  Creates a new instance of this class.
Decimal64Field - Class in org.apache.commons.math3.util
  The field of double precision floating-point numbers.
Decimal64Field() - Constructor for class org.apache.commons.math3.util.Decimal64Field
  Default constructor.
decode(List<T>) - Method in interface org.apache.commons.math3.genetics.PermutationChromosome
  Permutes the `sequence` of objects of type T according to the permutation this chromosome represents.
decode(List<T>) - Method in class org.apache.commons.math3.genetics.RandomKey
  Permutes the `sequence` of objects of type T according to the permutation this chromosome represents.
decodeGeneric(List<S>, List<Double>, List<Double>) - Static method in class org.apache.commons.math3.genetics.RandomKey
  Decodes a permutation represented by `representation` and returns a (generic) list with the permuted values.
DecompositionSolver - Interface in org.apache.commons.math3.linear
  Interface handling decomposition algorithms that can solve A × X = B.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BisectionSolver
  Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BrentSolver
  Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.MullerSolver
  Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.MullerSolver2
  Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
  Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.NewtonSolver
  Deprecated.
  Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.RiddersSolver
  Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.SecantSolver
  Default absolute accuracy.
DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD - Static variable in class org.apache.commons.math3.linear.CholeskyDecomposition
  Default threshold below which diagonal elements are considered null and matrix not positive definite.
DEFAULT_ABSOLUTE_THRESHOLD - Static variable in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
  Deprecated.
  in 3.1 (to be removed in 4.0) because this value is too small to be useful as a default (cf. MATH-798).
DEFAULT_ACCURACY - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Default value for accuracy.
DEFAULT_BANDWIDTH - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Default value of the bandwidth parameter.
DEFAULT_BIN_COUNT - Static variable in class org.apache.commons.math3.random.EmpiricalDistribution
  Default bin count
DEFAULT_BRIGHTNESS_EXPONENT - Static variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
  Default exponent used the weights calculation.
DEFAULT_CHECKFEASABLECOUNT - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Default value for `CMAESOptimizer.checkFeasableCount`: 0.
DEFAULT_COLUMN_SEPARATOR - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
  The default column separator: ",".
DEFAULT_CONTRACTION_DELTA - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
  Default value for the difference between `ResizableDoubleArray.contractionCriterion` and `ResizableDoubleArray.expansionFactor`.
DEFAULT_DIAGONALONLY - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Default value for `CMAESOptimizer.diagonalOnly`: 0.
DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.distribution.PoissonDistribution
  Default convergence criterion.
DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.optim.linear.SimplexSolver
  Default amount of error to accept for algorithm convergence.
DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Default amount of error to accept for algorithm convergence.
DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.special.Beta
  Maximum allowed numerical error.
DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.special.Gamma
  Maximum allowed numerical error.
DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.util.ContinuedFraction
  Maximum allowed numerical error.
DEFAULT_EXPANSION_FACTOR - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
  Default value for array size modifier.
DEFAULT_EXPECTED_SIZE - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Default starting size.
DEFAULT_EXPECTED_SIZE - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Default starting size.
DEFAULT_EXTEND - Static variable in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
  Default number of extension points of the samples array.
DEFAULT_FORMAT - Static variable in class org.apache.commons.math3.linear.AbstractRealMatrix
  Default format.
DEFAULT_FORMAT - Static variable in class org.apache.commons.math3.linear.ArrayRealVector
  Default format.
DEFAULT_FORMAT - Static variable in class org.apache.commons.math3.linear.MatrixUtils
  The default format for `RealMatrix` objects.
DEFAULT_FUNCTION_VALUE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Default function value accuracy.
DEFAULT_GAMMA - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Default value for `MultiDirectionalSimplex.gamma`: 0.5.
DEFAULT_GAMMA - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Default value for `NelderMeadSimplex.gamma`: 0.5.
DEFAULT_GAMMA - Static variable in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Default value for `MultiDirectionalSimplex.gamma`: 0.5.
DEFAULT_GAMMA - Static variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Default value for `NelderMeadSimplex.gamma`: 0.5.
DEFAULT_IMAGINARY_CHARACTER - Static variable in class org.apache.commons.math3.complex.ComplexFormat
  The default imaginary character.
DEFAULT_INITIAL_CAPACITY - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
  Default value for initial capacity.
DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Default value for `BOBYQAOptimizer.initialTrustRegionRadius`: 10.0 .
DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Default value for `BOBYQAOptimizer.initialTrustRegionRadius`: 10.0 .
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.BetaDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.CauchyDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ExponentialDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.FDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.GammaDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.LogNormalDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.NormalDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.TDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.UniformRealDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.WeibullDistribution
  Default inverse cumulative probability accuracy.
DEFAULT_ISACTIVECMA - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Default value for `CMAESOptimizer.isActiveCMA`: true.
DEFAULT_KHI - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Default value for `MultiDirectionalSimplex.khi`: 2.0.
DEFAULT_KHI - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Default value for `NelderMeadSimplex.khi`: 2.0.
DEFAULT_KHI - Static variable in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Default value for `MultiDirectionalSimplex.khi`: 2.0.
DEFAULT_KHI - Static variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Default value for `NelderMeadSimplex.khi`: 2.0.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math3.distribution.PoissonDistribution
  Default maximum number of iterations for cumulative probability calculations.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Default maximal number of iterations allowed.
DEFAULT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Default maximal iteration count.
DEFAULT_MAXIMAL_ORDER - Static variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Default maximal order.
DEFAULT_MAXITERATIONS - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Default value for `CMAESOptimizer.maxIterations`: 30000.
DEFAULT_MICROSPHERE_ELEMENTS - Static variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
  Default number of surface elements that composes the microsphere.
DEFAULT_MIN_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Default minimal iteration count.
DEFAULT_NAN_STRATEGY - Static variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
  default NaN strategy
DEFAULT_PREFIX - Static variable in class org.apache.commons.math3.geometry.VectorFormat
  The default prefix: "{".
DEFAULT_PREFIX - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
  The default prefix: "{".
DEFAULT_PREFIX - Static variable in class org.apache.commons.math3.linear.RealVectorFormat
  The default prefix: "{".
DEFAULT_RANDOMGENERATOR - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Default value for `CMAESOptimizer.random`.
DEFAULT_RELATIVE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Default relative accuracy.
DEFAULT_RELATIVE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Default relative accuracy.
DEFAULT_RELATIVE_SYMMETRY_THRESHOLD - Static variable in class org.apache.commons.math3.linear.CholeskyDecomposition
  Default threshold above which off-diagonal elements are considered too different and matrix not symmetric.
DEFAULT_RELATIVE_THRESHOLD - Static variable in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
  Deprecated.
  in 3.1 (to be removed in 4.0) because this value is too small to be useful as a default (cf. MATH-798).
DEFAULT_RHO - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Default value for `NelderMeadSimplex.rho`: 1.0.
DEFAULT_RHO - Static variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Default value for `NelderMeadSimplex.rho`: 1.0.
DEFAULT_ROBUSTNESS_ITERS - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Default value of the number of robustness iterations.
DEFAULT_ROW_PREFIX - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
  The default row prefix: "{".
DEFAULT_ROW_SEPARATOR - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
  The default row separator: ",".
DEFAULT_ROW_SUFFIX - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
  The default row suffix: "}".
DEFAULT_SEPARATOR - Static variable in class org.apache.commons.math3.geometry.VectorFormat
  The default separator: ", ".
DEFAULT_SEPARATOR - Static variable in class org.apache.commons.math3.linear.RealVectorFormat
  The default separator: ", ".
DEFAULT_SIGMA - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Default value for `NelderMeadSimplex.sigma`: 0.5.
DEFAULT_SIGMA - Static variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Default value for `NelderMeadSimplex.sigma`: 0.5.
DEFAULT_SINGULARITY_THRESHOLD - Static variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1.
DEFAULT_STOPFITNESS - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Default value for `CMAESOptimizer.stopFitness`: 0.0.
DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Default value for `BOBYQAOptimizer.stoppingTrustRegionRadius`: 1.0E-8 .
DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Default value for `BOBYQAOptimizer.stoppingTrustRegionRadius`: 1.0E-8 .
DEFAULT_SUFFIX - Static variable in class org.apache.commons.math3.geometry.VectorFormat
  The default suffix: "}".
DEFAULT_SUFFIX - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
  The default suffix: "}".
DEFAULT_SUFFIX - Static variable in class org.apache.commons.math3.linear.RealVectorFormat
  The default suffix: "}".
DEFAULT_TIES_STRATEGY - Static variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
  default ties strategy
DEFAULT_TOO_SMALL - Static variable in class org.apache.commons.math3.linear.LUDecomposition
  Default bound to determine effective singularity in LU decomposition.
DEFAULT_ULPS - Static variable in class org.apache.commons.math3.optim.linear.SimplexSolver
  Default amount of error to accept in floating point comparisons (as ulps).
DEFAULT_ULPS - Static variable in class org.apache.commons.math3.optim.linear.SimplexTableau
  Default amount of error to accept in floating point comparisons (as ulps).
DEFAULT_ULPS - Static variable in class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Default amount of error to accept in floating point comparisons (as ulps).
DEFAULT_ULPS - Static variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Default amount of error to accept in floating point comparisons (as ulps).
DEFAULT_ZERO_TOLERANCE - Static variable in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Default Tolerance for having a value considered zero.
DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Default implementation of the `FieldMatrixChangingVisitor` interface.
DefaultFieldMatrixChangingVisitor(T) - Constructor for class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
  Build a new instance.
DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Default implementation of the `FieldMatrixPreservingVisitor` interface.
DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
  Build a new instance.
DefaultIterativeLinearSolverEvent - Class in org.apache.commons.math3.linear
  A default concrete implementation of the abstract class `IterativeLinearSolverEvent`.
DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, RealVector, double) - Constructor for class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  Creates a new instance of this class.
DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, double) - Constructor for class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  Creates a new instance of this class.
DefaultMeasurementModel - Class in org.apache.commons.math3.filter
  Default implementation of a `MeasurementModel` for the use with a `KalmanFilter`.
DefaultMeasurementModel(double[][], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultMeasurementModel
  Create a new `MeasurementModel`, taking double arrays as input parameters for the respective measurement matrix and noise.
DefaultMeasurementModel(RealMatrix, RealMatrix) - Constructor for class org.apache.commons.math3.filter.DefaultMeasurementModel
  Create a new `MeasurementModel`, taking `RealMatrix` objects as input parameters for the respective measurement matrix and noise.
DefaultProcessModel - Class in org.apache.commons.math3.filter
  Default implementation of a `ProcessModel` for the use with a `KalmanFilter`.
DefaultProcessModel(double[][], double[][], double[][], double[], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
  Create a new `ProcessModel`, taking double arrays as input parameters.
DefaultProcessModel(double[][], double[][], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
  Create a new `ProcessModel`, taking double arrays as input parameters.
DefaultProcessModel(RealMatrix, RealMatrix, RealMatrix, RealVector, RealMatrix) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
  Create a new `ProcessModel`, taking double arrays as input parameters.
DefaultRealMatrixChangingVisitor - Class in org.apache.commons.math3.linear
  Default implementation of the `RealMatrixChangingVisitor` interface.
DefaultRealMatrixChangingVisitor() - Constructor for class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
DefaultRealMatrixPreservingVisitor - Class in org.apache.commons.math3.linear
  Default implementation of the `RealMatrixPreservingVisitor` interface.
DefaultRealMatrixPreservingVisitor() - Constructor for class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
DefaultTransformer - Class in org.apache.commons.math3.util
  A Default NumberTransformer for java.lang.Numbers and Numeric Strings.
DefaultTransformer() - Constructor for class org.apache.commons.math3.util.DefaultTransformer
defaultTransformer - Variable in class org.apache.commons.math3.util.TransformerMap
  A default Number Transformer for Numbers and numeric Strings.
degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Returns the degree of the polynomial.
degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Returns the degree of the polynomial.
degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Returns the degree of the polynomial.
degree - Variable in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
  Deprecated.
degreesOfFreedom - Variable in class org.apache.commons.math3.distribution.TDistribution
  The degrees of freedom.
delegate - Variable in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  RandomDataGenerator delegate
delete(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Delete an element from the tree.
delete() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Delete the node from the tree.
delta - Variable in class org.apache.commons.math3.linear.ConjugateGradient
  The value of δ, for the default stopping criterion.
delta - Variable in class org.apache.commons.math3.linear.SymmLQ
  The value of the custom tolerance δ for the default stopping criterion.
delta - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of the custom tolerance δ for the default stopping criterion.
delta - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
  Grid size
DELTA - Static variable in class org.apache.commons.math3.special.Beta
  The coefficients of the series expansion of the Δ function.
deltaMinusDeltaSum(double, double) - Static method in class org.apache.commons.math3.special.Beta
  Returns the value of Δ(b) - Δ(a + b), with 0 ≤ a ≤ b and b ≥ 10.
denominator - Variable in class org.apache.commons.math3.fraction.BigFraction
  The denominator.
denominator - Variable in class org.apache.commons.math3.fraction.Fraction
  The denominator.
denominatorDegreesOfFreedom - Variable in class org.apache.commons.math3.distribution.FDistribution
  The numerator degrees of freedom.
denominatorFormat - Variable in class org.apache.commons.math3.fraction.AbstractFormat
  The format used for the denominator.
density(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.FDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double[]) - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double[]) - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double[]) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.TDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
density(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Returns the probability density function (PDF) of this distribution evaluated at the specified point `x`.
densityPrefactor1 - Variable in class org.apache.commons.math3.distribution.GammaDistribution
  The constant value of `shape / scale * sqrt(e / (2 * pi * (shape + g + 0.5))) / L(shape)`, where `L(shape)` is the Lanczos approximation returned by `Gamma.lanczos(double)`.
densityPrefactor2 - Variable in class org.apache.commons.math3.distribution.GammaDistribution
  The constant value of `shape * sqrt(e / (2 * pi * (shape + g + 0.5))) / L(shape)`, where `L(shape)` is the Lanczos approximation returned by `Gamma.lanczos(double)`.
derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateFunction
  Deprecated.
  Returns the derivative of the function
derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateMatrixFunction
  Deprecated.
  Returns the derivative of the function
derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateVectorFunction
  Deprecated.
  Returns the derivative of the function
derivative() - Method in class org.apache.commons.math3.analysis.function.Acos
  Deprecated.
  as of 3.1, replaced by `Acos.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Acosh
  Deprecated.
  as of 3.1, replaced by `Acosh.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Asin
  Deprecated.
  as of 3.1, replaced by `Asin.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Asinh
  Deprecated.
  as of 3.1, replaced by `Asinh.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Atan
  Deprecated.
  as of 3.1, replaced by `Atan.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Atanh
  Deprecated.
  as of 3.1, replaced by `Atanh.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Cbrt
  Deprecated.
  as of 3.1, replaced by `Cbrt.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Constant
  Deprecated.
  as of 3.1, replaced by `Constant.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Cos
  Deprecated.
  as of 3.1, replaced by `Cos.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Cosh
  Deprecated.
  as of 3.1, replaced by `Cosh.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Exp
  Deprecated.
  as of 3.1, replaced by `Exp.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Expm1
  Deprecated.
  as of 3.1, replaced by `Expm1.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Gaussian
  Deprecated.
  as of 3.1, replaced by `Gaussian.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
  Deprecated.
  as of 3.1, replaced by `HarmonicOscillator.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Identity
  Deprecated.
  as of 3.1, replaced by `Identity.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Inverse
  Deprecated.
  as of 3.1, replaced by `Inverse.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Log
  Deprecated.
  as of 3.1, replaced by `Log.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Log10
  Deprecated.
  as of 3.1, replaced by `Log10.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Log1p
  Deprecated.
  as of 3.1, replaced by `Log1p.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Logistic
  Deprecated.
  as of 3.1, replaced by `Logistic.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Logit
  Deprecated.
  as of 3.1, replaced by `Logit.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Minus
  Deprecated.
  as of 3.1, replaced by `Minus.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Power
  Deprecated.
  as of 3.1, replaced by `Power.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Sigmoid
  Deprecated.
  as of 3.1, replaced by `Sigmoid.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Sin
  Deprecated.
  as of 3.1, replaced by `Sin.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Sinc
  Deprecated.
  as of 3.1, replaced by `Sinc.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Sinh
  Deprecated.
  as of 3.1, replaced by `Sinh.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Sqrt
  Deprecated.
  as of 3.1, replaced by `Sqrt.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Tan
  Deprecated.
  as of 3.1, replaced by `Tan.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.function.Tanh
  Deprecated.
  as of 3.1, replaced by `Tanh.value(DerivativeStructure)`
derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Returns the derivative as a `UnivariateFunction`.
derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Get the derivative of the polynomial spline function.
derivativesIndirection - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Indirection array for partial derivatives.
DerivativeStructure - Class in org.apache.commons.math3.analysis.differentiation
  Class representing both the value and the differentials of a function.
DerivativeStructure(DSCompiler) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Build an instance with all values and derivatives set to 0.
DerivativeStructure(int, int) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Build an instance with all values and derivatives set to 0.
DerivativeStructure(int, int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Build an instance representing a constant value.
DerivativeStructure(int, int, int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Build an instance representing a variable.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Linear combination constructor.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Linear combination constructor.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Linear combination constructor.
DerivativeStructure(int, int, double...) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Build an instance from all its derivatives.
DerivativeStructure(DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Copy constructor.
DerivativeStructure.DataTransferObject - Class in org.apache.commons.math3.analysis.differentiation
  Internal class used only for serialization.
DerivativeStructure.DataTransferObject(int, int, double[]) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
  Simple constructor.
DescriptiveStatistics - Class in org.apache.commons.math3.stat.descriptive
  Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.
DescriptiveStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Construct a DescriptiveStatistics instance with an infinite window
DescriptiveStatistics(int) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Construct a DescriptiveStatistics instance with the specified window
DescriptiveStatistics(double[]) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Construct a DescriptiveStatistics instance with an infinite window and the initial data values in double[] initialDoubleArray.
DescriptiveStatistics(DescriptiveStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Copy constructor.
deSerializeContext(ObjectInputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Deserialize `ExceptionContext.context`.
deSerializeMessages(ObjectInputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Deserialize `ExceptionContext.msgPatterns` and `ExceptionContext.msgArguments`.
deserializeRealMatrix(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Deserialize a `RealMatrix` field in a class.
deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Deserialize a `RealVector` field in a class.
determineLMDirection(double[], double[], double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Solve a*x = b and d*x = 0 in the least squares sense.
determineLMDirection(double[], double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Solve a*x = b and d*x = 0 in the least squares sense.
determineLMParameter(double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Determine the Levenberg-Marquardt parameter.
determineLMParameter(double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Determine the Levenberg-Marquardt parameter.
dev - Variable in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
  Deviation of most recently added value from previous first moment.
df(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes approximate degrees of freedom for 2-sample t-test.
dfbg - Variable in class org.apache.commons.math3.stat.inference.OneWayAnova.AnovaStats
  Degrees of freedom in numerator (between groups).
Dfp - Class in org.apache.commons.math3.dfp
  Decimal floating point library for Java
Dfp(DfpField) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Makes an instance with a value of zero.
Dfp(DfpField, byte) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Create an instance from a byte value.
Dfp(DfpField, int) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Create an instance from an int value.
Dfp(DfpField, long) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Create an instance from a long value.
Dfp(DfpField, double) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Create an instance from a double value.
Dfp(Dfp) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Copy constructor.
Dfp(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Create an instance from a String representation.
Dfp(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.Dfp
  Creates an instance with a non-finite value.
dfp2sci() - Method in class org.apache.commons.math3.dfp.Dfp
  Convert an instance to a string using scientific notation.
dfp2string() - Method in class org.apache.commons.math3.dfp.Dfp
  Convert an instance to a string using normal notation.
DfpDec - Class in org.apache.commons.math3.dfp
  Subclass of `Dfp` which hides the radix-10000 artifacts of the superclass.
DfpDec(DfpField) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Makes an instance with a value of zero.
DfpDec(DfpField, byte) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a byte value.
DfpDec(DfpField, int) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Create an instance from an int value.
DfpDec(DfpField, long) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a long value.
DfpDec(DfpField, double) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a double value.
DfpDec(Dfp) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Copy constructor.
DfpDec(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a String representation.
DfpDec(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.DfpDec
  Creates an instance with a non-finite value.
DfpField - Class in org.apache.commons.math3.dfp
  Field for Decimal floating point instances.
DfpField(int) - Constructor for class org.apache.commons.math3.dfp.DfpField
  Create a factory for the specified number of radix digits.
DfpField(int, boolean) - Constructor for class org.apache.commons.math3.dfp.DfpField
  Create a factory for the specified number of radix digits.
DfpField.RoundingMode - Enum in org.apache.commons.math3.dfp
  Enumerate for rounding modes.
DfpField.RoundingMode() - Constructor for enum org.apache.commons.math3.dfp.DfpField.RoundingMode
DfpMath - Class in org.apache.commons.math3.dfp
  Mathematical routines for use with `Dfp`.
DfpMath() - Constructor for class org.apache.commons.math3.dfp.DfpMath
  Private Constructor.
DftNormalization - Enum in org.apache.commons.math3.transform
  This enumeration defines the various types of normalizations that can be applied to discrete Fourier transforms (DFT).
DftNormalization() - Constructor for enum org.apache.commons.math3.transform.DftNormalization
dfwg - Variable in class org.apache.commons.math3.stat.inference.OneWayAnova.AnovaStats
  Degrees of freedom in denominator (within groups).
diag - Variable in class org.apache.commons.math3.linear.JacobiPreconditioner
  The diagonal coefficients of the preconditioner.
diag(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
diag(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
diagC - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Diagonal of C, used for diagonalOnly.
diagC - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Diagonal of C, used for diagonalOnly.
diagD - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Diagonal of sqrt(D), stored for efficiency.
diagD - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Diagonal of sqrt(D), stored for efficiency.
diagonalOnly - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Defines the number of initial iterations, where the covariance matrix remains diagonal and the algorithm has internally linear time complexity.
diagonalOnly - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Defines the number of initial iterations, where the covariance matrix remains diagonal and the algorithm has internally linear time complexity.
diagR - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Diagonal elements of the R matrix in the Q.R.
diagR - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Diagonal elements of the R matrix in the Q.R.
difference(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Compute the difference of two regions.
DifferentiableMultivariateFunction - Interface in org.apache.commons.math3.analysis
  Deprecated.
  as of 3.1 replaced by `MultivariateDifferentiableFunction`
DifferentiableMultivariateMultiStartOptimizer - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
DifferentiableMultivariateMultiStartOptimizer(DifferentiableMultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
DifferentiableMultivariateOptimizer - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
DifferentiableMultivariateVectorFunction - Interface in org.apache.commons.math3.analysis
  Deprecated.
  as of 3.1 replaced by `MultivariateDifferentiableVectorFunction`
DifferentiableMultivariateVectorMultiStartOptimizer - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
DifferentiableMultivariateVectorMultiStartOptimizer(DifferentiableMultivariateVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateVectorMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
DifferentiableMultivariateVectorOptimizer - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
DifferentiableUnivariateFunction - Interface in org.apache.commons.math3.analysis
  Deprecated.
  as of 3.1 replaced by `UnivariateDifferentiableFunction`
DifferentiableUnivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
  Deprecated.
  as of 3.1 replaced by `UnivariateDifferentiableMatrixFunction`
DifferentiableUnivariateSolver - Interface in org.apache.commons.math3.analysis.solvers
  Deprecated.
  as of 3.1, replaced by `UnivariateDifferentiableSolver`
DifferentiableUnivariateVectorFunction - Interface in org.apache.commons.math3.analysis
  Deprecated.
  as of 3.1 replaced by `UnivariateDifferentiableVectorFunction`
differentiate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Create an implementation of a `differential` from a regular `function`.
differentiate(UnivariateVectorFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Create an implementation of a `differential` from a regular `vector function`.
differentiate(UnivariateMatrixFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Create an implementation of a `differential` from a regular `matrix function`.
differentiate(UnivariateFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateFunctionDifferentiator
  Create an implementation of a `differential` from a regular `function`.
differentiate(UnivariateMatrixFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateMatrixFunctionDifferentiator
  Create an implementation of a `differential` from a regular `matrix function`.
differentiate(UnivariateVectorFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateVectorFunctionDifferentiator
  Create an implementation of a `differential` from a regular `vector function`.
differentiate(double[]) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Returns the coefficients of the derivative of the polynomial with the given coefficients.
digamma(double) - Static method in class org.apache.commons.math3.special.Gamma
  Computes the digamma function of x.
DIGEST_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
  Use empirical distribution.
dim - Variable in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
  Deprecated.
  Dimension of the vector.
dimension - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
  Space dimension.
dimension - Variable in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
  The number of dimensions or columns in the multivariate distribution.
dimension - Variable in exception org.apache.commons.math3.exception.DimensionMismatchException
  Correct dimension.
dimension - Variable in class org.apache.commons.math3.ode.EquationsMapper
  Dimension of the secondary state parameters.
dimension - Variable in class org.apache.commons.math3.ode.FirstOrderConverter
  second order problem dimension.
dimension - Variable in class org.apache.commons.math3.ode.MultistepIntegrator.CountingDifferentialEquations
  Dimension of the problem.
dimension - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Simplex dimension (must be equal to `simplex.length - 1`).
dimension - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Number of objective variables/problem dimension
dimension - Variable in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Simplex dimension (must be equal to `simplex.length - 1`).
dimension - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Number of objective variables/problem dimension
dimension - Variable in class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
  Space dimension.
dimension - Variable in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  dimension of the square covariance matrix
dimension - Variable in class org.apache.commons.math3.util.MultidimensionalCounter
  Number of dimensions.
DimensionMismatchException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when two dimensions differ.
DimensionMismatchException(Localizable, int, int) - Constructor for exception org.apache.commons.math3.exception.DimensionMismatchException
  Construct an exception from the mismatched dimensions.
DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math3.exception.DimensionMismatchException
  Construct an exception from the mismatched dimensions.
dimensionSize - Variable in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
  Deprecated.
  Size in all dimensions.
direct - Variable in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Orientation.
direction - Variable in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
  Direction (positive for increasing, negative for decreasing).
direction - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Line direction.
direction - Variable in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
  boolean value UPSIDE <-> true
dirtyParameter - Variable in class org.apache.commons.math3.ode.JacobianMatrices
  Boolean for selected parameters consistency.
dirtyState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  indicator for dirty state.
discardExtremeElements(int, boolean) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Discards the `i` first or last elements of the array, depending on the value of `front`.
discardFrontElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Discards the `i` initial elements of the array.
discardMostRecentElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Discards the `i` last elements of the array.
distance(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the distance between the instance and another vector according to the L2 norm.
distance(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the distance between two vectors according to the L2 norm.
distance(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Compute the distance between the instance and a point.
distance(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Compute the shortest distance between the instance and another line.
distance(Rotation, Rotation) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Compute the distance between two rotations.
distance(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the distance between the instance and another vector according to the L2 norm.
distance(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the distance between two vectors according to the L2 norm.
distance(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Compute the distance between the instance and a point.
distance(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
  Calculates the shortest distance from a point to this line segment.
distance(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the distance between the instance and another vector according to the L2 norm.
distance(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the distance between two vectors according to the L2 norm.
distance(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Compute the distance between the instance and another vector according to the L2 norm.
distance(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Calculates the L2 (Euclidean) distance between two points.
distance(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Calculates the L2 (Euclidean) distance between two points.
distance1(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the distance between the instance and another vector according to the L1 norm.
distance1(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the distance between the instance and another vector according to the L1 norm.
distance1(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the distance between two vectors according to the L1 norm.
distance1(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the distance between the instance and another vector according to the L1 norm.
distance1(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Compute the distance between the instance and another vector according to the L1 norm.
distance1(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Calculates the L1 (sum of abs) distance between two points.
distance1(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Calculates the L1 (sum of abs) distance between two points.
distanceFrom(T) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable
  Returns the distance from the given point.
distanceFrom(EuclideanDoublePoint) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
  Returns the distance from the given point.
distanceFrom(EuclideanIntegerPoint) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
  Returns the distance from the given point.
distanceInf(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the distance between the instance and another vector according to the L∞ norm.
distanceInf(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the distance between two vectors according to the L∞ norm.
distanceInf(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the distance between the instance and another vector according to the L∞ norm.
distanceInf(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the distance between two vectors according to the L∞ norm.
distanceInf(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the distance between the instance and another vector according to the L∞ norm.
distanceInf(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the distance between two vectors according to the L∞ norm.
distanceInf(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Compute the distance between the instance and another vector according to the L∞ norm.
distanceInf(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Calculates the L∞ (max of abs) distance between two points.
distanceInf(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Calculates the L∞ (max of abs) distance between two points.
distanceSq(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the square of the distance between the instance and another vector.
distanceSq(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the square of the distance between two vectors.
distanceSq(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the square of the distance between the instance and another vector.
distanceSq(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the square of the distance between two vectors.
distanceSq(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the square of the distance between the instance and another vector.
distanceSq(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the square of the distance between two vectors.
distanceSq(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Compute the square of the distance between the instance and another vector.
distribution - Variable in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
  Mixture components.
divide(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  '÷s;' operator.
divide(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  '÷s;' operator.
divide(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Perform division of two derivative structures.
Divide - Class in org.apache.commons.math3.analysis.function
  Divide the first operand by the second.
Divide() - Constructor for class org.apache.commons.math3.analysis.function.Divide
divide(Complex) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `(this / divisor)`.
divide(double) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `(this / divisor)`, with `divisor` interpreted as a real number.
divide(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Divide this by divisor.
divide(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Divide by a single digit less than radix.
divide(T) - Method in interface org.apache.commons.math3.FieldElement
  Compute this ÷ a.
divide(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
  Divide the value of this fraction by the passed `BigInteger`, ie `this * 1 / bg`, returning the result in reduced form.
divide(int) - Method in class org.apache.commons.math3.fraction.BigFraction
  Divide the value of this fraction by the passed `int`, ie `this * 1 / i`, returning the result in reduced form.
divide(long) - Method in class org.apache.commons.math3.fraction.BigFraction
  Divide the value of this fraction by the passed `long`, ie `this * 1 / l`, returning the result in reduced form.
divide(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
  Divide the value of this fraction by another, returning the result in reduced form.
divide(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
  Divide the value of this fraction by another.
divide(int) - Method in class org.apache.commons.math3.fraction.Fraction
  Divide the fraction by an integer.
divide(RealMatrix, RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
divide(RealMatrix, RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
divide(BigReal) - Method in class org.apache.commons.math3.util.BigReal
  Compute this ÷ a.
divide(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Compute this ÷ a.
DIVIDE_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
  Name for traps triggered by division.
DividedDifferenceInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Implements the Divided Difference Algorithm for interpolation of real univariate functions.
DividedDifferenceInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
divideRow(int, double) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Subtracts a multiple of one row from another.
divideRow(int, double) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Subtracts a multiple of one row from another.
doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
  Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.EulerStepInterpolator
  Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
  Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54StepInterpolator
  Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.MidpointStepInterpolator
  Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesStepInterpolator
  Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Really copy the finalized instance.
doFinalize() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Really finalize the step.
doFinalize() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Really finalize the step.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
  Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.RombergIntegrator
  Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
  Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
  Method for implementing actual integration algorithms in derived classes.
doIteration(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
  Runs one iteration of the Simplex method on the given model.
doIteration(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Runs one iteration of the Simplex method on the given model.
doNormalizedStep(boolean) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
  Invokes the underlying step handler for the current normalized step.
doOptimize() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.univariate.BrentOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.PowellOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Method for implementing actual optimization algorithms in derived classes.
doOptimize() - Method in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
  Deprecated.
  Method for implementing actual optimization algorithms in derived classes.
doRemove(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Remove an element at specified index.
doRemove(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Remove an element at specified index.
DormandPrince54Integrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Simple constructor.
DormandPrince54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Simple constructor.
DormandPrince54StepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
  This class represents an interpolator over the last step during an ODE integration for the 5(4) Dormand-Prince integrator.
DormandPrince54StepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Simple constructor.
DormandPrince54StepInterpolator(DormandPrince54StepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Copy constructor.
DormandPrince853Integrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince853Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Simple constructor.
DormandPrince853Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Simple constructor.
DormandPrince853StepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
  This class represents an interpolator over the last step during an ODE integration for the 8(5,3) Dormand-Prince integrator.
DormandPrince853StepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Simple constructor.
DormandPrince853StepInterpolator(DormandPrince853StepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Copy constructor.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BisectionSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BrentSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver2
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.NewtonSolver
  Deprecated.
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.RiddersSolver
  Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.SecantSolver
  Method for implementing actual optimization algorithms in derived classes.
dotProduct(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
  Computes the dot-product of two quaternions.
dotProduct(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
  Computes the dot-product of the instance by a quaternion.
dotProduct(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Compute the dot-product of the instance and another vector.
dotProduct(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the dot-product of the instance and another vector.
dotProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Compute the dot-product of two vectors.
dotProduct(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Compute the dot-product of the instance and another vector.
dotProduct(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Compute the dot-product of the instance and another vector.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute the dot product.
dotProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute the dot product.
dotProduct(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Compute the dot product of this vector with `v`.
dotProduct(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Compute the dot product.
dotProduct(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  as of 3.1 (to be removed in 4.0). The computation is performed by the parent class. The method must be kept to maintain backwards compatibility.
dotProduct(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Compute the dot product of this vector with `v`.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Compute the dot product.
dotrap(int, String, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Raises a trap.
DoubleArray - Interface in org.apache.commons.math3.util
  Provides a standard interface for double arrays.
doubleHighPart(double) - Static method in class org.apache.commons.math3.util.FastMath
  Get the high order bits from the mantissa.
doubleValue() - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction as a `double`.
doubleValue() - Method in class org.apache.commons.math3.fraction.Fraction
  Gets the fraction as a `double`.
doubleValue() - Method in class org.apache.commons.math3.util.BigReal
  Get the double value corresponding to the instance.
doubleValue() - Method in class org.apache.commons.math3.util.Decimal64
DOWNSIDE_VARIANCE - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  The DOWNSIDE Direction is used to specify that the observations below the cutoff point will be used to calculate SemiVariance
dropPhase1Objective() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Removes the phase 1 objective function, positive cost non-artificial variables, and the non-basic artificial variables from this tableau.
dropPhase1Objective() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Removes the phase 1 objective function, positive cost non-artificial variables, and the non-basic artificial variables from this tableau.
DSCompiler - Class in org.apache.commons.math3.analysis.differentiation
  Class holding "compiled" computation rules for derivative structures.
DSCompiler(int, int, DSCompiler, DSCompiler) - Constructor for class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Private constructor, reserved for the factory method `DSCompiler.getCompiler(int, int)`.
DstNormalization - Enum in org.apache.commons.math3.transform
  This enumeration defines the various types of normalizations that can be applied to discrete sine transforms (DST).
DstNormalization() - Constructor for enum org.apache.commons.math3.transform.DstNormalization
DummyLocalizable - Class in org.apache.commons.math3.exception.util
  Dummy implementation of the `Localizable` interface, without localization.
DummyLocalizable(String) - Constructor for class org.apache.commons.math3.exception.util.DummyLocalizable
  Simple constructor.
DummyStepHandler - Class in org.apache.commons.math3.ode.sampling
  This class is a step handler that does nothing.
DummyStepHandler() - Constructor for class org.apache.commons.math3.ode.sampling.DummyStepHandler
  Private constructor.
DummyStepHandler.LazyHolder - Class in org.apache.commons.math3.ode.sampling
  Holder for the instance.
DummyStepHandler.LazyHolder() - Constructor for class org.apache.commons.math3.ode.sampling.DummyStepHandler.LazyHolder

## E

e - Variable in class org.apache.commons.math3.dfp.DfpField
  A `Dfp` with value e.
E - Static variable in class org.apache.commons.math3.util.FastMath
  Napier's constant e, base of the natural logarithm.
E1 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Error array, element 1.
E1_01 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  First error weights array, element 1.
E1_06 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  First error weights array, element 6.
E1_07 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  First error weights array, element 7.
E1_08 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  First error weights array, element 8.
E1_09 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  First error weights array, element 9.
E1_10 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  First error weights array, element 10.
E1_11 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  First error weights array, element 11.
E1_12 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  First error weights array, element 12.
E2_01 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Second error weights array, element 1.
E2_06 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Second error weights array, element 6.
E2_07 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Second error weights array, element 7.
E2_08 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Second error weights array, element 8.
E2_09 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Second error weights array, element 9.
E2_10 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Second error weights array, element 10.
E2_11 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Second error weights array, element 11.
E2_12 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Second error weights array, element 12.
E3 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Error array, element 3.
E4 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Error array, element 4.
E5 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Error array, element 5.
E6 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Error array, element 6.
E7 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Error array, element 7.
ebeAdd(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates an array whose contents will be the element-by-element addition of the arguments.
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Element-by-element division.
ebeDivide(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Element-by-element division.
ebeDivide(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Deprecated.
  As of version 3.1, this method is deprecated, and will be removed in version 4.0. This decision follows the discussion reported in MATH-803. Uses of this method involving sparse implementations of `RealVector` might lead to wrong results. Since there is no satisfactory correction to this bug, this method is deprecated. Users who want to preserve this feature are advised to implement `RealVectorPreservingVisitor` (possibly ignoring corner cases for the sake of efficiency).
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Element-by-element division.
ebeDivide(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates an array whose contents will be the element-by-element division of the first argument by the second.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Element-by-element multiplication.
ebeMultiply(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Deprecated.
  As of version 3.1, this method is deprecated, and will be removed in version 4.0. This decision follows the discussion reported in MATH-803. Uses of this method involving sparse implementations of `RealVector` might lead to wrong results. Since there is no satisfactory correction to this bug, this method is deprecated. Users who want to preserve this feature are advised to implement `RealVectorPreservingVisitor` (possibly ignoring corner cases for the sake of efficiency).
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Element-by-element multiplication.
ebeMultiply(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates an array whose contents will be the element-by-element multiplication of the arguments.
ebeSubtract(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Creates an array whose contents will be the element-by-element subtraction of the second argument from the first.
eDA - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Stored data values
efode - Variable in class org.apache.commons.math3.ode.JacobianMatrices
  Expandable first order differential equation.
EigenDecomposition - Class in org.apache.commons.math3.linear
  Calculates the eigen decomposition of a real matrix.
EigenDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
  Calculates the eigen decomposition of the given real matrix.
EigenDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
  Deprecated.
  in 3.1 (to be removed in 4.0) due to unused parameter
EigenDecomposition(double[], double[]) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
  Calculates the eigen decomposition of the symmetric tridiagonal matrix.
EigenDecomposition(double[], double[], double) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
  Deprecated.
  in 3.1 (to be removed in 4.0) due to unused parameter
EigenDecomposition.Solver - Class in org.apache.commons.math3.linear
  Specialized solver.
EigenDecomposition.Solver(double[], double[], ArrayRealVector[]) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition.Solver
  Builds a solver from decomposed matrix.
eigenvectors - Variable in class org.apache.commons.math3.linear.EigenDecomposition
  Eigenvectors.
eigenvectors - Variable in class org.apache.commons.math3.linear.EigenDecomposition.Solver
  Eigenvectors.
EIGHTHS - Static variable in class org.apache.commons.math3.util.FastMath
  Eighths.
element - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Element contained in the current node.
elitismRate - Variable in class org.apache.commons.math3.genetics.ElitisticListPopulation
  percentage of chromosomes copied to the next generation
ElitisticListPopulation - Class in org.apache.commons.math3.genetics
  Population of chromosomes which uses elitism (certain percentage of the best chromosomes is directly copied to the next generation).
ElitisticListPopulation(List<Chromosome>, int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation
  Creates a new `ElitisticListPopulation` instance.
ElitisticListPopulation(int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation
  Creates a new `ElitisticListPopulation` instance and initializes its inner chromosome list.
EmbeddedRungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.
EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Build a Runge-Kutta integrator with the given Butcher array.
EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Build a Runge-Kutta integrator with the given Butcher array.
Embedding<S extends Space,T extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
  This interface defines mappers between a space and one of its sub-spaces.
EmpiricalDistribution - Class in org.apache.commons.math3.random
  Represents an empirical probability distribution -- a probability distribution derived from observed data without making any assumptions about the functional form of the population distribution that the data come from.
EmpiricalDistribution() - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
  Creates a new EmpiricalDistribution with the default bin count.
EmpiricalDistribution(int) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
  Creates a new EmpiricalDistribution with the specified bin count.
EmpiricalDistribution(int, RandomGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
  Creates a new EmpiricalDistribution with the specified bin count using the provided `RandomGenerator` as the source of random data.
EmpiricalDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
  Creates a new EmpiricalDistribution with default bin count using the provided `RandomGenerator` as the source of random data.
EmpiricalDistribution(int, RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
  Deprecated.
  As of 3.1. Please use `EmpiricalDistribution.EmpiricalDistribution(int,RandomGenerator)` instead.
EmpiricalDistribution(RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
  Deprecated.
  As of 3.1. Please use `EmpiricalDistribution.EmpiricalDistribution(RandomGenerator)` instead.
EmpiricalDistribution(int, RandomDataGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
  Private constructor to allow lazy initialisation of the RNG contained in the `EmpiricalDistribution.randomData` instance variable.
empiricalDistribution - Variable in class org.apache.commons.math3.random.ValueServer
  Empirical probability distribution for use with DIGEST_MODE.
EmpiricalDistribution.ArrayDataAdapter - Class in org.apache.commons.math3.random
  `DataAdapter` for data provided as array of doubles.
EmpiricalDistribution.ArrayDataAdapter(double[]) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution.ArrayDataAdapter
  Construct an ArrayDataAdapter from a double[] array
EmpiricalDistribution.DataAdapter - Class in org.apache.commons.math3.random
  Provides methods for computing `sampleStats` and `beanStats` abstracting the source of data.
EmpiricalDistribution.DataAdapter() - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution.DataAdapter
EmpiricalDistribution.StreamDataAdapter - Class in org.apache.commons.math3.random
  `DataAdapter` for data provided through some input stream
EmpiricalDistribution.StreamDataAdapter(BufferedReader) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution.StreamDataAdapter
  Create a StreamDataAdapter from a BufferedReader
emptyStrategy - Variable in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Selected strategy for empty clusters.
encode(int) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Encode the T-uple with a given offset.
encoding - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Ordering encoding of the double components.
end - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Segment
  End point of the segments.
end - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
  End vertex.
end - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Segment
  End point of the segments.
end() - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
  End visiting a matrix.
end() - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
  End visiting a matrix.
end() - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
  End visiting a matrix.
end() - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
  End visiting a matrix.
end() - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
  End visiting a matrix.
end() - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
  End visiting a matrix.
end() - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
  End visiting a matrix.
end() - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
  End visiting a matrix.
end() - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
  End visiting a vector.
end() - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
  End visiting a vector.
end() - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
  End visiting the Nordsieck vector.
endTime - Variable in class org.apache.commons.math3.genetics.FixedElapsedTime
  The predetermined termination time (stopping condition).
ensureDataConformance(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
  Ensures that the provided arrays fulfills the assumptions.
ensureDataConformance(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
  Ensures that the provided arrays fulfills the assumptions.
entries - Variable in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Storage for (sparse) matrix elements.
entries - Variable in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Entries of the vector.
entries - Variable in class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Storage for (sparse) matrix elements.
entries - Variable in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Entries of the vector.
entropy(long[][]) - Method in class org.apache.commons.math3.stat.inference.GTest
  Calculates the Shannon entropy for 2 Dimensional Matrix.
entropy(long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
  Calculates the Shannon entropy for a vector.
entrySetIterator() - Method in class org.apache.commons.math3.stat.Frequency
  Return an Iterator over the set of keys and values that have been added.
EPS - Static variable in class org.apache.commons.math3.linear.SingularValueDecomposition
  Relative threshold for small singular values.
eps - Variable in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
  Maximum radius of the neighborhood to be considered.
EPS_MIN - Static variable in class org.apache.commons.math3.optim.univariate.BracketFinder
  Tolerance to avoid division by zero.
EPS_MIN - Static variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Tolerance to avoid division by zero.
epsilon - Variable in class org.apache.commons.math3.distribution.PoissonDistribution
  Convergence criterion for cumulative probability.
EPSILON - Static variable in class org.apache.commons.math3.linear.EigenDecomposition
  Internally used epsilon criteria.
epsilon - Variable in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Tolerance for having a value considered zero.
epsilon - Variable in class org.apache.commons.math3.linear.SchurTransformer
  Epsilon criteria taken from JAMA code (originally was 2^-52).
epsilon - Variable in class org.apache.commons.math3.optim.linear.SimplexSolver
  Amount of error to accept for algorithm convergence.
epsilon - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
  Amount of error to accept when checking for optimality.
epsilon - Variable in class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Amount of error to accept for algorithm convergence.
epsilon - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Amount of error to accept when checking for optimality.
epsilon - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  zero tolerance
EPSILON - Static variable in class org.apache.commons.math3.util.Precision
  Largest double-precision floating-point number such that `1 + EPSILON` is numerically equal to 1.
equals(Object) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
equals(Object) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.JacobiKey
  Check if the instance represent the same key as another instance.
equals(Object) - Method in class org.apache.commons.math3.complex.Complex
  Test for the equality of two Complex objects.
equals(Object) - Method in class org.apache.commons.math3.complex.Quaternion
equals(Quaternion, double) - Method in class org.apache.commons.math3.complex.Quaternion
  Checks whether this instance is equal to another quaternion within a given tolerance.
equals(Object) - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is equal to x.
equals(Object) - Method in class org.apache.commons.math3.fraction.BigFraction
  Test for the equality of two fractions.
equals(Object) - Method in class org.apache.commons.math3.fraction.Fraction
  Test for the equality of two fractions.
equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Test for the equality of two 1D vectors.
equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Test for the equality of two 3D vectors.
equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ComparableSegment
equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Test for the equality of two 2D vectors.
equals(Object) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
equals(Object) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns true iff `object` is a `FieldMatrix` instance with the same dimensions as this and all corresponding matrix entries are equal.
equals(Object) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns true iff `object` is a `RealMatrix` instance with the same dimensions as this and all corresponding matrix entries are equal.
equals(Object) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Test for the equality of two vectors.
equals(Object) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math3.linear.RealVector
  Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
equals(Object) - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
equals(Object) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
equals(Object) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
equals(Object) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
equals(Object) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
  Deprecated.
equals(Object) - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
equals(Object) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
equals(Object) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
equals(Object) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
equals(Object) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  Returns true iff `object` is an `AbstractStorelessUnivariateStatistic` returning the same values as this for `getResult()` and `getN()`
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
  Returns true iff `object` is a `SummaryStatistics` instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns true iff `object` is a `MultivariateSummaryStatistics` instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
  Returns true iff `object` is a `StatisticalSummaryValues` instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns true iff `object` is a `SummaryStatistics` instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns true iff `object` is a `MultivariateSummaryStatistics` instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns true iff `object` is a `SummaryStatistics` instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.Frequency
equals(Object) - Method in class org.apache.commons.math3.util.BigReal
equals(Object) - Method in class org.apache.commons.math3.util.Decimal64
equals(Object) - Method in class org.apache.commons.math3.util.DefaultTransformer
equals(float[], float[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by `Precision.equals(float,float)`.
equals(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Returns `true` iff both arguments are `null` or have same dimensions and all their elements are equal as defined by `Precision.equals(double,double)`.
equals(Object) - Method in class org.apache.commons.math3.util.Pair
  Compare the specified object with this entry for equality.
equals(float, float) - Static method in class org.apache.commons.math3.util.Precision
  Returns true iff they are equal as defined by `equals(x, y, 1)`.
equals(float, float, float) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(float, float, int) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(double, double) - Static method in class org.apache.commons.math3.util.Precision
  Returns true iff they are equal as defined by `equals(x, y, 1)`.
equals(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
  Returns `true` if there is no double value strictly between the arguments or the difference between them is within the range of allowed error (inclusive).
equals(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(Object) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Returns true iff object is a ResizableDoubleArray with the same properties as this and an identical internal storage array.
equals(Object) - Method in class org.apache.commons.math3.util.TransformerMap
equalsIncludingNaN(float[], float[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by `this method`.
equalsIncludingNaN(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Returns `true` iff both arguments are `null` or have same dimensions and all their elements are equal as defined by `this method`.
equalsIncludingNaN(float, float) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are NaN or neither is NaN and they are equal as defined by `equals(x, y, 1)`.
equalsIncludingNaN(float, float, float) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are NaN or are equal or within the range of allowed error (inclusive).
equalsIncludingNaN(float, float, int) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are NaN or if they are equal as defined by `equals(x, y, maxUlps)`.
equalsIncludingNaN(double, double) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are NaN or neither is NaN and they are equal as defined by `equals(x, y, 1)`.
equalsIncludingNaN(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are NaN or are equal or within the range of allowed error (inclusive).
equalsIncludingNaN(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
  Returns true if both arguments are NaN or if they are equal as defined by `equals(x, y, maxUlps)`.
equalsWithRelativeTolerance(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
  Returns `true` if there is no double value strictly between the arguments or the reltaive difference between them is smaller or equal to the given tolerance.
equation - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE.SecondaryComponent
  Secondary differential equation.
equations - Variable in class org.apache.commons.math3.ode.FirstOrderConverter
  Underlying second order equations set.
EquationsMapper - Class in org.apache.commons.math3.ode
  Class mapping the part of a complete state or derivative that pertains to a specific differential equation.
EquationsMapper(int, int) - Constructor for class org.apache.commons.math3.ode.EquationsMapper
  simple constructor.
Erf - Class in org.apache.commons.math3.special
  This is a utility class that provides computation methods related to the error functions.
Erf() - Constructor for class org.apache.commons.math3.special.Erf
  Default constructor.
erf(double) - Static method in class org.apache.commons.math3.special.Erf
  Returns the error function.
erf(double, double) - Static method in class org.apache.commons.math3.special.Erf
  Returns the difference between erf(x1) and erf(x2).
erfc(double) - Static method in class org.apache.commons.math3.special.Erf
  Returns the complementary error function.
ERR_SCALE - Static variable in class org.apache.commons.math3.dfp.Dfp
  The amount under/overflows are scaled by before going to trap handler
errfac - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  Error coefficients for the interpolation.
errorCovariance - Variable in class org.apache.commons.math3.filter.KalmanFilter
  The error covariance matrix, equivalent to P.
eSplit - Variable in class org.apache.commons.math3.dfp.DfpField
  A two elements `Dfp` array with value e split in two pieces.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Compute the error ratio.
estimateError(double[]) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  Estimate interpolation error.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
  Compute the error ratio.
estimateErrorVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Estimates the variance of the error.
estimateRegressandVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Returns the variance of the regressand, ie Var(y).
estimateRegressandVariance() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
  Returns the variance of the regressand, ie Var(y).
estimateRegressionParameters() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Estimates the regression parameters b.
estimateRegressionParameters() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
  Estimates the regression parameters b.
estimateRegressionParametersStandardErrors() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Returns the standard errors of the regression parameters.
estimateRegressionParametersStandardErrors() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
  Returns the standard errors of the regression parameters.
estimateRegressionParametersVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionParametersVariance() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
  Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionStandardError() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Estimates the standard error of the regression.
estimateResiduals() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Estimates the residuals, ie u = y - X*b.
estimateResiduals() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
  Estimates the residuals, ie u = y - X*b.
eString - Static variable in class org.apache.commons.math3.dfp.DfpField
  High precision string representation of e.
Euclidean1D - Class in org.apache.commons.math3.geometry.euclidean.oned
  This class implements a one-dimensional space.
Euclidean1D() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
  Private constructor for the singleton.
Euclidean1D.LazyHolder - Class in org.apache.commons.math3.geometry.euclidean.oned
  Holder for the instance.
Euclidean1D.LazyHolder() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D.LazyHolder
Euclidean2D - Class in org.apache.commons.math3.geometry.euclidean.twod
  This class implements a three-dimensional space.
Euclidean2D() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
  Private constructor for the singleton.
Euclidean2D.LazyHolder - Class in org.apache.commons.math3.geometry.euclidean.twod
  Holder for the instance.
Euclidean2D.LazyHolder() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D.LazyHolder
Euclidean3D - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class implements a three-dimensional space.
Euclidean3D() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
  Private constructor for the singleton.
Euclidean3D.LazyHolder - Class in org.apache.commons.math3.geometry.euclidean.threed
  Holder for the instance.
Euclidean3D.LazyHolder() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D.LazyHolder
EuclideanDoublePoint - Class in org.apache.commons.math3.stat.clustering
  A simple implementation of `Clusterable` for points with double coordinates.
EuclideanDoublePoint(double[]) - Constructor for class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
  Build an instance wrapping an integer array.
EuclideanIntegerPoint - Class in org.apache.commons.math3.stat.clustering
  A simple implementation of `Clusterable` for points with integer coordinates.
EuclideanIntegerPoint(int[]) - Constructor for class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
  Build an instance wrapping an integer array.
EulerIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements a simple Euler integrator for Ordinary Differential Equations.
EulerIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.EulerIntegrator
  Simple constructor.
EulerStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements a linear interpolator for step.
EulerStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.EulerStepInterpolator
  Simple constructor.
EulerStepInterpolator(EulerStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.EulerStepInterpolator
  Copy constructor.
eval(UnivariateFunction, double) - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
eval(UnivariateFunction, double) - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
evaluate(DerivativeStructure, double, double[]) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Evaluate derivatives from a sample.
evaluate(double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Uses Horner's Method to evaluate the polynomial with the given coefficients at the argument.
evaluate(double[], double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Evaluate the Lagrange polynomial using Neville's Algorithm.
evaluate(double[], double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Evaluate the Newton polynomial using nested multiplication.
evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Evaluate all the non-evaluated points of the simplex.
evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Evaluate all the non-evaluated points of the simplex.
evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  This default implementation calls `AbstractStorelessUnivariateStatistic.clear()`, then invokes `AbstractStorelessUnivariateStatistic.increment(double)` in a loop over the the input array, and then uses `AbstractStorelessUnivariateStatistic.getResult()` to compute the return value.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  This default implementation calls `AbstractStorelessUnivariateStatistic.clear()`, then invokes `AbstractStorelessUnivariateStatistic.increment(double)` in a loop over the specified portion of the input array, and then uses `AbstractStorelessUnivariateStatistic.getResult()` to compute the return value.
evaluate() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Returns the result of evaluating the statistic over the stored data.
evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Returns the result of evaluating the statistic over the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Returns the geometric mean of the entries in the specified portion of the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Returns the kurtosis of the entries in the specified portion of the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Returns the arithmetic mean of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Returns the weighted arithmetic mean of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Returns the weighted arithmetic mean of the entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Returns the `SemiVariance` of the designated values against the mean, using instance properties varianceDirection and biasCorrection.
evaluate(double[], SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  This method calculates `SemiVariance` for the entire array against the mean, using the current value of the biasCorrection instance property.
evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Returns the `SemiVariance` of the designated values against the cutoff, using instance properties variancDirection and biasCorrection.
evaluate(double[], double, SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Returns the `SemiVariance` of the designated values against the cutoff in the given direction, using the current value of the biasCorrection instance property.
evaluate(double[], double, SemiVariance.Direction, boolean, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Returns the `SemiVariance` of the designated values against the cutoff in the given direction with the provided bias correction.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Returns the Skewness of the entries in the specifed portion of the input array.
evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Returns the Standard Deviation of the entries in the input array, or `Double.NaN` if the array is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Returns the Standard Deviation of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Returns the Standard Deviation of the entries in the specified portion of the input array, using the precomputed mean value.
evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Returns the Standard Deviation of the entries in the input array, using the precomputed mean value.
evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the variance of the entries in the input array, or `Double.NaN` if the array is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the variance of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the weighted variance of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the weighted variance of the entries in the the input array.
evaluate(double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the variance of the entries in the input array, using the precomputed mean value.
evaluate(double[], double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the weighted variance of the entries in the specified portion of the input array, using the precomputed weighted mean value.
evaluate(double[], double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the weighted variance of the values in the input array, using the precomputed weighted mean value.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
  Returns the maximum of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
  Returns the minimum of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Returns the result of evaluating the statistic over the stored data.
evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Returns an estimate of the `p`th percentile of the values in the `values` array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Returns an estimate of the `quantile`th percentile of the designated values in the `values` array.
evaluate(double[], int, int, double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Returns an estimate of the `p`th percentile of the values in the `values` array, starting with the element in (0-based) position `begin` in the array and including `length` values.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Returns the product of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Returns the weighted product of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Returns the weighted product of the entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  The sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  The weighted sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  The weighted sum of the entries in the the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Returns the sum of the natural logs of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Returns the sum of the squares of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
evaluate(double[]) - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
  Returns the result of evaluating the statistic over the input array.
evaluate(double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
  Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], double[]) - Method in interface org.apache.commons.math3.stat.descriptive.WeightedEvaluation
  Returns the result of evaluating the statistic over the input array, using the supplied weights.
evaluate(double[], double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.WeightedEvaluation
  Returns the result of evaluating the statistic over the specified entries in the input array, using corresponding entries in the supplied weights array.
evaluate(double) - Method in class org.apache.commons.math3.util.ContinuedFraction
  Evaluates the continued fraction at the value x.
evaluate(double, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
  Evaluates the continued fraction at the value x.
evaluate(double, int) - Method in class org.apache.commons.math3.util.ContinuedFraction
  Evaluates the continued fraction at the value x.
evaluate(double, double, int) - Method in class org.apache.commons.math3.util.ContinuedFraction
  Evaluates the continued fraction at the value x.
evaluate(double[]) - Method in interface org.apache.commons.math3.util.MathArrays.Function
  Operates on an entire array.
evaluate(double[], int, int) - Method in interface org.apache.commons.math3.util.MathArrays.Function
evaluateCompleteInterpolatedState() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Lazy evaluation of complete interpolated state.
evaluateInternal(double[], double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Evaluate the Lagrange polynomial using Neville's Algorithm.
evaluateNewSimplex(MultivariateFunction, PointValuePair[], double, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Compute and evaluate a new simplex.
evaluateNewSimplex(MultivariateFunction, PointValuePair[], double, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Compute and evaluate a new simplex.
evaluateStep(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState
  Evaluate the impact of the proposed step on the event handler.
evaluations - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  The functions evaluation count.
evaluations - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Evaluations counter.
evaluations - Variable in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Evaluations counter.
evaluations - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
  Counter for number of evaluations.
evaluations - Variable in class org.apache.commons.math3.optim.BaseOptimizer
  Evaluations counter.
evaluations - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
  Counter for function evaluations.
evaluations - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Evaluations counter.
evaluations - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Evaluations counter.
evaluations - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Evaluations counter.
evaluations - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Counter for function evaluations.
even - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
  Parity of the permutation associated with the LU decomposition.
even - Variable in class org.apache.commons.math3.linear.LUDecomposition
  Parity of the permutation associated with the LU decomposition.
EventHandler - Interface in org.apache.commons.math3.ode.events
  This interface represents a handler for discrete events triggered during ODE integration.
EventHandler.Action - Enum in org.apache.commons.math3.ode.events
  Enumerate for actions to be performed when an event occurs.
EventHandler.Action() - Constructor for enum org.apache.commons.math3.ode.events.EventHandler.Action
eventOccurred(double, double[], boolean) - Method in interface org.apache.commons.math3.ode.events.EventHandler
  Handle an event and choose what to do next.
eventsStates - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
  Events states.
EventState - Class in org.apache.commons.math3.ode.events
  This class handles the state for one `event handler` during integration steps.
EventState(EventHandler, double, double, int, UnivariateSolver) - Constructor for class org.apache.commons.math3.ode.events.EventState
  Simple constructor.
EventState.LocalMaxCountExceededException - Exception in org.apache.commons.math3.ode.events
  Local wrapper to propagate exceptions.
EventState.LocalMaxCountExceededException(MaxCountExceededException) - Constructor for exception org.apache.commons.math3.ode.events.EventState.LocalMaxCountExceededException
  Simple constructor.
evolve(Population, StoppingCondition) - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Evolve the given population.
EXACT_STIRLING_ERRORS - Static variable in class org.apache.commons.math3.distribution.SaddlePointExpansion
  exact Stirling expansion error for certain values.
exactK(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
  Calculates the exact value of `P(D_n < d)` using method described in [1] and `BigFraction` (see above).
exactLog2(int) - Static method in class org.apache.commons.math3.transform.TransformUtils
  Returns the base-2 logarithm of the specified `int`.
ExceptionContext - Class in org.apache.commons.math3.exception.util
  Class that contains the actual implementation of the functionality mandated by the `ExceptionContext` interface.
ExceptionContext(Throwable) - Constructor for class org.apache.commons.math3.exception.util.ExceptionContext
  Simple constructor.
ExceptionContextProvider - Interface in org.apache.commons.math3.exception.util
  Interface for accessing the context data structure stored in Commons Math exceptions.
exp() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Exponential.
exp(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute exponential of a derivative structure.
Exp - Class in org.apache.commons.math3.analysis.function
  Exponential function.
Exp() - Constructor for class org.apache.commons.math3.analysis.function.Exp
exp() - Method in class org.apache.commons.math3.complex.Complex
  Compute the exponential function of this complex number.
exp - Variable in class org.apache.commons.math3.dfp.Dfp
  Exponent.
exp(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Computes e to the given power.
exp - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
  Stepsize control exponent.
exp - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Stepsize control exponent.
exp(double) - Static method in class org.apache.commons.math3.util.FastMath
  Exponential function.
exp(double, double, double[]) - Static method in class org.apache.commons.math3.util.FastMath
  Internal helper method for exponential function.
EXP_FRAC_A - Static variable in class org.apache.commons.math3.util.FastMathLiteralArrays
  Exponential over the range of 0 - 1 in increments of 2^-10 exp(x/1024) = expFracTableA[x] + expFracTableB[x].
EXP_FRAC_B - Static variable in class org.apache.commons.math3.util.FastMathLiteralArrays
  Exponential over the range of 0 - 1 in increments of 2^-10 exp(x/1024) = expFracTableA[x] + expFracTableB[x].
EXP_FRAC_TABLE_A - Static variable in class org.apache.commons.math3.util.FastMath.ExpFracTable
  Exponential over the range of 0 - 1 in increments of 2^-10 exp(x/1024) = expFracTableA[x] + expFracTableB[x].
EXP_FRAC_TABLE_B - Static variable in class org.apache.commons.math3.util.FastMath.ExpFracTable
  Exponential over the range of 0 - 1 in increments of 2^-10 exp(x/1024) = expFracTableA[x] + expFracTableB[x].
EXP_FRAC_TABLE_LEN - Static variable in class org.apache.commons.math3.util.FastMath
  Exponential fractions table length.
EXP_INT_A - Static variable in class org.apache.commons.math3.util.FastMathLiteralArrays
  Exponential evaluated at integer values, exp(x) = expIntTableA[x + EXP_INT_TABLE_MAX_INDEX] + expIntTableB[x+EXP_INT_TABLE_MAX_INDEX].
EXP_INT_B - Static variable in class org.apache.commons.math3.util.FastMathLiteralArrays
  Exponential evaluated at integer values, exp(x) = expIntTableA[x + EXP_INT_TABLE_MAX_INDEX] + expIntTableB[x+EXP_INT_TABLE_MAX_INDEX]
EXP_INT_TABLE_A - Static variable in class org.apache.commons.math3.util.FastMath.ExpIntTable
  Exponential evaluated at integer values, exp(x) = expIntTableA[x + EXP_INT_TABLE_MAX_INDEX] + expIntTableB[x+EXP_INT_TABLE_MAX_INDEX].
EXP_INT_TABLE_B - Static variable in class org.apache.commons.math3.util.FastMath.ExpIntTable
  Exponential evaluated at integer values, exp(x) = expIntTableA[x + EXP_INT_TABLE_MAX_INDEX] + expIntTableB[x+EXP_INT_TABLE_MAX_INDEX]
EXP_INT_TABLE_LEN - Static variable in class org.apache.commons.math3.util.FastMath
  Length of the array of integer exponentials.
EXP_INT_TABLE_MAX_INDEX - Static variable in class org.apache.commons.math3.util.FastMath
  Index of exp(0) in the array of integer exponentials.
expand() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Expands the internal storage array using the expansion factor.
expandable - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
  Differential equations to integrate.
ExpandableStatefulODE - Class in org.apache.commons.math3.ode
  This class represents a combined set of first order differential equations, with at least a primary set of equations expandable by some sets of secondary equations.
ExpandableStatefulODE(FirstOrderDifferentialEquations) - Constructor for class org.apache.commons.math3.ode.ExpandableStatefulODE
  Build an expandable set from its primary ODE set.
ExpandableStatefulODE.SecondaryComponent - Class in org.apache.commons.math3.ode
  Components of the compound stateful ODE.
ExpandableStatefulODE.SecondaryComponent(SecondaryEquations, int) - Constructor for class org.apache.commons.math3.ode.ExpandableStatefulODE.SecondaryComponent
  Simple constructor.
expandCluster(Cluster<T>, T, List<T>, Collection<T>, Map<Clusterable<T>, DBSCANClusterer.PointStatus>) - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
  Expands the cluster to include density-reachable items.
expandTo(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Expands the internal storage array to the specified size.
expansionFactor - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
  The expansion factor of the array.
expansionMode - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
  Determines whether array expansion by `expansionFactor` is additive or multiplicative.
expected - Variable in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
  Correct dimensions.
expint(int, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
  Compute exp(p) for a integer p in extended precision.
expInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Computes e to the given power.
expm1() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Exponential minus 1.
expm1(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute exp(x) - 1 of a derivative structure.
Expm1 - Class in org.apache.commons.math3.analysis.function
  `ex-1` function.
Expm1() - Constructor for class org.apache.commons.math3.analysis.function.Expm1
expm1(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute exp(x) - 1
expm1(double, double[]) - Static method in class org.apache.commons.math3.util.FastMath
  Internal helper method for expm1
exponent - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
  Exponent parameter of the distribution.
exponent(long) - Static method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Extract the exponent from the bits of a double.
EXPONENT_MASK - Static variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Exponent bits mask.
EXPONENT_OFFSET - Static variable in class org.apache.commons.math3.util.Precision
  Exponent offset in IEEE754 representation.
exponential - Variable in class org.apache.commons.math3.distribution.PoissonDistribution
  Distribution needed for the `PoissonDistribution.sample()` method.
EXPONENTIAL_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
  Exponential random deviates with mean = μ.
EXPONENTIAL_SA_QI - Static variable in class org.apache.commons.math3.distribution.ExponentialDistribution
  Used when generating Exponential samples.
ExponentialDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the exponential distribution.
ExponentialDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
  Create an exponential distribution with the given mean.
ExponentialDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
  Create an exponential distribution with the given mean.
ExponentialDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
  Creates an exponential distribution.
exShift - Variable in class org.apache.commons.math3.linear.SchurTransformer.ShiftInfo
  Indicates an exceptional shift.
extend - Variable in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
  Number of extension points.
extractEquationData(double[], double[]) - Method in class org.apache.commons.math3.ode.EquationsMapper
  Extract equation data from a complete state or derivative array.
extractField(T[][]) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the elements type from an array.
extractField(T[]) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the elements type from an array.
extrapolate(int, int, double[][], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Extrapolate a vector.
eye(int, int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
eye(int, int) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.

## F

f - Variable in class org.apache.commons.math3.analysis.differentiation.GradientFunction
  Underlying real-valued function.
f - Variable in class org.apache.commons.math3.analysis.differentiation.JacobianFunction
  Underlying vector-valued function.
f - Variable in class org.apache.commons.math3.fitting.CurveFitter.TheoreticalValuesFunction
  Function to fit.
f - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
  Linear objective function.
f - Variable in class org.apache.commons.math3.optimization.fitting.CurveFitter.OldTheoreticalValuesFunction
  Deprecated.
  Function to fit.
f - Variable in class org.apache.commons.math3.optimization.fitting.CurveFitter.TheoreticalValuesFunction
  Deprecated.
  Function to fit.
f - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Linear objective function.
F - Variable in class org.apache.commons.math3.stat.inference.OneWayAnova.AnovaStats
  Statistic.
F_11_12 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.9166666666666666.
F_13_14 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.9285714285714286.
F_15_16 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.9375.
F_1_11 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.09090909090909091.
F_1_13 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.07692307692307693.
F_1_15 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.06666666666666667.
F_1_17 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.058823529411764705.
F_1_2 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.5.
F_1_3 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.3333333333333333.
F_1_4 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.25.
F_1_5 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.2.
F_1_7 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.14285714285714285.
F_1_9 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.1111111111111111.
F_3_4 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.75.
F_5_6 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.8333333333333334.
F_7_8 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.875.
F_9_10 - Static variable in class org.apache.commons.math3.util.FastMath
  Constant: 0.9.
FACT - Static variable in class org.apache.commons.math3.util.FastMathCalc
  Factorial table, for Taylor series expansions.
factorial(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Returns n!.
factorialDouble(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Compute n!, the factorial of `n` (the product of the numbers 1 to n), as a `double`.
factorialLog(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Compute the natural logarithm of the factorial of `n`.
FACTORIALS - Static variable in class org.apache.commons.math3.util.ArithmeticUtils
  All long-representable factorials
FACTORY - Static variable in class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
  Factory that computes the points and weights.
FastCosineTransformer - Class in org.apache.commons.math3.transform
  Implements the Fast Cosine Transform for transformation of one-dimensional real data sets.
FastCosineTransformer(DctNormalization) - Constructor for class org.apache.commons.math3.transform.FastCosineTransformer
  Creates a new instance of this class, with various normalization conventions.
FastFourierTransformer - Class in org.apache.commons.math3.transform
  Implements the Fast Fourier Transform for transformation of one-dimensional real or complex data sets.
FastFourierTransformer(DftNormalization) - Constructor for class org.apache.commons.math3.transform.FastFourierTransformer
  Creates a new instance of this class, with various normalization conventions.
FastFourierTransformer.MultiDimensionalComplexMatrix - Class in org.apache.commons.math3.transform
  Deprecated.
  see MATH-736
FastFourierTransformer.MultiDimensionalComplexMatrix(Object) - Constructor for class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
  Deprecated.
  Simple constructor.
FastHadamardTransformer - Class in org.apache.commons.math3.transform
  Implements the Fast Hadamard Transform (FHT).
FastHadamardTransformer() - Constructor for class org.apache.commons.math3.transform.FastHadamardTransformer
FastMath - Class in org.apache.commons.math3.util
  Faster, more accurate, portable alternative to `Math` and `StrictMath` for large scale computation.
FastMath() - Constructor for class org.apache.commons.math3.util.FastMath
  Private Constructor
FastMath.CodyWaite - Class in org.apache.commons.math3.util
  Enclose the Cody/Waite reduction (used in "sin", "cos" and "tan").
FastMath.CodyWaite(double) - Constructor for class org.apache.commons.math3.util.FastMath.CodyWaite
FastMath.ExpFracTable - Class in org.apache.commons.math3.util
  Enclose large data table in nested static class so it's only loaded on first access.
FastMath.ExpFracTable() - Constructor for class org.apache.commons.math3.util.FastMath.ExpFracTable
FastMath.ExpIntTable - Class in org.apache.commons.math3.util
  Enclose large data table in nested static class so it's only loaded on first access.
FastMath.ExpIntTable() - Constructor for class org.apache.commons.math3.util.FastMath.ExpIntTable
FastMath.lnMant - Class in org.apache.commons.math3.util
  Enclose large data table in nested static class so it's only loaded on first access.
FastMath.lnMant() - Constructor for class org.apache.commons.math3.util.FastMath.lnMant
FastMathCalc - Class in org.apache.commons.math3.util
  Class used to compute the classical functions tables.
FastMathCalc() - Constructor for class org.apache.commons.math3.util.FastMathCalc
  Private Constructor.
FastMathLiteralArrays - Class in org.apache.commons.math3.util
  Utility class for loading tabulated data used by `FastMath`.
FastMathLiteralArrays() - Constructor for class org.apache.commons.math3.util.FastMathLiteralArrays
  Class contains only static methods.
FastSineTransformer - Class in org.apache.commons.math3.transform
  Implements the Fast Sine Transform for transformation of one-dimensional real data sets.
FastSineTransformer(DstNormalization) - Constructor for class org.apache.commons.math3.transform.FastSineTransformer
  Creates a new instance of this class, with various normalization conventions.
fAtInterpolationPoints - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Values of the objective function at the interpolation points.
fAtInterpolationPoints - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Values of the objective function at the interpolation points.
fct(double[]) - Method in class org.apache.commons.math3.transform.FastCosineTransformer
  Perform the FCT algorithm (including inverse).
FDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the F-distribution.
FDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
  Creates an F distribution using the given degrees of freedom.
FDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
  Creates an F distribution using the given degrees of freedom and inverse cumulative probability accuracy.
FDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
  Creates an F distribution.
fHi - Variable in exception org.apache.commons.math3.exception.NoBracketingException
  Value at higher end of the interval.
fHi - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
  Function value at `BracketFinder.hi`.
fHi - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Function value at `BracketFinder.hi`.
fht(double[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
  The FHT (Fast Hadamard Transformation) which uses only subtraction and addition.
fht(int[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
  Returns the forward transform of the specified integer data set.
field - Variable in class org.apache.commons.math3.dfp.Dfp
  Factory building similar Dfp's.
Field<T> - Interface in org.apache.commons.math3
  Interface representing a field.
field - Variable in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Field to which the elements belong.
field - Variable in class org.apache.commons.math3.linear.ArrayFieldVector
  Field to which the elements belong.
field - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
  Field to which the elements belong.
field - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
  Field to which the elements belong.
field - Variable in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Field to which the elements belong.
field - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Field to which the elements belong.
FieldDecompositionSolver<T extends FieldElement<T>> - Interface in org.apache.commons.math3.linear
  Interface handling decomposition algorithms that can solve A × X = B.
FieldElement<T> - Interface in org.apache.commons.math3
  Interface representing field elements.
FieldLUDecomposition<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Calculates the LUP-decomposition of a square matrix.
FieldLUDecomposition(FieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.FieldLUDecomposition
  Calculates the LU-decomposition of the given matrix.
FieldLUDecomposition.Solver<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Specialized solver.
FieldLUDecomposition.Solver(Field<T>, T[][], int[], boolean) - Constructor for class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
  Build a solver from decomposed matrix.
FieldMatrix<T extends FieldElement<T>> - Interface in org.apache.commons.math3.linear
  Interface defining field-valued matrix with basic algebraic operations.
FieldMatrixChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear
  Interface defining a visitor for matrix entries.
FieldMatrixPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear
  Interface defining a visitor for matrix entries.
FieldVector<T extends FieldElement<T>> - Interface in org.apache.commons.math3.linear
  Interface defining a field-valued vector with basic algebraic operations.
FILE_CHARSET - Static variable in class org.apache.commons.math3.random.EmpiricalDistribution
  Character set for file input
filePointer - Variable in class org.apache.commons.math3.random.ValueServer
  File pointer for REPLAY_MODE.
fill(double[]) - Method in class org.apache.commons.math3.random.ValueServer
  Fills the input array with values generated using getNext() repeatedly.
fill(int) - Method in class org.apache.commons.math3.random.ValueServer
  Returns an array of length `length` with values generated using getNext() repeatedly.
fill(double[], List<Integer>, double) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
  Sets`data[i] = value` for each i in `tiesTrace.`
fillBinStats(EmpiricalDistribution.DataAdapter) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Fills binStats array (second pass through data file).
fillNewArray(int, double) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Creates a new array.
fillNewArray(int, double) - Static method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Creates a new array.
filterStep(double, boolean, boolean) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Filter the integration step.
finalized - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  indicate if the step has been finalized or not.
finalizeStep() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Finalize the step.
finalK - Variable in class org.apache.commons.math3.util.FastMath.CodyWaite
  k
finalRemA - Variable in class org.apache.commons.math3.util.FastMath.CodyWaite
  remA
finalRemB - Variable in class org.apache.commons.math3.util.FastMath.CodyWaite
  remB
finalTime - Variable in class org.apache.commons.math3.ode.ContinuousOutputModel
  Final integration time.
findBin(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Returns the index of the bin to which the given value belongs
findEigenVectors(double[][]) - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Find eigenvalues and eigenvectors (Dubrulle et al., 1971)
findEigenVectorsFromSchur(SchurTransformer) - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Find eigenvectors from a matrix transformed to Schur form.
findInsertionIndex(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Find the index at which a key should be inserted
findInsertionIndex(int[], byte[], int, int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Find the index at which a key should be inserted
findInsertionIndex(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Find the index at which a key should be inserted
findInsertionIndex(int[], byte[], int, int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Find the index at which a key should be inserted
findMaxY(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
  Finds index of point in specified points with the largest Y.
findMaxY(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
  Deprecated.
  Finds index of point in specified points with the largest Y.
findSameChromosome(Population) - Method in class org.apache.commons.math3.genetics.Chromosome
  Searches the `population` for another chromosome with the same representation.
findSmallSubDiagonalElement(int, double) - Method in class org.apache.commons.math3.linear.SchurTransformer
  Find the first small sub-diagonal element and returns its index.
findUpperBound(UnivariateFunction, double, double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Finds the upper bound b ensuring bracketing of a root between a and b.
findUpperBound(UnivariateFunction, double, double) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  Find the upper bound b ensuring bracketing of a root between a and b.
FINITE - Static variable in class org.apache.commons.math3.dfp.Dfp
  Indicator value for normal finite numbers.
FiniteDifferencesDifferentiator - Class in org.apache.commons.math3.analysis.differentiation
  Univariate functions differentiator using finite differences.
FiniteDifferencesDifferentiator(int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Build a differentiator with number of points and step size when independent variable is unbounded.
FiniteDifferencesDifferentiator(int, double, double, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Build a differentiator with number of points and step size when independent variable is bounded.
fireInitializationEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
  Informs all registered listeners that the initial phase (prior to the main iteration loop) has been completed.
fireIterationPerformedEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
  Informs all registered listeners that a new iteration (in the main iteration loop) has been performed.
fireIterationStartedEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
  Informs all registered listeners that a new iteration (in the main iteration loop) has been started.
fireTerminationEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
  Informs all registered listeners that the final phase (post-iterations) has been completed.
first - Variable in class org.apache.commons.math3.genetics.ChromosomePair
  the first chromosome in the pair.
first - Variable in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
  Whether the first point should be passed to the underlying fixed step size step handler.
firstIncluded() - Method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
  Returns a value indicating whether the first point should be passed to the underlying fixed step size step handler.
firstIndex - Variable in class org.apache.commons.math3.ode.EquationsMapper
  Index of the first equation element in complete state arrays.
firstIntersection(Vector3D, Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Get the first sub-hyperplane crossed by a semi-infinite line.
FirstMoment - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes the first moment (arithmetic mean).
FirstMoment() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
  Create a FirstMoment instance
FirstMoment(FirstMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
  Copy constructor, creates a new `FirstMoment` identical to the `original`
FirstOrderConverter - Class in org.apache.commons.math3.ode
  This class converts second order differential equations to first order ones.
FirstOrderConverter(SecondOrderDifferentialEquations) - Constructor for class org.apache.commons.math3.ode.FirstOrderConverter
  Simple constructor.
FirstOrderDifferentialEquations - Interface in org.apache.commons.math3.ode
  This interface represents a first order differential equations set.
FirstOrderIntegrator - Interface in org.apache.commons.math3.ode
  This interface represents a first order integrator for differential equations.
firstTime - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
  First step time.
fit(T, double[]) - Method in class org.apache.commons.math3.fitting.CurveFitter
  Fit a curve.
fit(int, T, double[]) - Method in class org.apache.commons.math3.fitting.CurveFitter
  Fit a curve.
fit(double[]) - Method in class org.apache.commons.math3.fitting.GaussianFitter
  Fits a Gaussian function to the observed points.
fit() - Method in class org.apache.commons.math3.fitting.GaussianFitter
  Fits a Gaussian function to the observed points.
fit(double[]) - Method in class org.apache.commons.math3.fitting.HarmonicFitter
  Fit an harmonic function to the observed points.
fit() - Method in class org.apache.commons.math3.fitting.HarmonicFitter
  Fit an harmonic function to the observed points.
fit(int, double[]) - Method in class org.apache.commons.math3.fitting.PolynomialFitter
  Get the coefficients of the polynomial fitting the weighted data points.
fit(double[]) - Method in class org.apache.commons.math3.fitting.PolynomialFitter
  Get the coefficients of the polynomial fitting the weighted data points.
fit(T, double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Fit a curve.
fit(int, T, double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Fit a curve.
fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter
  Deprecated.
  Fits a Gaussian function to the observed points.
fit() - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter
  Deprecated.
  Fits a Gaussian function to the observed points.
fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter
  Deprecated.
  Fit an harmonic function to the observed points.
fit() - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter
  Deprecated.
  Fit an harmonic function to the observed points.
fit() - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
  Deprecated.
  Since 3.1 (to be removed in 4.0). Please use `PolynomialFitter.fit(double[])` instead.
fit(int, double[]) - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
  Deprecated.
  Get the coefficients of the polynomial fitting the weighted data points.
fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
  Deprecated.
  Get the coefficients of the polynomial fitting the weighted data points.
fitness - Variable in class org.apache.commons.math3.genetics.Chromosome
  Cached value of the fitness of this chromosome.
Fitness - Interface in org.apache.commons.math3.genetics
  Fitness of a chromosome.
fitness() - Method in interface org.apache.commons.math3.genetics.Fitness
  Compute the fitness.
fitnessHistory - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  History queue of best values.
fitnessHistory - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  History queue of best values.
fitToCell(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Fit a sub-hyperplane inside the cell defined by the instance.
fix1stArgument(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Creates a unary function by fixing the first argument of a binary function.
fix2ndArgument(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Creates a unary function by fixing the second argument of a binary function.
FixedElapsedTime - Class in org.apache.commons.math3.genetics
  Stops after a fixed amount of time has elapsed.
FixedElapsedTime(long) - Constructor for class org.apache.commons.math3.genetics.FixedElapsedTime
  Create a new `FixedElapsedTime` instance.
FixedElapsedTime(long, TimeUnit) - Constructor for class org.apache.commons.math3.genetics.FixedElapsedTime
  Create a new `FixedElapsedTime` instance.
FixedGenerationCount - Class in org.apache.commons.math3.genetics
  Stops after a fixed number of generations.
FixedGenerationCount(int) - Constructor for class org.apache.commons.math3.genetics.FixedGenerationCount
  Create a new FixedGenerationCount instance.
FixedStepHandler - Interface in org.apache.commons.math3.ode.sampling
  This interface represents a handler that should be called after each successful fixed step.
FLAG_DIV_ZERO - Static variable in class org.apache.commons.math3.dfp.DfpField
  IEEE 854-1987 flag for division by zero.
FLAG_INEXACT - Static variable in class org.apache.commons.math3.dfp.DfpField
  IEEE 854-1987 flag for inexact result.
FLAG_INVALID - Static variable in class org.apache.commons.math3.dfp.DfpField
  IEEE 854-1987 flag for invalid operation.
FLAG_OVERFLOW - Static variable in class org.apache.commons.math3.dfp.DfpField
  IEEE 854-1987 flag for overflow.
FLAG_UNDERFLOW - Static variable in class org.apache.commons.math3.dfp.DfpField
  IEEE 854-1987 flag for underflow.
flatten(Object[]) - Static method in class org.apache.commons.math3.exception.util.ArgUtils
  Transform a multidimensional array into a one-dimensional list.
fLo - Variable in exception org.apache.commons.math3.exception.NoBracketingException
  Value at lower end of the interval.
fLo - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
  Function value at `BracketFinder.lo`.
fLo - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Function value at `BracketFinder.lo`.
floatValue() - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction as a `float`.
floatValue() - Method in class org.apache.commons.math3.fraction.Fraction
  Gets the fraction as a `float`.
floatValue() - Method in class org.apache.commons.math3.util.Decimal64
  The current implementation performs casting to a `float`.
floor() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the largest whole number smaller than instance.
Floor - Class in org.apache.commons.math3.analysis.function
  `floor` function.
Floor() - Constructor for class org.apache.commons.math3.analysis.function.Floor
floor() - Method in class org.apache.commons.math3.dfp.Dfp
  Round to an integer using the round floor mode.
floor(double) - Static method in class org.apache.commons.math3.util.FastMath
  Get the largest whole number smaller than x.
fMid - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
  Function value at `BracketFinder.mid`.
fMid - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Function value at `BracketFinder.mid`.
fode - Variable in class org.apache.commons.math3.ode.ParameterizedWrapper
  Basic FODE without parameter.
fode - Variable in class org.apache.commons.math3.ode.ParameterJacobianWrapper
  Main ODE set.
followLoop(AVLTree<PolygonsSet.ComparableSegment>.Node, AVLTree<PolygonsSet.ComparableSegment>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Follow a boundary loop.
forceSide(int, UnivariateFunction, BracketedUnivariateSolver<UnivariateFunction>, double, double, double, AllowedSolution) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Force a root found by a non-bracketing solver to lie on a specified side, as if the solver was a bracketing one.
format(Complex) - Method in class org.apache.commons.math3.complex.ComplexFormat
  This method calls `ComplexFormat.format(Object,StringBuffer,FieldPosition)`.
format(Double) - Method in class org.apache.commons.math3.complex.ComplexFormat
  This method calls `ComplexFormat.format(Object,StringBuffer,FieldPosition)`.
format(Complex, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
  Formats a `Complex` object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
  Formats a object to produce a string.
format(double, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.AbstractFormat
  Formats a double value as a fraction and appends the result to a StringBuffer.
format(long, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.AbstractFormat
  Formats a long value as a fraction and appends the result to a StringBuffer.
format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
  Formats a `BigFraction` object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
  Formats an object and appends the result to a StringBuffer.
format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
  Formats a `Fraction` object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
  Formats an object and appends the result to a StringBuffer.
format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
  Formats a `BigFraction` object to produce a string.
format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
  Formats a `Fraction` object to produce a string.
format(Vector<Euclidean1D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Formats a `Vector` object to produce a string.
format(Vector<Euclidean3D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Formats a `Vector3D` object to produce a string.
format(Vector<Euclidean2D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Formats a `Vector` object to produce a string.
format - Variable in class org.apache.commons.math3.geometry.VectorFormat
  The format used for components.
format(Vector<S>) - Method in class org.apache.commons.math3.geometry.VectorFormat
  Formats a `Vector` object to produce a string.
format(Vector<S>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
  Formats a `Vector` object to produce a string.
format(StringBuffer, FieldPosition, double...) - Method in class org.apache.commons.math3.geometry.VectorFormat
  Formats the coordinates of a `Vector` to produce a string.
format - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
  The format used for components.
format(RealMatrix) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  This method calls `RealMatrixFormat.format(RealMatrix,StringBuffer,FieldPosition)`.
format(RealMatrix, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Formats a `RealMatrix` object to produce a string.
format - Variable in class org.apache.commons.math3.linear.RealVectorFormat
  The format used for components.
format(RealVector) - Method in class org.apache.commons.math3.linear.RealVectorFormat
  This method calls `RealVectorFormat.format(RealVector,StringBuffer,FieldPosition)`.
format(RealVector, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.linear.RealVectorFormat
  Formats a `RealVector` object to produce a string.
format(double) - Static method in class org.apache.commons.math3.util.FastMathCalc
  Format a double.
formatBigFraction(BigFraction) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
  This static method calls formatBigFraction() on a default instance of BigFractionFormat.
formatDouble(double, NumberFormat, StringBuffer, FieldPosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
  Formats a double value to produce a string.
formatFraction(Fraction) - Static method in class org.apache.commons.math3.fraction.FractionFormat
  This static method calls formatFraction() on a default instance of FractionFormat.
formatImaginary(double, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
  Format the absolute value of the imaginary part.
forward - Variable in class org.apache.commons.math3.ode.ContinuousOutputModel
  Integration direction indicator.
forward - Variable in class org.apache.commons.math3.ode.events.EventState
  Integration direction.
forward - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  integration direction.
forward - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
  Integration direction indicator.
FOUR_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "4/5".
FOUR_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "4/5".
FourthMoment - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes a statistic related to the Fourth Central Moment.
FourthMoment() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
  Create a FourthMoment instance
FourthMoment(FourthMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
  Copy constructor, creates a new `FourthMoment` identical to the `original`
Fraction - Class in org.apache.commons.math3.fraction
  Representation of a rational number.
Fraction(double) - Constructor for class org.apache.commons.math3.fraction.Fraction
  Create a fraction given the double value.
Fraction(double, double, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
  Create a fraction given the double value and maximum error allowed.
Fraction(double, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
  Create a fraction given the double value and maximum denominator.
Fraction(double, double, int, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
  Create a fraction given the double value and either the maximum error allowed or the maximum number of denominator digits.
Fraction(int) - Constructor for class org.apache.commons.math3.fraction.Fraction
  Create a fraction from an int.
Fraction(int, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
  Create a fraction given the numerator and denominator.
FractionConversionException - Exception in org.apache.commons.math3.fraction
  Error thrown when a double value cannot be converted to a fraction in the allowed number of iterations.
FractionConversionException(double, int) - Constructor for exception org.apache.commons.math3.fraction.FractionConversionException
  Constructs an exception with specified formatted detail message.
FractionConversionException(double, long, long) - Constructor for exception org.apache.commons.math3.fraction.FractionConversionException
  Constructs an exception with specified formatted detail message.
FractionField - Class in org.apache.commons.math3.fraction
  Representation of the fractional numbers field.
FractionField() - Constructor for class org.apache.commons.math3.fraction.FractionField
  Private constructor for the singleton.
FractionField.LazyHolder - Class in org.apache.commons.math3.fraction
  Holder for the instance.
FractionField.LazyHolder() - Constructor for class org.apache.commons.math3.fraction.FractionField.LazyHolder
FractionFormat - Class in org.apache.commons.math3.fraction
  Formats a Fraction number in proper format or improper format.
FractionFormat() - Constructor for class org.apache.commons.math3.fraction.FractionFormat
  Create an improper formatting instance with the default number format for the numerator and denominator.
FractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.FractionFormat
  Create an improper formatting instance with a custom number format for both the numerator and denominator.
FractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.FractionFormat
  Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
fractionMatrixToRealMatrix(FieldMatrix<Fraction>) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Convert a `FieldMatrix`/`Fraction` matrix to a `RealMatrix`.
FREE - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Status indicator for free table entries.
FREE - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Status indicator for free table entries.
freqTable - Variable in class org.apache.commons.math3.stat.Frequency
  underlying collection
Frequency - Class in org.apache.commons.math3.stat
  Maintains a frequency distribution.
Frequency() - Constructor for class org.apache.commons.math3.stat.Frequency
  Default constructor.
Frequency(Comparator<?>) - Constructor for class org.apache.commons.math3.stat.Frequency
  Constructor allowing values Comparator to be specified.
Frequency.NaturalComparator<T extends java.lang.Comparable<T>> - Class in org.apache.commons.math3.stat
  A Comparator that compares comparable objects using the natural order.
Frequency.NaturalComparator() - Constructor for class org.apache.commons.math3.stat.Frequency.NaturalComparator
fsal - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Indicator for fsal methods.
fst(double[]) - Method in class org.apache.commons.math3.transform.FastSineTransformer
  Perform the FST algorithm (including inverse).
FULL - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Status indicator for full table entries.
FULL - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Status indicator for full table entries.
function - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Function to integrate.
function - Variable in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
  Function to solve.
function - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Function to solve.
function - Variable in class org.apache.commons.math3.optim.linear.LinearOptimizer
  Linear objective function.
function - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
  Underlying vectorial function.
function - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
  Objective function.
function - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction
  Function to be optimized.
function - Variable in class org.apache.commons.math3.optim.univariate.UnivariateObjectiveFunction
  Function to be optimized.
function - Variable in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
  Objective function.
function - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Objective function.
function - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Objective function.
function - Variable in class org.apache.commons.math3.optimization.LeastSquaresConverter
  Deprecated.
  Underlying vectorial function.
function - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Linear objective function.
function - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Function to optimize.
functionDerivative - Variable in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
  Deprecated.
  Derivative of the function to solve.
FunctionUtils - Class in org.apache.commons.math3.analysis
  Utilities for manipulating function objects.
FunctionUtils() - Constructor for class org.apache.commons.math3.analysis.FunctionUtils
  Class only contains static methods.
functionValueAccuracy - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Function value accuracy.
functionValueAccuracy - Variable in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Function value accuracy.

## G

g(double, double[]) - Method in interface org.apache.commons.math3.ode.events.EventHandler
  Compute the value of the switching function.
g(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
  Computes the G statistic for Goodness of Fit comparing `observed` and `expected` frequency counts.
g(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
g0 - Variable in class org.apache.commons.math3.ode.events.EventState
  Value of the events handler at the beginning of the step.
g0Positive - Variable in class org.apache.commons.math3.ode.events.EventState
  Simulated sign of g0 (we cheat when crossing events).
G_TEST - Static variable in class org.apache.commons.math3.stat.inference.TestUtils
  Singleton G-Test instance.
gamma - Variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Internal Gamma distribution.
gamma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Contraction coefficient.
gamma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Contraction coefficient.
gamma - Variable in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Contraction coefficient.
gamma - Variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Contraction coefficient.
Gamma - Class in org.apache.commons.math3.special
  This is a utility class that provides computation methods related to the Γ (Gamma) family of functions.
Gamma() - Constructor for class org.apache.commons.math3.special.Gamma
  Default constructor.
GAMMA - Static variable in class org.apache.commons.math3.special.Gamma
  Euler-Mascheroni constant
gamma(double) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the value of Γ(x).
GammaDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the Gamma distribution.
GammaDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
  Creates a new gamma distribution with specified values of the shape and scale parameters.
GammaDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
  Creates a new gamma distribution with specified values of the shape and scale parameters.
GammaDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
  Creates a Gamma distribution.
gammaZeta - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of gamma[k] * zeta[k].
Gaussian - Class in org.apache.commons.math3.analysis.function
  Gaussian function.
Gaussian(double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
  Gaussian with given normalization factor, mean and standard deviation.
Gaussian(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
  Normalized gaussian with given mean and standard deviation.
Gaussian() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
  Normalized gaussian with zero mean and unit standard deviation.
Gaussian.Parametric - Class in org.apache.commons.math3.analysis.function
  Parametric function where the input array contains the parameters of the Gaussian, ordered as follows: Norm Mean Standard deviation
Gaussian.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian.Parametric
GAUSSIAN_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
  Gaussian random deviates with mean = μ, std dev = σ.
GaussianFitter - Class in org.apache.commons.math3.fitting
  Fits points to a `Gaussian` function.
GaussianFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter
  Constructs an instance using the specified optimizer.
GaussianFitter - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
  As of 3.1 (to be removed in 4.0).
GaussianFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.GaussianFitter
  Deprecated.
  Constructs an instance using the specified optimizer.
GaussianFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
  Guesses the parameters `norm`, `mean`, and `sigma` of a `Gaussian.Parametric` based on the specified observed points.
GaussianFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
  Constructs instance with the specified observed points.
GaussianFitter.ParameterGuesser - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
  Guesses the parameters `norm`, `mean`, and `sigma` of a `Gaussian.Parametric` based on the specified observed points.
GaussianFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
  Deprecated.
  Constructs instance with the specified observed points.
GaussianRandomGenerator - Class in org.apache.commons.math3.random
  This class is a gaussian normalized random generator for scalars.
GaussianRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.GaussianRandomGenerator
  Create a new generator.
GaussIntegrator - Class in org.apache.commons.math3.analysis.integration.gauss
  Class that implements the Gaussian rule for `integrating` a weighted function.
GaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
  Creates an integrator from the given `points` and `weights`.
GaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
  Creates an integrator from the given pair of points (first element of the pair) and weights (second element of the pair.
GaussIntegratorFactory - Class in org.apache.commons.math3.analysis.integration.gauss
  Class that provides different ways to compute the nodes and weights to be used by the `Gaussian integration rule`.
GaussIntegratorFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
GaussNewtonOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
  Gauss-Newton least-squares solver.
GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
  Simple constructor with default settings.
GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
GaussNewtonOptimizer - Class in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
GaussNewtonOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
  Deprecated.
  See `SimpleVectorValueChecker.SimpleVectorValueChecker()`
GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
  Deprecated.
  Simple constructor with default settings.
GaussNewtonOptimizer(boolean) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
  Deprecated.
  See `SimpleVectorValueChecker.SimpleVectorValueChecker()`
GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
  Deprecated.
gbar - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of gbar[k].
gcd(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Computes the greatest common divisor of the absolute value of two numbers, using a modified version of the "binary gcd" method.
gcd(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Gets the greatest common divisor of the absolute value of two numbers, using the "binary gcd" method which avoids division and modulo operations.
gcdPositive(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Computes the greatest common divisor of two positive numbers (this precondition is not checked and the result is undefined if not fulfilled) using the "binary gcd" method which avoids division and modulo operations.
gDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
  Computes a G (Log-Likelihood Ratio) two sample test statistic for independence comparing frequency counts in `observed1` and `observed2`.
gDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
generalizedHarmonic(int, double) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Calculates the Nth generalized harmonic number.
generate(int) - Method in interface org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.RecurrenceCoefficientsGenerator
  Generate recurrence coefficients.
generateStatistics - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Indicates whether statistic data is collected.
generateStatistics - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Indicates whether statistic data is collected.
generationsEvolved - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
  the number of generations evolved to reach `StoppingCondition` in the last run.
generator - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Random generator for multi-start.
generator - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Random generator for multi-start.
generator - Variable in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Random generator for multi-start.
generator - Variable in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Random generator for multi-start.
generator - Variable in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Random generator for multi-start.
generator - Variable in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Underlying generator.
generator - Variable in class org.apache.commons.math3.random.GaussianRandomGenerator
  Underlying generator.
generator - Variable in class org.apache.commons.math3.random.StableRandomGenerator
  Underlying generator.
generator - Variable in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
  Underlying scalar generator.
generator - Variable in class org.apache.commons.math3.random.UniformRandomGenerator
  Underlying generator.
GeneticAlgorithm - Class in org.apache.commons.math3.genetics
  Implementation of a genetic algorithm.
GeneticAlgorithm(CrossoverPolicy, double, MutationPolicy, double, SelectionPolicy) - Constructor for class org.apache.commons.math3.genetics.GeneticAlgorithm
  Create a new genetic algorithm.
geoMean - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  geoMean of values that have been added
geoMeanImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Geometric mean statistic implementation - can be reset by setter.
geoMeanImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Geometric mean statistic implementation - can be reset by setter.
GEOMETRIC_MEAN - Static variable in class org.apache.commons.math3.stat.StatUtils
  geometric mean
GeometricMean - Class in org.apache.commons.math3.stat.descriptive.moment
  Returns the geometric mean of the available values.
GeometricMean() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Create a GeometricMean instance
GeometricMean(GeometricMean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Copy constructor, creates a new `GeometricMean` identical to the `original`
GeometricMean(SumOfLogs) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Create a GeometricMean instance using the given SumOfLogs instance
geometricMean(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the geometric mean of the entries in the input array, or `Double.NaN` if the array is empty.
geometricMean(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the geometric mean of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
geometricMeanImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Geometric mean statistic implementation - can be reset by setter.
get(int...) - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
  Deprecated.
  Get a matrix element.
get(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Get the stored value associated with the given key
get(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Get the stored value associated with the given key
getA(int, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
  Access the n-th a coefficient of the continued fraction.
getA1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Get the axis of the first rotation.
getA2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Get the axis of the second rotation.
getA3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Get the axis of the second rotation.
getAbscissa(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Get the abscissa of a point with respect to the line.
getAbsoluteAccuracy() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Get the actual absolute accuracy.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
  Get the actual absolute accuracy.
getAbsoluteAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Get the absolute accuracy of the solver.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Get the absolute accuracy of the solver.
getAbsoluteAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Get the absolute accuracy.
getAbsoluteThreshold() - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
getAbsoluteThreshold() - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
  Deprecated.
getAdjustedRSquared() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the adjusted R-squared statistic, defined by the formula
getAllDerivatives() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get all partial derivatives.
getAlpha() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Access the first shape parameter, `alpha`.
getAlpha() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Deprecated.
  as of version 3.1, `GammaDistribution.getShape()` should be preferred. This method will be removed in version 4.0.
getAlpha() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the azimuth of the vector.
getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the angle of the rotation.
getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get the angle of the line.
getAngles(RotationOrder) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the Cardan or Euler angles corresponding to the instance.
getArgument() - Method in class org.apache.commons.math3.complex.Complex
  Compute the argument of this complex number.
getArgument() - Method in exception org.apache.commons.math3.exception.MathIllegalNumberException
getArity() - Method in class org.apache.commons.math3.genetics.TournamentSelection
  Gets the arity (number of chromosomes drawn to the tournament).
getArray() - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
  Deprecated.
  Get the underlying storage array.
getArrayRef() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Provides direct access to the internal storage array.
getArtificialVariableOffset() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get the offset of the first artificial variable.
getArtificialVariableOffset() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get the offset of the first artificial variable.
getAttribute() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Get the attribute associated with the instance.
getAvailableLocales() - Static method in class org.apache.commons.math3.complex.ComplexFormat
  Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
  Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math3.fraction.FractionFormat
  Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math3.geometry.VectorFormat
  Get the set of locales for which point/vector formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the set of locales for which real vectors formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math3.linear.RealVectorFormat
  Get the set of locales for which real vectors formats are available.
getAxis() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the normalized axis of the rotation.
getB() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
  Returns the bi-diagonal matrix B of the transform.
getB(int, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
  Access the n-th b coefficient of the continued fraction.
getBarycenter() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Get the barycenter of the interval.
getBarycenter() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Get the barycenter of the instance.
getBarycenter() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Get the barycenter of the instance.
getBasicRow(int) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Checks whether the given column is basic.
getBasicRow(int) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Checks whether the given column is basic.
getBeta() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Access the second shape parameter, `beta`.
getBeta() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Deprecated.
  as of version 3.1, `GammaDistribution.getScale()` should be preferred. This method will be removed in version 4.0.
getBinCount() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Returns the number of bins.
getBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Returns a List of `SummaryStatistics` instances containing statistics describing the values in each of the bins.
getBit(int, int) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Get a bit from the mantissa of a double.
getBoundarySize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Get the size of the boundary.
getBoundarySize() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Get the size of the boundary.
getBoundIsAllowed() - Method in exception org.apache.commons.math3.exception.NumberIsTooLargeException
getBoundIsAllowed() - Method in exception org.apache.commons.math3.exception.NumberIsTooSmallException
getBracketingStep() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
  Gets the initial step.
getCapacity() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Gets the currently allocated size of the internal data structure used for storing elements.
getCell(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Get the cell to which a point belongs.
getCenter() - Method in class org.apache.commons.math3.stat.clustering.Cluster
  Get the point chosen to be the center of this cluster.
getCenters() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Returns a copy of the centers array.
getCheck() - Method in class org.apache.commons.math3.linear.ConjugateGradient
  Returns `true` if positive-definiteness should be checked for both matrix and preconditioner.
getCheck() - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns `true` if symmetry of the matrix, and symmetry as well as positive definiteness of the preconditioner should be checked.
getChiSquare() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Get a Chi-Square-like value assuming the N residuals follow N distinct normal distributions centered on 0 and whose variances are the reciprocal of the weights.
getChiSquare() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Get a Chi-Square-like value assuming the N residuals follow N distinct normal distributions centered on 0 and whose variances are the reciprocal of the weights.
getChromosomeList() - Method in class org.apache.commons.math3.genetics.ListPopulation
  Access the list of chromosomes.
getChromosomes() - Method in class org.apache.commons.math3.genetics.ListPopulation
  Returns an unmodifiable list of the chromosomes in this population.
getCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
getCoefficients() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
  Gets the coefficients of the constraint (left hand side).
getCoefficients() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
  Gets the coefficients of the linear equation being optimized.
getCoefficients() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Get the coefficients of the constraint (left hand side).
getCoefficients() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
  Get the coefficients of the linear equation being optimized.
getColumn(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the entries in column number `col` as an array.
getColumn(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Get the entries at the given column index as an array.
getColumn(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Get the entries in column number `col` as an array.
getColumn(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Get the entries at the given column index as an array.
getColumn(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get the entries in column number `col` as an array.
getColumn() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
getColumn() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
getColumn(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Get the entries at the given column index as an array.
getColumnDimension() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the number of columns of this matrix.
getColumnDimension() - Method in interface org.apache.commons.math3.linear.AnyMatrix
  Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns the number of columns of this matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the number of columns of this matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
  Returns the dimension of the domain of this operator.
getColumnDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Returns the number of columns of this matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.RealLinearOperator
  Returns the dimension of the domain of this operator.
getColumnDimension() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Returns the number of columns in the matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the entries in column number `column` as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Get the entries at the given column index as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Get the entries in column number `column` as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Get the entries at the given column index as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get the entries in column number `column` as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Get the entries at the given column index as a column matrix.
getColumnSeparator() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the format separator between components.
getColumnVector(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the entries in column number `column` as a vector.
getColumnVector(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Get the entries at the given column index as a vector.
getColumnVector(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the entries in column number `column` as a vector.
getColumnVector(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Get the entries at the given column index as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the entries in column number `column` as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Get the entries at the given column index as a vector.
getCompiler(int, int) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Get the compiler for number of free parameters and order.
getComplement(Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Get the complement of the region (exchanged interior/exterior).
getCompleteState() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get the complete current state.
getComponents() - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
  Gets the distributions that make up the mixture model.
getComponents() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Get the components array.
getConditionNumber() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Return the condition number of the matrix.
getConjugate() - Method in class org.apache.commons.math3.complex.Quaternion
  Returns the conjugate quaternion of the instance.
getConstantTerm() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
  Gets the constant of the linear equation being optimized.
getConstantTerm() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
  Get the constant of the linear equation being optimized.
getConstraints() - Method in class org.apache.commons.math3.optim.linear.LinearConstraintSet
  Gets the set of linear constraints.
getConstraints() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
getConstraints() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
getConstraintTypeCounts(Relationship) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get a count of constraints corresponding to a specified relationship.
getConstraintTypeCounts(Relationship) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get a count of constraints corresponding to a specified relationship.
getContext() - Method in exception org.apache.commons.math3.exception.MathArithmeticException
  Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException
  Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException
  Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in exception org.apache.commons.math3.exception.MathRuntimeException
  Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
  Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in interface org.apache.commons.math3.exception.util.ExceptionContextProvider
  Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContractionCriteria() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.getContractionCriterion()` instead.
getContractionCriterion() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  The contraction criterion defines when the internal array will contract to store only the number of elements in the element array.
getControlMatrix() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
  Returns the control matrix.
getControlMatrix() - Method in interface org.apache.commons.math3.filter.ProcessModel
  Returns the control matrix.
getConvergence() - Method in class org.apache.commons.math3.ode.events.EventState
  Get the convergence threshold for event localization.
getConvergenceChecker() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Gets the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Get the convergence checker.
getConvergenceChecker() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
  Deprecated.
  Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Get the convergence checker.
getConvertedMatrix() - Method in class org.apache.commons.math3.linear.MatrixUtils.BigFractionMatrixConverter
  Get the converted matrix.
getConvertedMatrix() - Method in class org.apache.commons.math3.linear.MatrixUtils.FractionMatrixConverter
  Get the converted matrix.
getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Returns the correlation matrix
getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Calculate the Spearman Rank Correlation Matrix.
getCorrelationPValues() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Returns a matrix of p-values associated with the (two-sided) null hypothesis that the corresponding correlation coefficient is zero.
getCorrelationStandardErrors() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Returns a matrix of standard errors associated with the estimates in the correlation matrix.
  `getCorrelationStandardErrors().getEntry(i,j)` is the standard error associated with `getCorrelationMatrix.getEntry(i,j)`
getCount(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the number of values = v.
getCount(int) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the number of values = v.
getCount(long) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the number of values = v.
getCount(char) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the number of values = v.
getCount() - Method in class org.apache.commons.math3.util.Incrementor
  Gets the current count.
getCount(int...) - Method in class org.apache.commons.math3.util.MultidimensionalCounter
  Convert to unidimensional counter.
getCount() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
  Get the current unidimensional counter slot.
getCount(int) - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
  Get the current count in the selected dimension.
getCounts(int) - Method in class org.apache.commons.math3.util.MultidimensionalCounter
  Convert to multidimensional counter.
getCounts() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
  Get the current multidimensional counter slots.
getCovariance(double) - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the n × n covariance matrix.
getCovariance(int, int) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Get the covariance for an individual element of the covariance matrix.
getCovariance() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the covariance matrix of the values that have been added.
getCovariance() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns the covariance of the available values.
getCovariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the covariance matrix of the values that have been added.
getCovarianceMatrix() - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Returns the covariance matrix
getCovarianceMatrix() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Returns the covariance matrix
getCovarianceOfParameters(int, int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the covariance between regression parameters i and j.
getCovariances() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Gets the covariance matrix.
getCovariances() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Please use `AbstractLeastSquaresOptimizer.computeCovariances(double[],double)` instead.
getCovariances(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Please use `AbstractLeastSquaresOptimizer.computeCovariances(double[],double)` instead.
getCrossoverPoints() - Method in class org.apache.commons.math3.genetics.NPointCrossover
  Returns the number of crossover points used by this `CrossoverPolicy`.
getCrossoverPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Returns the crossover policy.
getCrossoverRate() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Returns the crossover rate.
getCumFreq(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative frequency of values less than or equal to v.
getCumFreq(int) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative frequency of values less than or equal to v.
getCumFreq(long) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative frequency of values less than or equal to v.
getCumFreq(char) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative frequency of values less than or equal to v.
getCumPct(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(int) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(long) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(char) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCurrentMainSetJacobian(double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Get the current value of the Jacobian matrix with respect to state.
getCurrentParameterJacobian(String, double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Get the current value of the Jacobian matrix with respect to one parameter.
getCurrentSignedStepsize() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get the current signed value of the integration stepsize.
getCurrentSignedStepsize() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Get the current signed value of the integration stepsize.
getCurrentStepStart() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get the current value of the step start time ti.
getCurrentStepStart() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Get the current value of the step start time ti.
getCurrentStepStart() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Get the current value of the step start time ti.
getCurrentTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the current soft grid point time.
getCurrentTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Get the current grid point time.
getCut() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Get the cut sub-hyperplane.
getD() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets the block diagonal matrix D of the decomposition.
getData() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Returns vector entries as a T array.
getData() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math3.linear.FieldVector
  Deprecated.
  as of 3.1, to be removed in 4.0. Please use the `FieldVector.toArray()` method instead.
getData() - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  as of 3.1, to be removed in 4.0. Please use the `SparseFieldVector.toArray()` method instead.
getData() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get the tableau data.
getData() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get the tableau data.
getData() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Return the covariance matrix as two-dimensional array.
getData() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Get a copy of the stored data array.
getDataRef() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Get a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Get a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Get a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Get a reference to the stored data array.
getDecimalDigits() - Method in class org.apache.commons.math3.dfp.DfpDec
  Get the number of decimal digits this class is going to represent.
getDefaultNumberFormat() - Static method in class org.apache.commons.math3.fraction.AbstractFormat
  Create a default number format.
getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
  Create a default number format.
getDefaultNumberFormat() - Static method in class org.apache.commons.math3.fraction.FractionFormat
  Create a default number format.
getDefaultNumberFormat() - Static method in class org.apache.commons.math3.util.CompositeFormat
  Create a default number format.
getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math3.util.CompositeFormat
  Create a default number format.
getDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Access the number of degrees of freedom.
getDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.TDistribution
  Access the degrees of freedom.
getDelegate() - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  To be removed in 4.0.
getDelta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the elevation of the vector.
getDenominator() - Method in class org.apache.commons.math3.fraction.BigFraction
  Access the denominator as a `BigInteger`.
getDenominator() - Method in class org.apache.commons.math3.fraction.Fraction
  Access the denominator.
getDenominatorAsInt() - Method in class org.apache.commons.math3.fraction.BigFraction
  Access the denominator as a `int`.
getDenominatorAsLong() - Method in class org.apache.commons.math3.fraction.BigFraction
  Access the denominator as a `long`.
getDenominatorDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.FDistribution
  Access the denominator degrees of freedom.
getDenominatorFormat() - Method in class org.apache.commons.math3.fraction.AbstractFormat
  Access the denominator format.
getDeterminant() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
  Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Computes the determinant of the matrix.
getDeterminant() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
  Return the determinant of the matrix.
getDeterminant() - Method in class org.apache.commons.math3.linear.LUDecomposition
  Return the determinant of the matrix
getDeviancePart(double, double) - Static method in class org.apache.commons.math3.distribution.SaddlePointExpansion
  A part of the deviance portion of the saddle point approximation.
getDiagonalOfHatMatrix(double[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Gets the diagonal of the Hat matrix also known as the leverage matrix.
getDimension() - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
  Gets the number of random variables of the distribution.
getDimension() - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
  Gets the number of random variables of the distribution.
getDimension() - Method in exception org.apache.commons.math3.exception.DimensionMismatchException
getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
  Get the dimension of the space.
getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
  Get the dimension of the space.
getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
  Get the dimension of the space.
getDimension() - Method in interface org.apache.commons.math3.geometry.Space
  Get the dimension of the space.
getDimension() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Returns the size of the vector.
getDimension() - Method in interface org.apache.commons.math3.linear.FieldVector
  Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math3.linear.RealVector
  Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math3.ode.EquationsMapper
  Get the dimension of the secondary state parameters.
getDimension() - Method in class org.apache.commons.math3.ode.FirstOrderConverter
  Get the dimension of the problem.
getDimension() - Method in interface org.apache.commons.math3.ode.FirstOrderDifferentialEquations
  Get the dimension of the problem.
getDimension() - Method in class org.apache.commons.math3.ode.JacobianMatrices.JacobiansSecondaryEquations
  Get the dimension of the secondary state parameters.
getDimension() - Method in class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
  Get the dimension of the problem.
getDimension() - Method in class org.apache.commons.math3.ode.MultistepIntegrator.CountingDifferentialEquations
  Get the dimension of the problem.
getDimension() - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
  Get the dimension of the underlying FODE.
getDimension() - Method in interface org.apache.commons.math3.ode.SecondaryEquations
  Get the dimension of the secondary state parameters.
getDimension() - Method in interface org.apache.commons.math3.ode.SecondOrderDifferentialEquations
  Get the dimension of the problem.
getDimension() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Get simplex dimension.
getDimension() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Get simplex dimension.
getDimension() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the dimension of the data
getDimension() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns the dimension of the data
getDimension() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the dimension of the data
getDimension() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
  Get the number of dimensions of the multidimensional counter.
getDimensionSizes() - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
  Deprecated.
  Get the size in all dimensions.
getDirection() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
getDirection() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Get the normalized direction vector.
getDirection() - Method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
  Returns the value of this Direction.
getDistance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Distance between two vectors.
getDistance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Optimized method to compute distance.
getDistance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Distance between two vectors.
getDistance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Distance between two vectors.
getDomain(int, int, int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Return the domain for the given hypergeometric distribution parameters.
getE() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant e.
getEigenvector(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets a copy of the ith eigenvector of the original matrix.
getElement() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Get the contained element.
getElement(int, int) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Gets the element at index (i, j) from the covariance matrix
getElement(int) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the element at the specified index
getElement(int) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Returns the element at the specified index
getElement(int) - Method in interface org.apache.commons.math3.util.DoubleArray
  Returns the element at the specified index.
getElement(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Returns the element at the specified index
getElements() - Method in interface org.apache.commons.math3.util.DoubleArray
  Returns a double[] array containing the elements of this `DoubleArray`.
getElements() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Returns a double array containing the elements of this `ResizableArray`.
getElitismRate() - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
  Access the elitism rate.
getEmpiricalDistribution() - Method in class org.apache.commons.math3.random.ValueServer
  Returns the `EmpiricalDistribution` used when operating in 0.
getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
  Get the end point of the segment.
getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
  Get end vertex.
getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
  Get the end point of the segment.
getEntries() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Get the entries of this instance.
getEntries() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Get the entries of this instance.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Get the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Get the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Returns the entry in the specified index.
getEntry(int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Return the entry at the specified index.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Get the entry in the specified row and column.
getEntry(int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the entry in the specified row and column.
getEntry(int) - Method in interface org.apache.commons.math3.linear.FieldVector
  Returns the entry in the specified index.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Get the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Return the entry at the specified index.
getEntry(int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Get the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math3.linear.RealVector
  Return the entry at the specified index.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Returns the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Returns the entry in the specified index.
getEntry(int, int) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get an entry of the tableau.
getEntry(int, int) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get an entry of the tableau.
getEps() - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
  Returns the maximum radius of the neighborhood to be considered.
getErrorCovariance() - Method in class org.apache.commons.math3.filter.KalmanFilter
  Returns the current error covariance matrix.
getErrorCovarianceMatrix() - Method in class org.apache.commons.math3.filter.KalmanFilter
  Returns a copy of the current error covariance matrix.
getErrorSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the sum of squared errors (SSE) associated with the regression model.
getESplit() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant e split in two pieces.
getEvaluations() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Get the number of function evaluations of the last run of the integrator.
getEvaluations() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
  Get the number of function evaluations of the last run of the integrator.
getEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get the number of evaluations of the differential equations function.
getEvaluations() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Get the number of evaluations of the differential equations function.
getEvaluations() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Gets the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Gets the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
getEvaluations() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Gets the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
  Deprecated.
  Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Get the number of evaluations of the objective function.
getEventHandler() - Method in class org.apache.commons.math3.ode.events.EventState
  Get the underlying event handler.
getEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get all the event handlers that have been added to the integrator.
getEventHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Get all the event handlers that have been added to the integrator.
getEventTime() - Method in class org.apache.commons.math3.ode.events.EventState
  Get the occurrence time of the event triggered in the current step.
getException() - Method in exception org.apache.commons.math3.ode.events.EventState.LocalMaxCountExceededException
  Get the wrapped exception.
getExpansionFactor() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Return type will be changed to "double" in 4.0.
getExpansionMode() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Return value to be changed to `ResizableDoubleArray.ExpansionMode` in 4.0.
getExpectedColumnDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
getExpectedDimension(int) - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
getExpectedDimensions() - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
getExpectedRowDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
getExponent() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Return the exponent of the instance value, removing the bias.
getExponent() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Get the exponent characterizing the distribution.
getExponent(double) - Static method in class org.apache.commons.math3.util.FastMath
  Return the exponent of a double number, removing the bias.
getExponent(float) - Static method in class org.apache.commons.math3.util.FastMath
  Return the exponent of a float number, removing the bias.
getExponentTerm(double[]) - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Computes the term used in the exponent (see definition of the distribution).
getFarthestPoint(Collection<Cluster<T>>) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Get the point farthest to its cluster center
getFHi() - Method in exception org.apache.commons.math3.exception.NoBracketingException
  Get the value at the higher end of the interval.
getFHi() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
  Get function value at `BracketFinder.getHi()`.
getFHi() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Get function value at `BracketFinder.getHi()`.
getField() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the `Field` to which the instance belongs.
getField() - Method in class org.apache.commons.math3.complex.Complex
  Get the `Field` to which the instance belongs.
getField() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the `Field` (really a `DfpField`) to which the instance belongs.
getField() - Method in interface org.apache.commons.math3.FieldElement
  Get the `Field` to which the instance belongs.
getField() - Method in class org.apache.commons.math3.fraction.BigFraction
  Get the `Field` to which the instance belongs.
getField() - Method in class org.apache.commons.math3.fraction.Fraction
  Get the `Field` to which the instance belongs.
getField() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the type of field elements of the matrix.
getField() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Get the type of field elements of the vector.
getField() - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get the type of field elements of the matrix.
getField() - Method in interface org.apache.commons.math3.linear.FieldVector
  Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math3.util.BigReal
  Get the `Field` to which the instance belongs.
getField() - Method in class org.apache.commons.math3.util.Decimal64
  Get the `Field` to which the instance belongs.
getFinalTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Get the final integration time.
getFirst() - Method in class org.apache.commons.math3.genetics.ChromosomePair
  Access the first chromosome.
getFirst() - Method in class org.apache.commons.math3.util.Pair
  Get the first element of the pair.
getFirstIndex() - Method in class org.apache.commons.math3.ode.EquationsMapper
  Get the index of the first equation element in complete state arrays.
getFitness() - Method in class org.apache.commons.math3.genetics.Chromosome
  Access the fitness of this chromosome.
getFittestChromosome() - Method in class org.apache.commons.math3.genetics.ListPopulation
  Access the fittest chromosome in this population.
getFittestChromosome() - Method in interface org.apache.commons.math3.genetics.Population
  Access the fittest chromosome in this population.
getFLo() - Method in exception org.apache.commons.math3.exception.NoBracketingException
  Get the value at the lower end of the interval.
getFLo() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
  Get function value at `BracketFinder.getLo()`.
getFLo() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Get function value at `BracketFinder.getLo()`.
getFMid() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
  Get function value at `BracketFinder.getMid()`.
getFMid() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Get function value at `BracketFinder.getMid()`.
getFormat() - Method in class org.apache.commons.math3.geometry.VectorFormat
  Get the components format.
getFormat() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the components format.
getFormat() - Method in class org.apache.commons.math3.linear.RealVectorFormat
  Get the components format.
getFreeParameters() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the number of free parameters.
getFreeParameters() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Get the number of free parameters.
getFrobeniusNorm() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the Frobenius norm of the matrix.
getFunction() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
getFunction() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
getFunctionValueAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Get the function value accuracy of the solver.
getFunctionValueAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Get the function value accuracy of the solver.
getFunctionValueAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Get the function accuracy.
getGenerationsEvolved() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Returns the number of generations evolved to reach `StoppingCondition` in the last run.
getGenerator() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Get the underlying normalized components generator.
getGeneratorUpperBounds() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Returns a fresh copy of the array of upper bounds of the subintervals of [0,1] used in generating data from the empirical distribution.
getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured geometric mean implementation
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the geometric mean of all the aggregated data.
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the geometric mean of the available values
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getGeometricMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that correspond to each multivariate sample
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the geometric mean of the values that have been added.
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the geometric mean of the values that have been added.
getGeometricMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured geometric mean implementation.
getGlobalCurrentTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the current global grid point time.
getGlobalPreviousTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the previous global grid point time.
getGoalType() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
getGoalType() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
getGoalType() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
getGoalType() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
getGoalType() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
getH() - Method in class org.apache.commons.math3.linear.HessenbergTransformer
  Returns the Hessenberg matrix H of the transform.
getH() - Method in class org.apache.commons.math3.linear.QRDecomposition
  Returns the Householder reflector vectors.
getHeight() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get the height of the tableau.
getHeight() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get the height of the tableau.
getHi() - Method in exception org.apache.commons.math3.exception.NoBracketingException
  Get the higher end of the interval.
getHi() - Method in exception org.apache.commons.math3.exception.OutOfRangeException
getHi() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
getHi() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
getHouseholderVectorsRef() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
  Get the Householder vectors of the transform.
getHouseholderVectorsRef() - Method in class org.apache.commons.math3.linear.HessenbergTransformer
  Get the Householder vectors of the transform.
getHouseholderVectorsRef() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
  Get the Householder vectors of the transform.
getHP() - Method in class org.apache.commons.math3.ode.ParameterConfiguration
  Get parameter step.
getHyperplane() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Get the underlying hyperplane.
getHyperplane() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
  Get the underlying hyperplane.
getIEEEFlags() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the IEEE 854 status flags.
getImagEigenvalue(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets the imaginary part of the ith eigenvalue of the original matrix.
getImagEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets a copy of the imaginary parts of the eigenvalues of the original matrix.
getImaginary() - Method in class org.apache.commons.math3.complex.Complex
  Access the imaginary part.
getImaginary(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
  Get the imaginary part of the `k`-th `n`-th root of unity.
getImaginaryCharacter() - Method in class org.apache.commons.math3.complex.ComplexFormat
  Access the imaginaryCharacter.
getImaginaryFormat() - Method in class org.apache.commons.math3.complex.ComplexFormat
  Access the imaginaryFormat.
getImproperInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
  Returns the default complex format for the current locale.
getImproperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
  Returns the default complex format for the given locale.
getImproperInstance() - Static method in class org.apache.commons.math3.fraction.FractionFormat
  Returns the default complex format for the current locale.
getImproperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.FractionFormat
  Returns the default complex format for the given locale.
getIncoming() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
  Get incoming edge.
getIndex() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
  Get the index of the wrong value.
getIndex() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
  Deprecated.
  Get the index of the entry.
getIndex() - Method in class org.apache.commons.math3.linear.RealVector.Entry
  Get the index of the entry.
getInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Get the lower bound of the interval.
getInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Get the lowest value belonging to the instance.
getInitialErrorCovariance() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
  Returns the initial error covariance matrix.
getInitialErrorCovariance() - Method in interface org.apache.commons.math3.filter.ProcessModel
  Returns the initial error covariance matrix.
getInitialGuess() - Method in class org.apache.commons.math3.optim.InitialGuess
  Gets the initial guess.
getInitialGuess() - Method in class org.apache.commons.math3.optimization.InitialGuess
  Deprecated.
  Gets the initial guess.
getInitialStateEstimate() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
  Returns the initial state estimation vector.
getInitialStateEstimate() - Method in interface org.apache.commons.math3.filter.ProcessModel
  Returns the initial state estimation vector.
getInitialTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Get the initial integration time.
getInstance() - Static method in class org.apache.commons.math3.complex.ComplexField
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.complex.ComplexFormat
  Returns the default complex format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.complex.ComplexFormat
  Returns the default complex format for the given locale.
getInstance(String, Locale) - Static method in class org.apache.commons.math3.complex.ComplexFormat
  Returns the default complex format for the given locale.
getInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionField
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.fraction.FractionField
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Returns the default 1D vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Returns the default 1D vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Returns the default 3D vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Returns the default 3D vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Returns the default 2D vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Returns the default 2D vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
  Returns the default real vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
  Returns the default real vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math3.linear.RealVectorFormat
  Returns the default real vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.linear.RealVectorFormat
  Returns the default real vector format for the given locale.
getInstance(int) - Static method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
  Get the Nordsieck transformer for a given number of steps.
getInstance() - Static method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
  Get the only instance.
getInstance() - Static method in class org.apache.commons.math3.util.BigRealField
  Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.util.Decimal64Field
  Returns the unique instance of this class.
getIntercept() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the intercept of the estimated regression line, if `SimpleRegression.hasIntercept()` is true; otherwise 0.
getIntercept(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the intercept of the estimated regression line, given the slope.
getInterceptStdErr() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the standard error of the intercept estimate, usually denoted s(b0).
getInternalLength() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.getCapacity()` instead.
getInternalValues() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1.
getInterpolatedDerivatives() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the derivatives of the state vector of the interpolated point.
getInterpolatedDerivatives() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Get the derivatives of the state vector of the interpolated point.
getInterpolatedSecondaryDerivatives(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the interpolated secondary derivatives corresponding to the secondary equations.
getInterpolatedSecondaryDerivatives(int) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Get the interpolated secondary derivatives corresponding to the secondary equations.
getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the interpolated secondary state corresponding to the secondary equations.
getInterpolatedSecondaryState(int) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Get the interpolated secondary state corresponding to the secondary equations.
getInterpolatedState() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Get the state vector of the interpolated point.
getInterpolatedState() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the state vector of the interpolated point.
getInterpolatedState() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Get the state vector of the interpolated point.
getInterpolatedStateVariation() - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Get the state vector variation from current to interpolated state.
getInterpolatedTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Get the time of the interpolated point.
getInterpolatedTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the time of the interpolated point.
getInterpolatedTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Get the time of the interpolated point.
getInterpolatingPoints() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Returns a copy of the interpolating points array.
getInterpolatingValues() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Returns a copy of the interpolating values array.
getInterpolationPointsForY(WeightedObservedPoint[], int, int, double) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
  Gets the two bounding interpolation points from the specified points suitable for determining X at the specified Y.
getInterpolationPointsForY(WeightedObservedPoint[], int, int, double) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
  Deprecated.
  Gets the two bounding interpolation points from the specified points suitable for determining X at the specified Y.
getInverse() - Method in class org.apache.commons.math3.complex.Quaternion
  Returns the inverse of this instance.
getInverse() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
  Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverse() - Method in interface org.apache.commons.math3.linear.DecompositionSolver
  Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverse() - Method in class org.apache.commons.math3.linear.EigenDecomposition.Solver
  Get the inverse of the decomposed matrix.
getInverse() - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
  Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverse() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
  Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverse() - Method in class org.apache.commons.math3.linear.LUDecomposition.Solver
  Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverse() - Method in class org.apache.commons.math3.linear.QRDecomposition.Solver
  Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverse() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
  Get the pseudo-inverse of the decomposed matrix.
getInverseConditionNumber() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Computes the inverse of the condition number.
getInvertedCoefficientSum(RealVector) - Static method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get the -1 times the sum of all coefficients in the given array.
getInvertedCoefficientSum(RealVector) - Static method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get the -1 times the sum of all coefficients in the given array.
getIterationManager() - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
  Returns the iteration manager attached to this solver.
getIterations() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Get the number of iterations of the last run of the integrator.
getIterations() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
  Get the number of iterations of the last run of the integrator.
getIterations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Gets the number of iterations performed by the algorithm.
getIterations() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Get the number of iterations realized by the algorithm.
getIterations() - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
  Deprecated.
  Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math3.util.IterationEvent
  Returns the number of iterations performed at the time `this` event is created.
getIterations() - Method in class org.apache.commons.math3.util.IterationManager
  Returns the number of iterations of this solver, 0 if no iterations has been performed yet.
getJacobianEvaluations() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
getK() - Method in class org.apache.commons.math3.util.FastMath.CodyWaite
getKernel(SummaryStatistics) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  The within-bin smoothing kernel.
getKey() - Method in class org.apache.commons.math3.util.Pair
  Get the key.
getKeys() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Gets all the keys stored in the exception
getKnots() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Get an array copy of the knot points.
getKurtosis() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the Kurtosis of the available values.
getKurtosisImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured kurtosis implementation.
getL() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
  Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
  Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math3.linear.LUDecomposition
  Returns the matrix L of the decomposition.
getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Distance between two vectors.
getL1Distance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Distance between two vectors.
getL1Norm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Returns the L1 norm of the vector.
getL1Norm() - Method in class org.apache.commons.math3.linear.RealVector
  Returns the L1 norm of the vector.
getLargest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Get the node whose element is the largest one in the tree.
getLargest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Get the node whose element is the largest one in the tree rooted at this node.
getLength() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
  Returns the length of the chromosome.
getLength() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Deprecated.
  as of 3.1, replaced by `Interval.getSize()`
getLine() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
  Get the line containing the segment.
getLine() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
  Get the line supporting this edge.
getLine() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
  Get the line containing the segment.
getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Distance between two vectors.
getLInfDistance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Optimized method to compute LInfDistance.
getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Distance between two vectors.
getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Distance between two vectors.
getLInfNorm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Returns the L∞ norm of the vector.
getLInfNorm() - Method in class org.apache.commons.math3.linear.RealVector
  Returns the L∞ norm of the vector.
getLn10() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant ln(10).
getLn2() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant ln(2).
getLn2Split() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant ln(2) split in two pieces.
getLn5() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant ln(5).
getLn5Split() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant ln(5) split in two pieces.
getLo() - Method in exception org.apache.commons.math3.exception.NoBracketingException
  Get the lower end of the interval.
getLo() - Method in exception org.apache.commons.math3.exception.OutOfRangeException
getLo() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
getLo() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathArithmeticException
getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException
getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException
getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathRuntimeException
getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
getLocalizedMessage() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Gets the message in the default locale.
getLocalizedString(Locale) - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
  Gets the localized string.
getLocalizedString(Locale) - Method in interface org.apache.commons.math3.exception.util.Localizable
  Gets the localized string.
getLocalizedString(Locale) - Method in enum org.apache.commons.math3.exception.util.LocalizedFormats
  Gets the localized string.
getLocation() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Get the hyperplane location on the real line.
getLocation() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
  Get Vertex location.
getLower() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Deprecated.
  as of 3.1, replaced by `Interval.getInf()`
getLower() - Method in class org.apache.commons.math3.optim.SimpleBounds
  Gets the lower bounds.
getLower() - Method in class org.apache.commons.math3.optimization.SimpleBounds
  Deprecated.
  Gets the lower bounds.
getLowerBound() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
getLowerBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
getLowerBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
  Deprecated.
getLowerDomain(int, int, int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Return the lowest domain value for the given hypergeometric distribution parameters.
getLT() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
  Returns the transpose of the matrix L of the decomposition.
getMainDiagonalRef() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
  Get the main diagonal elements of the matrix B of the transform.
getMainDiagonalRef() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
  Get the main diagonal elements of the matrix T of the transform.
getMatrix() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the 3X3 matrix corresponding to the instance
getMax() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
getMax() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
getMax() - Method in exception org.apache.commons.math3.exception.MaxCountExceededException
getMax() - Method in exception org.apache.commons.math3.exception.NumberIsTooLargeException
getMax() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
  Gets the upper bound.
getMax() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
getMax() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
getMax() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getMax() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the maximum of the ith entries of the arrays that correspond to each multivariate sample
getMax() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
  Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
getMax() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the maximum of the values that have been added.
getMax() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getMax() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the maximum of the values that have been added.
getMaxCheckInterval() - Method in class org.apache.commons.math3.ode.events.EventState
  Get the maximal time interval between events handler checks.
getMaxEval() - Method in class org.apache.commons.math3.optim.MaxEval
  Gets the maximum number of evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Get the maximum number of function evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Get the maximum number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Gets the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Get the maximal number of function evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
  Deprecated.
  Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Get the maximal number of function evaluations.
getMaxGrowth() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Get the maximal growth factor for stepsize control.
getMaxGrowth() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Get the maximal growth factor for stepsize control.
getMaximalCount() - Method in class org.apache.commons.math3.util.Incrementor
  Gets the upper limit of the counter.
getMaximalIterationCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Get the upper limit for the number of iterations.
getMaximalIterationCount() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
  Get the upper limit for the number of iterations.
getMaximalOrder() - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Get the maximal order.
getMaximalOrder() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Get the maximal order.
getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured maximum implementation.
getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured maximum implementation
getMaxIndex() - Method in class org.apache.commons.math3.linear.RealVector
  Get the index of the maximum entry.
getMaxIter() - Method in class org.apache.commons.math3.optim.MaxIter
  Gets the maximum number of evaluations.
getMaxIterationCount() - Method in class org.apache.commons.math3.ode.events.EventState
  Get the upper limit in the iteration count for event localization.
getMaxIterations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Gets the maximal number of iterations.
getMaxIterations() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
  Deprecated.
  Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math3.util.IterationManager
  Returns the maximum number of iterations.
getMaxStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Get the maximal step.
getMaxValue() - Method in class org.apache.commons.math3.linear.RealVector
  Get the value of the maximum entry.
getMean() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Access the mean.
getMean() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Access the mean.
getMean() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Get the mean for the distribution.
getMean() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the mean of the ith entries of the arrays that correspond to each multivariate sample
getMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
  Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
getMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the mean of the values that have been added.
getMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the mean of the values that have been added.
getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured mean implementation.
getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured mean implementation
getMeans() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Gets the mean vector.
getMeanSquareError() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
getMeanSquareError() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
getMeasurementDimension() - Method in class org.apache.commons.math3.filter.KalmanFilter
  Returns the dimension of the measurement vector.
getMeasurementMatrix() - Method in class org.apache.commons.math3.filter.DefaultMeasurementModel
  Returns the measurement matrix.
getMeasurementMatrix() - Method in interface org.apache.commons.math3.filter.MeasurementModel
  Returns the measurement matrix.
getMeasurementNoise() - Method in class org.apache.commons.math3.filter.DefaultMeasurementModel
  Returns the measurement noise matrix.
getMeasurementNoise() - Method in interface org.apache.commons.math3.filter.MeasurementModel
  Returns the measurement noise matrix.
getMedian() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Access the median.
getMessage() - Method in exception org.apache.commons.math3.exception.MathArithmeticException
getMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException
getMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException
getMessage() - Method in exception org.apache.commons.math3.exception.MathRuntimeException
getMessage() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
getMessage() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Gets the default message.
getMessage(Locale) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Gets the message in a specified locale.
getMessage(Locale, String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Gets the message in a specified locale.
getMid() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
getMid() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
getMidPoint() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Deprecated.
  as of 3.1, replaced by `Interval.getBarycenter()`
getMin() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
getMin() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
getMin() - Method in exception org.apache.commons.math3.exception.NumberIsTooSmallException
getMin() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
  Gets the lower bound.
getMin() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
getMin() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
getMin() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getMin() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the minimum of the ith entries of the arrays that correspond to each multivariate sample
getMin() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
  Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
getMin() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the minimum of the values that have been added.
getMin() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getMin() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the minimum of the values that have been added.
getMinimalIterationCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Get the min limit for the number of iterations.
getMinimalIterationCount() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
  Get the min limit for the number of iterations.
getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured minimum implementation.
getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured minimum implementation
getMinIndex() - Method in class org.apache.commons.math3.linear.RealVector
  Get the index of the minimum entry.
getMinPts() - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
  Returns the minimum number of points needed for a cluster.
getMinReduction() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Get the minimal reduction factor for stepsize control.
getMinReduction() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Get the minimal reduction factor for stepsize control.
getMinStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Get the minimal step.
getMinus() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Get the tree on the minus side of the cut hyperplane.
getMinus() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
  Get the part of the sub-hyperplane on the minus side of the splitting hyperplane.
getMinValue() - Method in class org.apache.commons.math3.linear.RealVector
  Get the value of the minimum entry.
getMode() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Returns the mode `c` of this distribution.
getMode() - Method in class org.apache.commons.math3.random.ValueServer
  Returns the data generation mode.
getModelFunction() - Method in class org.apache.commons.math3.fitting.CurveFitter.TheoreticalValuesFunction
getModelFunction() - Method in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction
  Gets the model function to be optimized.
getModelFunctionJacobian() - Method in class org.apache.commons.math3.fitting.CurveFitter.TheoreticalValuesFunction
getModelFunctionJacobian() - Method in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian
  Gets the Jacobian of the model function to be optimized.
getMu() - Method in class org.apache.commons.math3.random.ValueServer
  Returns the mean used when operating in `ValueServer.GAUSSIAN_MODE`, `ValueServer.EXPONENTIAL_MODE` or `ValueServer.UNIFORM_MODE`.
getMutationPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Returns the mutation policy.
getMutationRate() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Returns the mutation rate.
getN() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Get the number of spline segments.
getN() - Method in class org.apache.commons.math3.stat.correlation.Covariance
  Returns the number of observations (length of covariate vectors)
getN() - Method in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
  Returns the number of observations.
getN() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  This `Covariance` method is not supported by a `StorelessCovariance`, since the number of bivariate observations does not have to be the same for different pairs of covariates - i.e., N as defined in `Covariance.getN()` is undefined.
getN() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
  Get the number of vectors in the sample.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
  Get the number of vectors in the sample.
getN() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
  Returns the number of values that have been added.
getN() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns the number of available values
getN() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
getN() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Gets the number of observations added to the regression model.
getN() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the number of observations added to the regression model.
getN() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the number of observations that have been added to the model.
getN() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
  Returns the number of observations added to the regression model.
getName() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get the name of the method.
getName() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Get the name of the method.
getName() - Method in exception org.apache.commons.math3.ode.UnknownParameterException
getNanPositions(NaturalRanking.IntDoublePair[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
  Returns a list of indexes where `ranks` is `NaN.`
getNanStrategy() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
  Return the NaNStrategy
getNatural(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Returns an array representing n.
getNbPoints() - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Get the number of points to use.
getNearestCluster(Collection<Cluster<T>>, T) - Static method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Returns the nearest `Cluster` to the given point
getNeighbors(T, Collection<T>) - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
  Returns a list of density-reachable neighbors of a `point`.
getNewtonCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Returns a copy of coefficients in Newton form formula.
getNext() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Get the node containing the next larger or equal element.
getNext() - Method in class org.apache.commons.math3.random.ValueServer
  Returns the next generated value, generated according to the mode value (see MODE constants).
getNextDigest() - Method in class org.apache.commons.math3.random.ValueServer
  Gets a random value in DIGEST_MODE.
getNextExponential() - Method in class org.apache.commons.math3.random.ValueServer
  Gets an exponentially distributed random value with mean = mu.
getNextGaussian() - Method in class org.apache.commons.math3.random.ValueServer
  Gets a Gaussian distributed random value with mean = mu and standard deviation = sigma.
getNextReplay() - Method in class org.apache.commons.math3.random.ValueServer
  Gets next sequential value from the `valuesFileURL`.
getNextUniform() - Method in class org.apache.commons.math3.random.ValueServer
  Gets a uniformly distributed random value with mean = mu.
getNextValue() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Generates a random value from this distribution.
getNode() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
  Get the node whose cut hyperplane contains this edge.
getNorm() - Method in class org.apache.commons.math3.complex.Quaternion
  Computes the norm of the quaternion.
getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the L2 norm for the vector.
getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the L2 norm for the vector.
getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the L2 norm for the vector.
getNorm() - Method in interface org.apache.commons.math3.geometry.Vector
  Get the L2 norm for the vector.
getNorm() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Returns the L2 norm of the vector.
getNorm() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math3.linear.RealVector
  Returns the L2 norm of the vector.
getNorm() - Method in class org.apache.commons.math3.linear.SchurTransformer
  Computes the L1 norm of the (quasi-)triangular matrix T.
getNorm() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the L2 norm of the matrix.
getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the L1 norm for the vector.
getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the L1 norm for the vector.
getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the L1 norm for the vector.
getNorm1() - Method in interface org.apache.commons.math3.geometry.Vector
  Get the L1 norm for the vector.
getNormal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the normalized normal vector.
getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the L∞ norm for the vector.
getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the L∞ norm for the vector.
getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the L∞ norm for the vector.
getNormInf() - Method in interface org.apache.commons.math3.geometry.Vector
  Get the L∞ norm for the vector.
getNormOfResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  Returns the norm of the residual.
getNormOfResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
  Returns the norm of the residual.
getNormOfResidual() - Method in class org.apache.commons.math3.linear.SymmLQ.State
  Returns the norm of the updated, preconditioned residual.
getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the square of the norm for the vector.
getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the square of the norm for the vector.
getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the square of the norm for the vector.
getNormSq() - Method in interface org.apache.commons.math3.geometry.Vector
  Get the square of the norm for the vector.
getNotLarger(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Get the node whose element is not larger than the reference object.
getNotSmaller(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Get the node whose element is not smaller than the reference object.
getNSteps() - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
  Get the number of steps of the method (excluding the one being computed).
getNumArtificialVariables() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get the number of artificial variables.
getNumArtificialVariables() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get the number of artificial variables.
getNumberOfElements() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Get the number of elements (e.g.
getNumberOfParameters() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the number of parameters estimated in the model.
getNumberOfPoints() - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
getNumberOfRoots() - Method in class org.apache.commons.math3.complex.RootsOfUnity
  Returns the number of roots of unity currently stored.
getNumberOfSuccesses() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Access the number of successes.
getNumberOfSuccesses() - Method in class org.apache.commons.math3.distribution.PascalDistribution
  Access the number of successes for this distribution.
getNumberOfTrials() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  Access the number of trials for this distribution.
getNumDecisionVariables() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get the number of decision variables.
getNumDecisionVariables() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get the number of decision variables.
getNumElements() - Method in interface org.apache.commons.math3.util.DoubleArray
  Returns the number of elements currently in the array.
getNumElements() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Returns the number of elements currently in the array.
getNumerator() - Method in class org.apache.commons.math3.fraction.BigFraction
  Access the numerator as a `BigInteger`.
getNumerator() - Method in class org.apache.commons.math3.fraction.Fraction
  Access the numerator.
getNumeratorAsInt() - Method in class org.apache.commons.math3.fraction.BigFraction
  Access the numerator as a `int`.
getNumeratorAsLong() - Method in class org.apache.commons.math3.fraction.BigFraction
  Access the numerator as a `long`.
getNumeratorDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.FDistribution
  Access the numerator degrees of freedom.
getNumeratorFormat() - Method in class org.apache.commons.math3.fraction.AbstractFormat
  Access the numerator format.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.FDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.PascalDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.TDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Use this method to get the numerical value of the mean of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.FDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.PascalDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.TDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Use this method to get the numerical value of the variance of this distribution.
getNumGenerations() - Method in class org.apache.commons.math3.genetics.FixedGenerationCount
  Returns the number of generations that have already passed.
getNumObjectiveFunctions() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get the number of objective functions in this tableau.
getNumObjectiveFunctions() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get the number of objective functions in this tableau.
getNumSlackVariables() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get the number of slack variables.
getNumSlackVariables() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get the number of slack variables.
getObjectiveFunction() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction
  Gets the function to be optimized.
getObjectiveFunction() - Method in class org.apache.commons.math3.optim.univariate.UnivariateObjectiveFunction
  Gets the function to be optimized.
getObjectiveFunction() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Gets the objective vector function.
getObjectiveFunctionGradient() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient
  Gets the gradient of the function to be optimized.
getObservations() - Method in class org.apache.commons.math3.fitting.CurveFitter
  Get the observed points.
getObservations() - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Get the observed points.
getOffset(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Get the offset (oriented distance) of a point.
getOffset(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the offset (oriented distance) of a parallel plane.
getOffset(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the offset (oriented distance) of a point.
getOffset(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get the offset (oriented distance) of a parallel line.
getOffset(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get the offset (oriented distance) of a point.
getOffset(Vector<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
  Get the offset (oriented distance) of a point.
getOmegaInverse() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
  Get the inverse of the covariance.
getOne() - Method in class org.apache.commons.math3.complex.ComplexField
  Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the constant 1.
getOne() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant 1.
getOne() - Method in interface org.apache.commons.math3.Field
  Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math3.fraction.BigFractionField
  Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math3.fraction.FractionField
  Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math3.util.BigRealField
  Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math3.util.Decimal64Field
  Get the multiplicative identity of the field.
getOptima() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Gets all the optima found during the last call to `optimize`.
getOptima() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
  Gets all the optima found during the last call to `optimize`.
getOptima() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
  Gets all the optima found during the last call to `optimize`.
getOptima() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Gets all the optima found during the last call to `optimize`.
getOptima() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Get all the optima found during the last call to `optimize`.
getOptima() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Get all the optima found during the last call to `optimize`.
getOptima() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Get all the optima found during the last call to `optimize`.
getOrder() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the derivation order.
getOrder() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Get the derivation order.
getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Get the order of the method.
getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Get the order of the method.
getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Get the order of the method.
getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
  Get the order of the method.
getOrderOfRegressors() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Gets the order of the regressors, useful if some type of reordering has been called.
getOrigin() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Get the line point closest to the origin.
getOrigin() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the origin point of the plane frame.
getOriginalNumDecisionVariables() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get the original number of decision variables.
getOriginalNumDecisionVariables() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get the original number of decision variables.
getOriginOffset() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get the offset of the origin.
getOutgoing() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
  Get outgoing edge.
getOutline(PolyhedronsSet) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
  Extract the outline of a polyhedrons set.
getP() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
  Returns the P rows permutation matrix.
getP() - Method in class org.apache.commons.math3.linear.HessenbergTransformer
  Returns the matrix P of the transform.
getP() - Method in class org.apache.commons.math3.linear.LUDecomposition
  Returns the P rows permutation matrix.
getP() - Method in class org.apache.commons.math3.linear.SchurTransformer
  Returns the matrix P of the transform.
getPairComparator() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
getPairComparator() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
getParameter(String) - Method in interface org.apache.commons.math3.ode.ParameterizedODE
  Get parameter value from its name.
getParameter(String) - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
  Get parameter value from its name.
getParameterEstimate(int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the parameter estimate for the regressor at the given index.
getParameterEstimates() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns a copy of the regression parameters estimates.
getParameterName() - Method in class org.apache.commons.math3.ode.ParameterConfiguration
  Get parameter name.
getParametersNames() - Method in class org.apache.commons.math3.ode.AbstractParameterizable
  Get the names of the supported parameters.
getParametersNames() - Method in interface org.apache.commons.math3.ode.Parameterizable
  Get the names of the supported parameters.
getParametersNames() - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
  Get the names of the supported parameters.
getParametersNames() - Method in class org.apache.commons.math3.ode.ParameterJacobianWrapper
  Get the names of the supported parameters.
getParent() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Get the parent node.
getPartialCorrelations(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  In the original algorithm only the partial correlations of the regressors is returned to the user.
getPartialDerivative(int...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get a partial derivative.
getPartialDerivativeIndex(int...) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Get the index of a partial derivative in the array.
getPartialDerivativeIndex(int, int, int[][], int...) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Get the index of a partial derivative in an array.
getPartialDerivativeOrders(int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Get the derivation orders for a specific index in the array.
getPct(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(int) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(long) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(char) - Method in class org.apache.commons.math3.stat.Frequency
  Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPercentile(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns an estimate for the pth percentile of the stored values.
getPercentileImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured percentile implementation.
getPi() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant π.
getPiSplit() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant π split in two pieces.
getPivot() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
  Returns the pivot permutation vector.
getPivot() - Method in class org.apache.commons.math3.linear.LUDecomposition
  Returns the pivot permutation vector.
getPivotColumn(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
  Returns the column with the most negative coefficient in the objective function row.
getPivotColumn(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Returns the column with the most negative coefficient in the objective function row.
getPivotRow(SimplexTableau, int) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
  Returns the row with the minimum ratio as given by the minimum ratio test (MRT).
getPivotRow(SimplexTableau, int) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Returns the row with the minimum ratio as given by the minimum ratio test (MRT).
getPlus() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Get the tree on the plus side of the cut hyperplane.
getPlus() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
  Get the part of the sub-hyperplane on the plus side of the splitting hyperplane.
getPlusInside() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
  Get the part of the node cut sub-hyperplane that belongs to the boundary and has the inside of the region on the plus side of its underlying hyperplane.
getPlusOutside() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
  Get the part of the node cut sub-hyperplane that belongs to the boundary and has the outside of the region on the plus side of its underlying hyperplane.
getPoint(int) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Get the simplex point stored at the requested `index`.
getPoint() - Method in class org.apache.commons.math3.optim.PointValuePair
  Gets the point.
getPoint() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
  Gets the point.
getPoint() - Method in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
  Get the point.
getPoint(int) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Get the simplex point stored at the requested `index`.
getPoint() - Method in class org.apache.commons.math3.optimization.PointValuePair
  Deprecated.
  Gets the point.
getPoint() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
  Deprecated.
  Gets the point.
getPoint() - Method in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
  Deprecated.
  Get the point.
getPoint() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
  Get the n-dimensional point in integer space.
getPoint() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
  Get the n-dimensional point in integer space.
getPointAt(Vector2D, double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get one point from the 3D-space.
getPointAt(Vector1D, double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get one point from the plane.
getPointFromLargestNumberCluster(Collection<Cluster<T>>) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Get a random point from the `Cluster` with the largest number of points
getPointFromLargestVarianceCluster(Collection<Cluster<T>>) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Get a random point from the `Cluster` with the largest distance variance.
getPointRef() - Method in class org.apache.commons.math3.optim.PointValuePair
  Gets a reference to the point.
getPointRef() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
  Gets a reference to the point.
getPointRef() - Method in class org.apache.commons.math3.optimization.PointValuePair
  Deprecated.
  Gets a reference to the point.
getPointRef() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
  Deprecated.
  Gets a reference to the point.
getPoints() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Get the points of the simplex.
getPoints() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Get the points of the simplex.
getPoints() - Method in class org.apache.commons.math3.stat.clustering.Cluster
  Get the points contained in the cluster.
getPolynomials() - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
  Compute the interpolation polynomials.
getPolynomials() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Get a copy of the interpolating polynomials array.
getPopulationLimit() - Method in class org.apache.commons.math3.genetics.ListPopulation
  Access the maximum population size.
getPopulationLimit() - Method in interface org.apache.commons.math3.genetics.Population
  Access the maximum population size.
getPopulationSize() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Access the population size.
getPopulationSize() - Method in class org.apache.commons.math3.genetics.ListPopulation
  Access the current population size.
getPopulationSize() - Method in interface org.apache.commons.math3.genetics.Population
  Access the current population size.
getPopulationSize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.PopulationSize
getPopulationSize() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize
  Deprecated.
getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the population variance of the available values.
getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the population variance of the values that have been added.
getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the population variance of the values that have been added.
getPosition() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
  Returns the original position of the pair.
getPositivePolarForm() - Method in class org.apache.commons.math3.complex.Quaternion
  Returns the polar form of the quaternion.
getPrefix() - Method in class org.apache.commons.math3.geometry.VectorFormat
  Get the format prefix.
getPrefix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the format prefix.
getPrefix() - Method in class org.apache.commons.math3.linear.RealVectorFormat
  Get the format prefix.
getPrevious() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
getPrevious() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Get the node containing the next smaller or equal element.
getPreviousTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Get the previous soft grid point time.
getPreviousTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Get the previous grid point time.
getPrimary() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get the primary set of differential equations.
getPrimaryMapper() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get an equations mapper for the primary equations set.
getPrimaryState() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get primary part of the current state.
getPrimaryStateDot() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get primary part of the current state derivative.
getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.PascalDistribution
  Access the probability of success for this distribution.
getProcessNoise() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
  Returns the process noise matrix.
getProcessNoise() - Method in interface org.apache.commons.math3.filter.ProcessModel
  Returns the process noise matrix.
getProjected() - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
  Get the projection of the polyhedrons set on the plane.
getProperInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
  Returns the default complex format for the current locale.
getProperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
  Returns the default complex format for the given locale.
getProperInstance() - Static method in class org.apache.commons.math3.fraction.FractionFormat
  Returns the default complex format for the current locale.
getProperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.FractionFormat
  Returns the default complex format for the given locale.
getPT() - Method in class org.apache.commons.math3.linear.HessenbergTransformer
  Returns the transpose of the matrix P of the transform.
getPT() - Method in class org.apache.commons.math3.linear.SchurTransformer
  Returns the transpose of the matrix P of the transform.
getQ() - Method in class org.apache.commons.math3.linear.QRDecomposition
  Returns the matrix Q of the decomposition.
getQ() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
  Returns the matrix Q of the transform.
getQ0() - Method in class org.apache.commons.math3.complex.Quaternion
  Gets the first component of the quaternion (scalar part).
getQ0() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the scalar coordinate of the quaternion.
getQ1() - Method in class org.apache.commons.math3.complex.Quaternion
  Gets the second component of the quaternion (first component of the vector part).
getQ1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the first coordinate of the vectorial part of the quaternion.
getQ2() - Method in class org.apache.commons.math3.complex.Quaternion
  Gets the third component of the quaternion (second component of the vector part).
getQ2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the second coordinate of the vectorial part of the quaternion.
getQ3() - Method in class org.apache.commons.math3.complex.Quaternion
  Gets the fourth component of the quaternion (third component of the vector part).
getQ3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Get the third coordinate of the vectorial part of the quaternion.
getQT() - Method in class org.apache.commons.math3.linear.QRDecomposition
  Returns the transpose of the matrix Q of the decomposition.
getQT() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
  Returns the transpose of the matrix Q of the transform.
getQuantile() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Returns the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
getR() - Method in class org.apache.commons.math3.linear.QRDecomposition
  Returns the matrix R of the decomposition.
getR() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns Pearson's product moment correlation coefficient, usually denoted r.
getRadixDigits() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the number of radix digits of the instance.
getRadixDigits() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the number of radix digits of the `Dfp` instances built by this factory.
getRan() - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Returns the RandomGenerator used to generate non-secure random data.
getRandomGenerator() - Static method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Returns the (static) random generator.
getRank() - Method in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
  Get the rank of the symmetric positive semidefinite matrix.
getRank() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Return the effective numerical matrix rank.
getRank() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Get the rank of the covariance matrix.
getRankCorrelation() - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Returns a `PearsonsCorrelation` instance constructed from the ranked input data.
getRatio() - Method in class org.apache.commons.math3.genetics.UniformCrossover
  Returns the mixing ratio used by this `CrossoverPolicy`.
getReal() - Method in class org.apache.commons.math3.complex.Complex
  Access the real part.
getReal(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
  Get the real part of the `k`-th `n`-th root of unity.
getRealEigenvalue(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Returns the real part of the ith eigenvalue of the original matrix.
getRealEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets a copy of the real parts of the eigenvalues of the original matrix.
getRealFormat() - Method in class org.apache.commons.math3.complex.ComplexFormat
  Access the realFormat.
getReducedFraction(int, int) - Static method in class org.apache.commons.math3.fraction.BigFraction
  Creates a `BigFraction` instance with the 2 parts of a fraction Y/Z.
getReducedFraction(int, int) - Static method in class org.apache.commons.math3.fraction.Fraction
  Creates a `Fraction` instance with the 2 parts of a fraction Y/Z.
getRegressionSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
getRegressionSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
getRegressionSumSquares(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Computes SSR from b1.
getRelationship() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
  Gets the relationship between left and right hand sides.
getRelationship() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Get the relationship between left and right hand sides.
getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Get the actual relative accuracy.
getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
  Get the actual relative accuracy.
getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Get the relative accuracy of the solver.
getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Get the relative accuracy of the solver.
getRelativeAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Get the relative accuracy.
getRelativeThreshold() - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
getRelativeThreshold() - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
  Deprecated.
getRemA() - Method in class org.apache.commons.math3.util.FastMath.CodyWaite
getRemainingRegion() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Get the remaining region of the hyperplane.
getRemB() - Method in class org.apache.commons.math3.util.FastMath.CodyWaite
getRepresentation() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
  Returns the (immutable) inner representation of the chromosome.
getResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  Returns the residual.
getResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
  Returns the residual.
getResult() - Method in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
  Return the current covariance estimate.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Returns the value of the statistic based on the values that have been added.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
  Get the covariance matrix.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
  Get the mean vector.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
  Returns the current value of the Statistic.
getResult() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Returns the current value of the Statistic.
getResults(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array of the results of a statistic.
getReverse() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get the reverse of the instance.
getRhsOffset() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get the offset of the right hand side.
getRhsOffset() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get the offset of the right hand side.
getRightHandSideVector() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  Returns the current right-hand side of the linear system to be solved.
getRightHandSideVector() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
  Returns the current right-hand side of the linear system to be solved.
getRMS() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Gets the root-mean-square (RMS) value.
getRMS() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Get the Root Mean Square value.
getRootMatrix() - Method in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
  Get the root of the covariance matrix.
getRootMatrix() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Get the root of the covariance matrix.
getRoundingMode() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the current rounding mode.
getRoundingMode() - Method in class org.apache.commons.math3.util.BigReal
  Gets the rounding mode for division operations The default is `RoundingMode.HALF_UP`
getRow(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the entries in row number `row` as an array.
getRow(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Get the entries at the given row index.
getRow(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Get the entries in row number `row` as an array.
getRow(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Get the entries at the given row index.
getRow(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get the entries in row number `row` as an array.
getRow() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
getRow() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
getRow(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Get the entries at the given row index.
getRowDimension() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the number of rows of this matrix.
getRowDimension() - Method in interface org.apache.commons.math3.linear.AnyMatrix
  Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns the number of rows of this matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the number of rows of this matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
  Returns the dimension of the codomain of this operator.
getRowDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Returns the number of rows of this matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.RealLinearOperator
  Returns the dimension of the codomain of this operator.
getRowDimension() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Returns the number of rows in the matrix.
getRowMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the entries in row number `row` as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Get the entries at the given row index as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Get the entries in row number `row` as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Get the entries at the given row index as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get the entries in row number `row` as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Get the entries at the given row index as a row matrix.
getRowPrefix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the format prefix.
getRowSeparator() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the format separator between rows of the matrix.
getRowSuffix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the format suffix.
getRowVector(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get the entries in row number `row` as a vector.
getRowVector(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the entries in row number `row` as a vector.
getRowVector(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Get the entries in row number `row` as a vector.
getRowVector(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the entries in row number `row` as a vector.
getRowVector(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get the entries in row number `row` as a vector.
getRowVector(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the entries in row number `row` as a vector.
getRSquare() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the coefficient of determination, usually denoted r-square.
getRSquared() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the coefficient of multiple determination, usually denoted r-square.
getRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
  Gets a copy of the quadrature rule with the given number of integration points.
getRule(BaseRuleFactory<? extends Number>, int) - Static method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
getRuleInternal(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
  Gets a rule.
getRuntimeClass() - Method in class org.apache.commons.math3.complex.ComplexField
  Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math3.dfp.DfpField
  Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in interface org.apache.commons.math3.Field
  Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math3.fraction.BigFractionField
  Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math3.fraction.FractionField
  Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math3.util.BigRealField
  Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math3.util.Decimal64Field
  Returns the runtime class of the FieldElement.
getS() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the diagonal matrix Σ of the decomposition.
getSafety() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Get the safety factor for stepsize control.
getSafety() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Get the safety factor for stepsize control.
getSampleSize() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Access the sample size.
getSampleStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Returns a `StatisticalSummary` describing this distribution.
getScalarPart() - Method in class org.apache.commons.math3.complex.Quaternion
  Gets the scalar part of the quaternion.
getScale() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Access the scale parameter.
getScale() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Returns the scale parameter of `this` distribution.
getScale() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Returns the scale parameter of this distribution.
getScale() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Access the scale parameter, `beta`.
getScale() - Method in class org.apache.commons.math3.util.BigReal
  Sets the scale for division operations.
getSecond() - Method in class org.apache.commons.math3.genetics.ChromosomePair
  Access the second chromosome.
getSecond() - Method in class org.apache.commons.math3.util.Pair
  Get the second element of the pair.
getSecondaryDiagonalRef() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
  Get the secondary diagonal elements of the matrix B of the transform.
getSecondaryDiagonalRef() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
  Get the secondary diagonal elements of the matrix T of the transform.
getSecondaryMappers() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get the equations mappers for the secondary equations sets.
getSecondaryState(int) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get secondary part of the current state.
getSecondaryStateDot(int) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get secondary part of the current state derivative.
getSecondMoment() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns a statistic related to the Second Central Moment.
getSecondMoment() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns a statistic related to the Second Central Moment.
getSecRan() - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Returns the SecureRandom used to generate secure random data.
getSegments() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
  Get the endpoints of the sub-line.
getSegments() - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Get the endpoints of the sub-line.
getSelectionPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Returns the selection policy.
getSeparator() - Method in class org.apache.commons.math3.geometry.VectorFormat
  Get the format separator between components.
getSeparator() - Method in class org.apache.commons.math3.linear.RealVectorFormat
  Get the format separator between components.
getShape() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Returns the shape parameter of `this` distribution.
getShape() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Returns the shape parameter of this distribution.
getShape() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Access the shape parameter, `alpha`.
getSigma() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
getSigma() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
  Deprecated.
getSigma() - Method in class org.apache.commons.math3.random.ValueServer
  Returns the standard deviation used when operating in `ValueServer.GAUSSIAN_MODE`.
getSignificance() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the significance level of the slope (equiv) correlation.
getSingularValues() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the diagonal elements of the matrix Σ of the decomposition.
getSize() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Get the array size required for holding partial derivatives data.
getSize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Get the size of the interval.
getSize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
  Get the size of the instance.
getSize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Get the size of the instance.
getSize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Get the size of the instance.
getSize() - Method in class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
  Get the size of the boundary.
getSize() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Get the size of the instance.
getSize() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
  Get the size of the instance.
getSize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Get simplex size.
getSize() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Get simplex size.
getSize() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
  Get the total number of elements.
getSizes() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
  Get the number of multidimensional counter slots in each dimension.
getSkewness() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the skewness of the available values.
getSkewnessImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured skewness implementation.
getSlackVariableOffset() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get the offset of the first slack variable.
getSlackVariableOffset() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get the offset of the first slack variable.
getSlope() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the slope of the estimated regression line.
getSlopeConfidenceInterval() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the half-width of a 95% confidence interval for the slope estimate.
getSlopeConfidenceInterval(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the half-width of a (100-100*alpha)% confidence interval for the slope estimate.
getSlopeStdErr() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the standard error of the slope estimate, usually denoted s(b1).
getSmallest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Get the node whose element is the smallest one in the tree.
getSmallest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Get the node whose element is the smallest one in the tree rooted at this node.
getSolution() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  Returns the current estimate of the solution to the linear system to be solved.
getSolution() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
  Returns the current estimate of the solution to the linear system to be solved.
getSolution() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get the current solution.
getSolution() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get the current solution.
getSolver() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
  Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
  Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math3.linear.LUDecomposition
  Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math3.linear.QRDecomposition
  Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Get a solver for finding the A × X = B solution in least square sense.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.FDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.TDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
getSorted() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
  Get the sorted segments.
getSortedValues() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the current set of values in an array of double primitives, sorted in ascending order.
getSourceString() - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
  Gets the source (non-localized) string.
getSourceString() - Method in interface org.apache.commons.math3.exception.util.Localizable
  Gets the source (non-localized) string.
getSourceString() - Method in enum org.apache.commons.math3.exception.util.LocalizedFormats
  Gets the source (non-localized) string.
getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the space to which the vector belongs.
getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the space to which the vector belongs.
getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the space to which the vector belongs.
getSpace() - Method in interface org.apache.commons.math3.geometry.Vector
  Get the space to which the vector belongs.
getSparsity() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
getSqr2() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant √2.
getSqr2Reciprocal() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant √2 / 2.
getSqr2Split() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant √2 split in two pieces.
getSqr3() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant √3.
getSqr3Reciprocal() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant √3 / 3.
getSquareRoot() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Computes the square-root of the matrix.
getStandardDeviation() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Access the standard deviation.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getStandardDeviation() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that correspond to each multivariate sample
getStandardDeviation() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
  Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the standard deviation of the values that have been added.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the standard deviation of the values that have been added.
getStandardDeviations() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Gets the square root of each element on the diagonal of the covariance matrix.
getStart() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
  Get the start point of the segment.
getStart() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
  Get start vertex.
getStart() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
  Get the start point of the segment.
getStarterIntegrator() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Get the starter integrator.
getStartIndex() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Returns the "start index" of the internal array.
getStartPoint() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
  Gets the initial guess.
getStartPoint() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
getStartPoint() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Gets the initial values of the optimized parameters.
getStartValue() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
getStartValue() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
  Gets the start value.
getStartValue() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
getStartValue() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
getStateDimension() - Method in class org.apache.commons.math3.filter.KalmanFilter
  Returns the dimension of the state estimation vector.
getStateEstimation() - Method in class org.apache.commons.math3.filter.KalmanFilter
  Returns the current state estimation vector.
getStateEstimationVector() - Method in class org.apache.commons.math3.filter.KalmanFilter
  Returns a copy of the current state estimation vector.
getStateTransitionMatrix() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
  Returns the state transition matrix.
getStateTransitionMatrix() - Method in interface org.apache.commons.math3.filter.ProcessModel
  Returns the state transition matrix.
getStatisticsDHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
getStatisticsDHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
getStatisticsFitnessHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
getStatisticsFitnessHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
getStatisticsMeanHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
getStatisticsMeanHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
getStatisticsSigmaHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
getStatisticsSigmaHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
getStdErrorOfEstimate(int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the standard error of the parameter estimate at index, usually denoted s(bindex).
getStdErrorOfEstimates() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the standard error of the parameter estimates, usually denoted s(bi).
getStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Get all the step handlers that have been added to the integrator.
getStepHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Get all the step handlers that have been added to the integrator.
getStepSize() - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Get the step size.
getStirlingError(double) - Static method in class org.apache.commons.math3.distribution.SaddlePointExpansion
  Compute the error of Stirling's series at the given value.
getStrict() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get a submatrix.
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Gets a submatrix.
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Get a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get a submatrix.
getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Get a submatrix.
getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Gets a submatrix.
getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Gets a submatrix.
getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
  Get the n-1 dimension subspace of this space.
getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
  Get the n-1 dimension subspace of this space.
getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
  Get the n-1 dimension subspace of this space.
getSubSpace() - Method in interface org.apache.commons.math3.geometry.Space
  Get the n-1 dimension subspace of this space.
getSubVector(int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Get a subvector from consecutive elements.
getSubVector(int, int) - Method in interface org.apache.commons.math3.linear.FieldVector
  Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math3.linear.RealVector
  Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Get a subvector from consecutive elements.
getSuffix() - Method in class org.apache.commons.math3.geometry.VectorFormat
  Get the format suffix.
getSuffix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Get the format suffix.
getSuffix() - Method in class org.apache.commons.math3.linear.RealVectorFormat
  Get the format suffix.
getSum() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the sum of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getSum() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the sum of the ith entries of the arrays that correspond to each multivariate sample
getSum() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
  Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
getSum() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the sum of the values that have been added
getSum() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the sum of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getSum() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the sum of the values that have been added
getSumFreq() - Method in class org.apache.commons.math3.stat.Frequency
  Returns the sum of all frequencies.
getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured sum implementation.
getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured Sum implementation
getSumLog() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getSumLog() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that correspond to each multivariate sample
getSumLog() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured sum of logs implementation
getSummary() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Return a `StatisticalSummaryValues` instance reporting current aggregate statistics.
getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Return a `StatisticalSummaryValues` instance reporting current statistics.
getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Return a `StatisticalSummaryValues` instance reporting current statistics.
getSumOfCrossProducts() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the sum of crossproducts, xi*yi.
getSumOfLogs() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the sum of the logs of all the aggregated data.
getSumOfLogs() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the sum of the logs of the values that have been added.
getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the sum of the squares of all the aggregated data.
getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the sum of the squares of the available values.
getSumSq() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getSumSq() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
  Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that correspond to each multivariate sample
getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the sum of the squares of the values that have been added.
getSumSq() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that have been added using `MultivariateSummaryStatistics.addValue(double[])`
getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the sum of the squares of the values that have been added.
getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured sum of squares implementation.
getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured sum of squares implementation
getSumSquaredErrors() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the sum of squared errors (SSE) associated with the regression model.
getSup() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Get the upper bound of the interval.
getSup() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Get the highest value belonging to the instance.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.FDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.PascalDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.TDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Access the lower bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.FDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.PascalDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.TDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Access the upper bound of the support.
getT() - Method in class org.apache.commons.math3.linear.SchurTransformer
  Returns the quasi-triangular Schur matrix T of the transform.
getT() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
  Returns the tridiagonal matrix T of the transform.
getTarget() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Gets the observed values to be matched by the objective vector function.
getTarget() - Method in class org.apache.commons.math3.optim.nonlinear.vector.Target
  Gets the initial guess.
getTarget() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Gets the observed values to be matched by the objective vector function.
getTarget() - Method in class org.apache.commons.math3.optimization.Target
  Deprecated.
  Gets the initial guess.
getTargetRef() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  As of 3.1.
getTargetSize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Gets the number of observed values.
getThreshold() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
getThreshold() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
getThrowable() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Get a reference to the exception to which the context relates.
getTiesStrategy() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
  Return the TiesStrategy
getTime() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Get current time.
getTotalDimension() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Return the dimension of the complete set of equations.
getTotalSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns the sum of squared deviations of the y values about their mean.
getTotalSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the sum of squared deviations of the y values about their mean.
getTrace() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTransform(AffineTransform) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get a `Transform` embedding an affine transform.
getTransformer(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
  Returns the Transformer that is mapped to a class if mapping is not present, this returns null.
getTree(boolean) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Get the underlying BSP tree.
getTree(boolean) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Get the underlying BSP tree.
getTwo() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the constant 2.
getTwo() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant 2.
getU() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the plane first canonical vector.
getU() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
  Returns the matrix U of the transform.
getU() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
  Returns the matrix U of the decomposition.
getU() - Method in class org.apache.commons.math3.linear.LUDecomposition
  Returns the matrix U of the decomposition.
getU() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the matrix U of the decomposition.
getUniqueCount() - Method in class org.apache.commons.math3.stat.Frequency
  Returns the number of values in the frequency table.
getUpper() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Deprecated.
  as of 3.1, replaced by `Interval.getSup()`
getUpper() - Method in class org.apache.commons.math3.optim.SimpleBounds
  Gets the upper bounds.
getUpper() - Method in class org.apache.commons.math3.optimization.SimpleBounds
  Deprecated.
  Gets the lower bounds.
getUpperBound() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
getUpperBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
getUpperBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
  Deprecated.
getUpperBounds() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Returns a fresh copy of the array of upper bounds for the bins.
getUpperDomain(int, int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Return the highest domain value for the given hypergeometric distribution parameters.
getUT() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the transpose of the matrix U of the decomposition.
getV() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the plane second canonical vector.
getV() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
  Returns the matrix V of the transform.
getV() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets the matrix V of the decomposition.
getV() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the matrix V of the decomposition.
getValue() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the value part of the derivative structure.
getValue(String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Gets the value associated to the given context key.
getValue() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
  Deprecated.
  Get the value of the entry.
getValue() - Method in class org.apache.commons.math3.linear.RealVector.Entry
  Get the value of the entry.
getValue() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
  Gets the value of the constraint (right hand side).
getValue() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
  Gets the value of the objective function.
getValue() - Method in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
  Get the value of the objective function.
getValue() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Get the value of the constraint (right hand side).
getValue(double[]) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
  Compute the value of the linear equation at the current point
getValue(RealVector) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
  Compute the value of the linear equation at the current point
getValue() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
  Deprecated.
  Gets the value of the objective function.
getValue() - Method in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
  Deprecated.
  Get the value of the objective function.
getValue() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
  Returns the value of the pair.
getValue() - Method in class org.apache.commons.math3.util.Pair
  Get the value.
getValueRef() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
  Gets a reference to the value of the objective function.
getValueRef() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
  Deprecated.
  Gets a reference to the value of the objective function.
getValues() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the current set of values in an array of double primitives.
getValues() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Returns the current set of values in an array of double primitives.
getValuesFileURL() - Method in class org.apache.commons.math3.random.ValueServer
  Returns the URL for the file used to build the empirical distribution when using `ValueServer.DIGEST_MODE`.
getVariance() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Returns the variance of the available values.
getVariance() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the (sample) variance of the available values.
getVariance() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
  Returns the variance of the available values.
getVariance() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
getVariance() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the (sample) variance of the available values.
getVariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the (sample) variance of the available values.
getVarianceDirection() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Returns the varianceDirection property.
getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the currently configured variance implementation.
getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns the currently configured variance implementation
getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns the currently configured variance implementation
getVcvElement(int, int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Gets the i-jth element of the variance-covariance matrix.
getVectorPart() - Method in class org.apache.commons.math3.complex.Quaternion
  Gets the three components of the vector part of the quaternion.
getVertices() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Get the vertices of the polygon.
getVT() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Gets the transpose of the matrix V of the decomposition.
getVT() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
  Returns the transpose of the matrix V of the decomposition.
getWeight() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
  Gets the weight of the measurement in the fitting process.
getWeight() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Gets the weight matrix of the observations.
getWeight() - Method in class org.apache.commons.math3.optim.nonlinear.vector.Weight
  Gets the initial guess.
getWeight() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Gets the weight matrix of the observations.
getWeight() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
  Deprecated.
  Get the weight of the measurement in the fitting process.
getWeight() - Method in class org.apache.commons.math3.optimization.Weight
  Deprecated.
  Gets the initial guess.
getWeightRef() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  As of 3.1.
getWeightSquareRoot() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Gets the square-root of the weight matrix.
getWeightSquareRoot() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Gets the square-root of the weight matrix.
getWholeFormat() - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
  Access the whole format.
getWholeFormat() - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
  Access the whole format.
getWidth() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get the width of the tableau.
getWidth() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get the width of the tableau.
getWindowSize() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
getWindowSize() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
getWrongColumnDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
getWrongDimension(int) - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
getWrongDimensions() - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
getWrongRowDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
getX() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
  Gets the abscissa of the point.
getX() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the abscissa of the vector.
getX() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the abscissa of the vector.
getX() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the abscissa of the vector.
getX() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
  Deprecated.
  Get the abscissa of the point.
getX() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
getXSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the sum of squared deviations of the x values about their mean.
getY() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
  Gets the observed value of the function at x.
getY() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the ordinate of the vector.
getY() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the ordinate of the vector.
getY() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
  Deprecated.
  Get the observed value of the function at x.
getY() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
getZ() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the height of the vector.
getZero() - Method in class org.apache.commons.math3.complex.ComplexField
  Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the constant 0.
getZero() - Method in class org.apache.commons.math3.dfp.DfpField
  Get the constant 0.
getZero() - Method in interface org.apache.commons.math3.Field
  Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math3.fraction.BigFractionField
  Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math3.fraction.FractionField
  Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the null vector of the vectorial space or origin point of the affine space.
getZero() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the null vector of the vectorial space or origin point of the affine space.
getZero() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the null vector of the vectorial space or origin point of the affine space.
getZero() - Method in interface org.apache.commons.math3.geometry.Vector
  Get the null vector of the vectorial space or origin point of the affine space.
getZero() - Method in class org.apache.commons.math3.util.BigRealField
  Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math3.util.Decimal64Field
  Get the additive identity of the field.
GillIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations .
GillIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.GillIntegrator
  Simple constructor.
GillStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements a step interpolator for the Gill fourth order Runge-Kutta integrator.
GillStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
  Simple constructor.
GillStepInterpolator(GillStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
  Copy constructor.
GLD_RATIO - Static variable in class org.apache.commons.math3.random.ISAACRandom
  The golden ratio
globalCurrentTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  global current time
globalFitInfo - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
  array storing global results, SSE, MSE, RSQ, adjRSQ
globalPreviousTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  global previous time
GLSMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
  The GLS implementation of the multiple linear regression.
GLSMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
gmax - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of max(|alpha[1]|, gamma[1], ..., gamma[k-1]).
gmin - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of min(|alpha[1]|, gamma[1], ..., gamma[k-1]).
goal - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
  Type of optimization.
goal - Variable in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
  Type of optimization.
goal - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Type of optimization.
goal - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Type of optimization goal: either `GoalType.MAXIMIZE` or `GoalType.MINIMIZE`.
goal - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Optimization type
GoalType - Enum in org.apache.commons.math3.optim.nonlinear.scalar
  Goal type for an optimization problem (minimization or maximization of a scalar function.
GoalType() - Constructor for enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
GoalType - Enum in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
GoalType() - Constructor for enum org.apache.commons.math3.optimization.GoalType
  Deprecated.
GOLD - Static variable in class org.apache.commons.math3.optim.univariate.BracketFinder
  Golden section.
GOLD - Static variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Golden section.
GOLDEN_SECTION - Static variable in class org.apache.commons.math3.optim.univariate.BrentOptimizer
  Golden section.
GOLDEN_SECTION - Static variable in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
  Deprecated.
  Golden section.
goodb - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  Copy of the `goodb` parameter.
gradient() - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateFunction
  Deprecated.
  Returns the gradient function.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric
  Computes the value of the gradient at `x`.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
  Computes the value of the gradient at `x`.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric
  Computes the value of the gradient at `x`.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric
  Computes the value of the gradient at `x`.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
  Computes the value of the gradient at `x`.
gradient(double, double...) - Method in interface org.apache.commons.math3.analysis.ParametricUnivariateFunction
  Compute the gradient of the function with respect to its parameters.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
  Compute the gradient of the function with respect to its parameters.
gradient - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
  Gradient of the objective function.
gradient - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient
  Function to be optimized.
gradient - Variable in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
  Deprecated.
  Objective function gradient.
gradient - Variable in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
  Deprecated.
  Objective function gradient.
gradientAtTrustRegionCenter - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Gradient of the quadratic model at `BOBYQAOptimizer.originShift` + `BOBYQAOptimizer.trustRegionCenterOffset`.
gradientAtTrustRegionCenter - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Gradient of the quadratic model at `BOBYQAOptimizer.originShift` + `BOBYQAOptimizer.trustRegionCenterOffset`.
GradientFunction - Class in org.apache.commons.math3.analysis.differentiation
  Class representing the gradient of a multivariate function.
GradientFunction(MultivariateDifferentiableFunction) - Constructor for class org.apache.commons.math3.analysis.differentiation.GradientFunction
  Simple constructor.
GradientMultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Base class for implementing optimizers for multivariate scalar differentiable functions.
GradientMultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
GraggBulirschStoerIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements a Gragg-Bulirsch-Stoer integrator for Ordinary Differential Equations.
GraggBulirschStoerIntegrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Simple constructor.
GraggBulirschStoerIntegrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Simple constructor.
GraggBulirschStoerStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements an interpolator for the Gragg-Bulirsch-Stoer integrator.
GraggBulirschStoerStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  Simple constructor.
GraggBulirschStoerStepInterpolator(double[], double[], double[], double[], double[][], boolean, EquationsMapper, EquationsMapper[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  Simple constructor.
GraggBulirschStoerStepInterpolator(GraggBulirschStoerStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  Copy constructor.
GREATER_THAN_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
  Name for traps triggered by greaterThan.
greaterThan(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is greater than x.
growLimit - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
  Factor for expanding the interval.
growLimit - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Factor for expanding the interval.
growTable() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Grow the tables.
growTable() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Grow the tables.
GTest - Class in org.apache.commons.math3.stat.inference
  Implements G Test statistics.
GTest() - Constructor for class org.apache.commons.math3.stat.inference.GTest
gTest(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
  Returns the observed significance level, or p-value, associated with a G-Test for goodness of fit comparing the `observed` frequency counts to those in the `expected` array.
gTest(double[], long[], double) - Method in class org.apache.commons.math3.stat.inference.GTest
  Performs a G-Test (Log-Likelihood Ratio Test) for goodness of fit evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level `alpha`.
gTest(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
gTest(double[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
gTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
  Returns the observed significance level, or p-value, associated with a G-Value (Log-Likelihood Ratio) for two sample test comparing bin frequency counts in `observed1` and `observed2`.
gTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math3.stat.inference.GTest
  Performs a G-Test (Log-Likelihood Ratio Test) comparing two binned data sets.
gTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
gTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
gTestIntrinsic(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
  Returns the intrinsic (Hardy-Weinberg proportions) p-Value, as described in p64-69 of McDonald, J.H.
gTestIntrinsic(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
guess() - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
  Gets an estimation of the parameters.
guess() - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
  Gets an estimation of the parameters.
guess() - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
  Deprecated.
  Gets an estimation of the parameters.
guess() - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
  Deprecated.
  Gets an estimation of the parameters.
guessAOmega(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
  Estimate a first guess of the amplitude and angular frequency.
guessAOmega(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
  Deprecated.
  Estimate a first guess of the amplitude and angular frequency.
guessParametersErrors() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  as of version 3.1, `AbstractLeastSquaresOptimizer.computeSigma(double[],double)` should be used instead. It should be emphasized that `guessParametersErrors` and `computeSigma` are not strictly equivalent.
guessPhi(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
  Estimate a first guess of the phase.
guessPhi(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
  Deprecated.
  Estimate a first guess of the phase.
guessX(double, double[], double[], int, int) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Guess an x value by nth order inverse polynomial interpolation.
guessX(Dfp, Dfp[], Dfp[], int, int) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Guess an x value by nth order inverse polynomial interpolation.

## H

h - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  current time step
h - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
  Fixed time step.
H_SIZE - Static variable in class org.apache.commons.math3.random.ISAACRandom
  Half-size of rsl[] and mem[]
HALF - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
HALF - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
HALF_LOG_2_PI - Static variable in class org.apache.commons.math3.distribution.SaddlePointExpansion
  1/2 * log(2 π).
HALF_LOG_2_PI - Static variable in class org.apache.commons.math3.special.Gamma
  Avoid repeated computation of log of 2 PI in logGamma
HALF_LOG_TWO_PI - Static variable in class org.apache.commons.math3.special.Beta
  The constant value of ½log 2π.
halfSampleSpan - Variable in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Half sample span.
handler - Variable in class org.apache.commons.math3.ode.events.EventState
  Event handler.
handler - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
  Underlying step handler.
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Handle the last accepted step.
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
  Handle the last accepted step
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
  Handle the last accepted step.
handleStep(double, double[], double[], boolean) - Method in interface org.apache.commons.math3.ode.sampling.FixedStepHandler
  Handle the last accepted step
handleStep(StepInterpolator, boolean) - Method in interface org.apache.commons.math3.ode.sampling.StepHandler
  Handle the last accepted step
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
  Handle the last accepted step
HarmonicFitter - Class in org.apache.commons.math3.fitting
  Class that implements a curve fitting specialized for sinusoids.
HarmonicFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.HarmonicFitter
  Simple constructor.
HarmonicFitter - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
  As of 3.1 (to be removed in 4.0).
HarmonicFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.HarmonicFitter
  Deprecated.
  Simple constructor.
HarmonicFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
  This class guesses harmonic coefficients from a sample.
HarmonicFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
  Simple constructor.
HarmonicFitter.ParameterGuesser - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
  This class guesses harmonic coefficients from a sample.
HarmonicFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
  Deprecated.
  Simple constructor.
HarmonicOscillator - Class in org.apache.commons.math3.analysis.function
  simple harmonic oscillator function.
HarmonicOscillator(double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.HarmonicOscillator
  Harmonic oscillator function.
HarmonicOscillator.Parametric - Class in org.apache.commons.math3.analysis.function
  Parametric function where the input array contains the parameters of the harmonic oscillator function, ordered as follows: Amplitude Angular frequency Phase
HarmonicOscillator.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
hasComplexEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Returns whether the calculated eigen values are complex or real.
hasConverged - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  `true` if the default convergence criterion is verified.
hasConverged() - Method in class org.apache.commons.math3.linear.SymmLQ.State
  Returns `true` if the default stopping criterion is fulfilled.
hash(double) - Static method in class org.apache.commons.math3.util.MathUtils
  Returns an integer hash code representing the given double value.
hash(double[]) - Static method in class org.apache.commons.math3.util.MathUtils
  Returns an integer hash code representing the given double array.
hashCode() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
hashCode() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.JacobiKey
  Get hash code.
hashCode() - Method in class org.apache.commons.math3.complex.Complex
  Get a hashCode for the complex number.
hashCode() - Method in class org.apache.commons.math3.complex.Quaternion
hashCode() - Method in class org.apache.commons.math3.dfp.Dfp
  Gets a hashCode for the instance.
hashCode() - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets a hashCode for the fraction.
hashCode() - Method in class org.apache.commons.math3.fraction.Fraction
  Gets a hashCode for the fraction.
hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get a hashCode for the 1D vector.
hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get a hashCode for the 3D vector.
hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ComparableSegment
hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get a hashCode for the 2D vector.
hashCode() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
hashCode() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Computes a hashcode for the matrix.
hashCode() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Computes a hashcode for the matrix.
hashCode() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Get a hashCode for the real vector.
hashCode() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  .
hashCode() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  .
hashCode() - Method in class org.apache.commons.math3.linear.RealVector
  .
hashCode() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
hashCode() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
hashCode() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
hashCode() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
hashCode() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
hashCode() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
  Deprecated.
hashCode() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
hashCode() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
hashCode() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
hashCode() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
hashCode() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  Returns hash code based on getResult() and getN()
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
  Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
  Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.Frequency
hashCode() - Method in class org.apache.commons.math3.util.BigReal
hashCode() - Method in class org.apache.commons.math3.util.Decimal64
  The current implementation returns the same value as `new Double(this.doubleValue()).hashCode()`
hashCode() - Method in class org.apache.commons.math3.util.DefaultTransformer
hashCode() - Method in class org.apache.commons.math3.util.Pair
  Compute a hash code.
hashCode() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Returns a hash code consistent with equals.
hashCode() - Method in class org.apache.commons.math3.util.TransformerMap
hashOf(int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Compute the hash value of a key
hashOf(int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Compute the hash value of a key
hasIntercept - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  boolean flag whether a regression constant is added
hasIntercept() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  A getter method which determines whether a constant is included.
hasIntercept() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
  Returns true if the regression model has been computed including an intercept.
hasIntercept - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
  include an intercept or not
hasIntercept() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns true if the model includes an intercept term.
hasIntercept() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
  Returns true if a constant has been included false otherwise.
hasNext() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
  Deprecated.
hasNext() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
  Deprecated.
hasNext() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
hasNext() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
  Check if there is a next element in the map.
hasNext() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
  Check if there is a next element in the map.
HERMITE_COEFFICIENTS - Static variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Coefficients for Hermite polynomials.
HermiteInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Polynomial interpolator using both sample values and sample derivatives.
HermiteInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
  Create an empty interpolator.
HessenbergTransformer - Class in org.apache.commons.math3.linear
  Class transforming a general real matrix to Hessenberg form.
HessenbergTransformer(RealMatrix) - Constructor for class org.apache.commons.math3.linear.HessenbergTransformer
  Build the transformation to Hessenberg form of a general matrix.
HEX_40000000 - Static variable in class org.apache.commons.math3.util.FastMath
  0x40000000 - used to split a double into two parts, both with the low order bits cleared.
HEX_40000000 - Static variable in class org.apache.commons.math3.util.FastMathCalc
  0x40000000 - used to split a double into two parts, both with the low order bits cleared.
hi - Variable in class org.apache.commons.math3.analysis.function.Logit
  Higher bound.
hi - Variable in class org.apache.commons.math3.analysis.function.Sigmoid
  Higher asymptote.
hi - Variable in exception org.apache.commons.math3.exception.NoBracketingException
  Higher end of the interval.
hi - Variable in exception org.apache.commons.math3.exception.OutOfRangeException
  Higher bound.
hi - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
  Higher bound of the bracket.
hi - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Higher bound of the bracket.
HighamHall54Integrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations.
HighamHall54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
  Simple constructor.
HighamHall54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
  Simple constructor.
HighamHall54StepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
  This class represents an interpolator over the last step during an ODE integration for the 5(4) Higham and Hall integrator.
HighamHall54StepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54StepInterpolator
  Simple constructor.
HighamHall54StepInterpolator(HighamHall54StepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54StepInterpolator
  Copy constructor.
historySize - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Size of history queue of best values.
historySize - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Size of history queue of best values.
homoscedasticT(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
homoscedasticT(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
homoscedasticT(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes a 2-sample t statistic, under the hypothesis of equal subpopulation variances.
homoscedasticT(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes a 2-sample t statistic, comparing the means of the datasets described by two `StatisticalSummary` instances, under the assumption of equal subpopulation variances.
homoscedasticT(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes t test statistic for 2-sample t-test under the hypothesis of equal subpopulation variances.
homoscedasticTTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
homoscedasticTTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
homoscedasticTTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays, under the assumption that the two samples are drawn from subpopulations with equal variances.
homoscedasticTTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Performs a two-sided t-test evaluating the null hypothesis that `sample1` and `sample2` are drawn from populations with the same mean, with significance level `alpha`, assuming that the subpopulation variances are equal.
homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
  Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances.
homoscedasticTTest(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes p-value for 2-sided, 2-sample t-test, under the assumption of equal subpopulation variances.
householderVectors - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
  Householder vectors.
householderVectors - Variable in class org.apache.commons.math3.linear.HessenbergTransformer
  Householder vectors.
householderVectors - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
  Householder vectors.
hP - Variable in class org.apache.commons.math3.ode.ParameterConfiguration
  Parameter step for finite difference computation.
hParam - Variable in class org.apache.commons.math3.ode.ParameterJacobianWrapper
  Steps for finite difference computation of the Jacobian df/dp w.r.t.
hY - Variable in class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
  Steps for finite difference computation of the jacobian df/dy w.r.t.
HypergeometricDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the hypergeometric distribution.
HypergeometricDistribution(int, int, int) - Constructor for class org.apache.commons.math3.distribution.HypergeometricDistribution
  Construct a new hypergeometric distribution with the specified population size, number of successes in the population, and sample size.
HypergeometricDistribution(RandomGenerator, int, int, int) - Constructor for class org.apache.commons.math3.distribution.HypergeometricDistribution
  Creates a new hypergeometric distribution.
hyperplane - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Underlying hyperplane.
Hyperplane<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
  This interface represents an hyperplane of a space.
hypot(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Returns the hypotenuse of a triangle with sides `x` and `y` - sqrt(x2 +y2)
  avoiding intermediate overflow or underflow.
hypot(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Returns the hypotenuse of a triangle with sides `x` and `y` - sqrt(x2 +y2)
  avoiding intermediate overflow or underflow.

## I

I - Static variable in class org.apache.commons.math3.complex.Complex
  The square root of -1.
I - Static variable in class org.apache.commons.math3.complex.Quaternion
  i
i1 - Variable in class org.apache.commons.math3.random.AbstractWell
  Index indirection table giving for each index the value index + m1 taking table size into account.
i2 - Variable in class org.apache.commons.math3.random.AbstractWell
  Index indirection table giving for each index the value index + m2 taking table size into account.
i2s2 - Variable in class org.apache.commons.math3.analysis.function.Gaussian
  Inverse of twice the square of the standard deviation.
i3 - Variable in class org.apache.commons.math3.random.AbstractWell
  Index indirection table giving for each index the value index + m3 taking table size into account.
Identity - Class in org.apache.commons.math3.analysis.function
  Identity function.
Identity() - Constructor for class org.apache.commons.math3.analysis.function.Identity
IDENTITY - Static variable in class org.apache.commons.math3.complex.Quaternion
  Identity quaternion.
IDENTITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Identity rotation.
identityPermutation(int) - Static method in class org.apache.commons.math3.genetics.RandomKey
  Generates a representation corresponding to an identity permutation of length l which can be passed to the RandomKey constructor.
ieeeFlags - Variable in class org.apache.commons.math3.dfp.DfpField
  IEEE 854-1987 signals.
IEEEremainder(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Computes the remainder as prescribed by the IEEE 754 standard.
IllConditionedOperatorException - Exception in org.apache.commons.math3.linear
  An exception to be thrown when the condition number of a `RealLinearOperator` is too high.
IllConditionedOperatorException(double) - Constructor for exception org.apache.commons.math3.linear.IllConditionedOperatorException
  Creates a new instance of this class.
IllinoisSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements the Illinois method for root-finding (approximating a zero of a univariate real function).
IllinoisSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
  Construct a solver with default accuracy (1e-6).
IllinoisSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
  Construct a solver.
IllinoisSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
  Construct a solver.
IllinoisSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
  Construct a solver.
illumination() - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
  Get the illumination of the element.
imagEigenvalues - Variable in class org.apache.commons.math3.linear.EigenDecomposition
  Imaginary part of the realEigenvalues.
imagEigenvalues - Variable in class org.apache.commons.math3.linear.EigenDecomposition.Solver
  Imaginary part of the realEigenvalues.
imaginary - Variable in class org.apache.commons.math3.complex.Complex
  The imaginary part.
imaginaryCharacter - Variable in class org.apache.commons.math3.complex.ComplexFormat
  The notation used to signify the imaginary part of the complex number.
imaginaryFormat - Variable in class org.apache.commons.math3.complex.ComplexFormat
  The format used for the imaginary part.
IMPLICIT_ONE - Static variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Implicit MSB for normalized numbers.
include(double[], double, double) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  The include method is where the QR decomposition occurs.
incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Determines whether or not this statistic can be incremented or cleared.
incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Determines whether or not this statistic can be incremented or cleared.
incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Determines whether or not this statistic can be incremented or cleared.
incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Whether or not `Variance.increment(double)` should increment the internal second moment.
incoming - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
  Incoming edge.
increasing - Variable in class org.apache.commons.math3.ode.events.EventState
  Variation direction around pending event.
increment(double, double) - Method in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
  Update the covariance estimation with a pair of variables (x, y).
increment(double[]) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Increment the covariance matrix with one row of data.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
  Add a new vector to the sample.
increment(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
  Add a new vector to the sample.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Updates the internal state of the statistic to reflect the addition of the new value.
incrementAll(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  This default implementation just calls `AbstractStorelessUnivariateStatistic.increment(double)` in a loop over the input array.
incrementAll(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
  This default implementation just calls `AbstractStorelessUnivariateStatistic.increment(double)` in a loop over the specified portion of the input array.
incrementAll(double[]) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
  Updates the internal state of the statistic to reflect addition of all values in the values array.
incrementAll(double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
  Updates the internal state of the statistic to reflect addition of the values in the designated portion of the values array.
incrementCount(int) - Method in class org.apache.commons.math3.util.Incrementor
  Performs multiple increments.
incrementCount() - Method in class org.apache.commons.math3.util.Incrementor
  Adds one to the current iteration count.
incrementEvaluationCount() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Increment the evaluation count by one.
incrementEvaluationCount() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Increment the evaluation count.
incrementIterationCount() - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Increment the iteration count.
incrementIterationCount() - Method in class org.apache.commons.math3.util.IterationManager
  Increments the iteration count by one, and throws an exception if the maximum number of iterations is reached.
incrementIterationsCounter() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Increment the iterations counter by 1.
Incrementor - Class in org.apache.commons.math3.util
  Utility that increments a counter until a maximum is reached, at which point, the instance will by default throw a `MaxCountExceededException`.
Incrementor() - Constructor for class org.apache.commons.math3.util.Incrementor
  Default constructor.
Incrementor(int) - Constructor for class org.apache.commons.math3.util.Incrementor
  Defines a maximal count.
Incrementor(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.Incrementor
  Defines a maximal count and a callback method to be triggered at counter exhaustion.
Incrementor.MaxCountExceededCallback - Interface in org.apache.commons.math3.util
  Defines a method to be called at counter exhaustion.
incrementValue(Comparable<?>, long) - Method in class org.apache.commons.math3.stat.Frequency
  Increments the frequency count for v.
index - Variable in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
  Index of the wrong value.
index - Variable in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
  Index (diagonal element).
index - Variable in class org.apache.commons.math3.linear.RealVector.Entry
  Index of this entry.
index - Variable in class org.apache.commons.math3.ode.ContinuousOutputModel
  Current interpolator index.
index - Variable in class org.apache.commons.math3.ode.JacobianMatrices
  Index of the instance in the expandable set.
index - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
  Index into sorted array.
index - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
  Deprecated.
  Index into sorted array.
index - Variable in class org.apache.commons.math3.random.AbstractWell
  Current index in the bytes pool.
indexOf(int, int) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Returns the index (i, j) translated into the one-dimensional array used to store the upper triangular part of the symmetric covariance matrix.
inducedPermutation(List<S>, List<S>) - Static method in class org.apache.commons.math3.genetics.RandomKey
  Generates a representation of a permutation corresponding to a permutation which yields `permutedData` when applied to `originalData`.
INF - Static variable in class org.apache.commons.math3.complex.Complex
  A complex number representing "+INF + INFi"
INFINITE - Static variable in class org.apache.commons.math3.dfp.Dfp
  Indicator value for Infinity.
INFINITE_WINDOW - Static variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Represents an infinite window size.
init() - Method in class org.apache.commons.math3.linear.SymmLQ.State
  Performs the initial phase of the SYMMLQ algorithm.
init(double, double[], double) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Initialize step handler at the start of an ODE integration.
init(double, double[], double) - Method in interface org.apache.commons.math3.ode.events.EventHandler
  Initialize event handler at the start of an ODE integration.
init(double, double[], double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
  Initialize step handler at the start of an ODE integration.
init(double, double[], double) - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
  Initialize step handler at the start of an ODE integration.
init(double, double[], double) - Method in interface org.apache.commons.math3.ode.sampling.FixedStepHandler
  Initialize step handler at the start of an ODE integration.
init(double, double[], double) - Method in interface org.apache.commons.math3.ode.sampling.StepHandler
  Initialize step handler at the start of an ODE integration.
init(double, double[], double) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
  Initialize step handler at the start of an ODE integration.
init - Variable in class org.apache.commons.math3.optim.InitialGuess
  Initial guess.
init - Variable in class org.apache.commons.math3.optimization.InitialGuess
  Deprecated.
  Initial guess.
initialErrorCovMatrix - Variable in class org.apache.commons.math3.filter.DefaultProcessModel
  The initial error covariance matrix of the observed process.
InitialGuess - Class in org.apache.commons.math3.optim
  Starting point (first guess) of the optimization procedure.
InitialGuess(double[]) - Constructor for class org.apache.commons.math3.optim.InitialGuess
InitialGuess - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
InitialGuess(double[]) - Constructor for class org.apache.commons.math3.optimization.InitialGuess
  Deprecated.
initialGuessIndex - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Location in `BaseMultiStartMultivariateOptimizer.optimData` where the updated start value will be stored.
initializationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
  Invoked after completion of the initial phase of the iterative algorithm (prior to the main iteration loop).
initializeArrays() - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Initialize the integrator internal arrays.
initializeCMA(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Initialization of the dynamic search parameters
initializeCMA(double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Initialization of the dynamic search parameters
initializeColumnLabels() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Initialize the labels for the columns.
initializeColumnLabels() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Initialize the labels for the columns.
initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Initialize the high order scaled derivatives at step start.
initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in interface org.apache.commons.math3.ode.MultistepIntegrator.NordsieckTransformer
  Initialize the high order scaled derivatives at step start.
initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
  Initialize the high order scaled derivatives at step start.
initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
  Initialize the high order scaled derivatives at step start.
initializeMatrix(boolean) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Initialize the internal two-dimensional array of `StorelessBivariateCovariance` instances.
initializeStep(boolean, int, double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Initialize the integration step.
initialStateEstimateVector - Variable in class org.apache.commons.math3.filter.DefaultProcessModel
  The initial state estimation of the observed process.
initialStep - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  User supplied initial step.
initialStep - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
  Initial step.
initialStep - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Initial step used to bracket the optimum in line search.
initialStep - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  Initial step used to bracket the optimum in line search.
initialStepBoundFactor - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Positive input variable used in determining the initial step bound.
initialStepBoundFactor - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Positive input variable used in determining the initial step bound.
initialTime - Variable in class org.apache.commons.math3.ode.ContinuousOutputModel
  Initial integration time.
initialTrustRegionRadius - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  initialTrustRegionRadius XXX
initialTrustRegionRadius - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  initialTrustRegionRadius XXX
initIntegration(double, double[], double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Prepare the start of an integration.
initQRStep(int, int, SchurTransformer.ShiftInfo, double[]) - Method in class org.apache.commons.math3.linear.SchurTransformer
  Initialize the householder vectors for the QR step.
initRan() - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Sets the default generator to a `Well19937c` generator seeded with `System.currentTimeMillis() + System.identityHashCode(this))`.
initState() - Method in class org.apache.commons.math3.random.ISAACRandom
  Initialize, or reinitialize, this instance of rand.
innerCumulativeProbability(int, int, int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  For this distribution, `X`, this method returns `P(x0 <= X <= x1)`.
inputArray - Variable in class org.apache.commons.math3.random.EmpiricalDistribution.ArrayDataAdapter
  Array of input data values
inputSigma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
inputSigma - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
inputStream - Variable in class org.apache.commons.math3.random.EmpiricalDistribution.StreamDataAdapter
  Input stream providing access to the data
insert(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Insert an element in the tree.
insert(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Insert an element in a sub-tree.
insertCut(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Insert a cut sub-hyperplane in a node.
insertCuts(BSPTree<S>, Collection<SubHyperplane<S>>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Recursively build a tree by inserting cut sub-hyperplanes.
insertEdges(double, BSPTree<Euclidean2D>, List<PolygonsSet.Edge>) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Recursively build a tree by inserting cut sub-hyperplanes.
insertEquationData(double[], double[]) - Method in class org.apache.commons.math3.ode.EquationsMapper
  Insert equation data into a complete state or derivative array.
insertInTree(BSPTree<S>, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Insert the instance into another tree.
insertionSort(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Sort in place a (small) array slice using insertion sort
INSTANCE - Static variable in class org.apache.commons.math3.complex.ComplexField.LazyHolder
  Cached field instance.
INSTANCE - Static variable in class org.apache.commons.math3.fraction.BigFractionField.LazyHolder
  Cached field instance.
INSTANCE - Static variable in class org.apache.commons.math3.fraction.FractionField.LazyHolder
  Cached field instance.
INSTANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D.LazyHolder
  Cached field instance.
INSTANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D.LazyHolder
  Cached field instance.
INSTANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D.LazyHolder
  Cached field instance.
INSTANCE - Static variable in class org.apache.commons.math3.ode.sampling.DummyStepHandler.LazyHolder
  Cached field instance.
INSTANCE - Static variable in class org.apache.commons.math3.util.BigRealField.LazyHolder
  Cached field instance.
INSTANCE - Static variable in class org.apache.commons.math3.util.Decimal64Field
  The unique instance of this class.
IntegerDistribution - Interface in org.apache.commons.math3.distribution
  Interface for distributions on the integers.
integrate(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Integrate the function in the given interval.
integrate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
  Returns an estimate of the integral of `f(x) * w(x)`, where `w` is a weight function that depends on the actual flavor of the Gauss integration scheme.
integrate(int, UnivariateFunction, double, double) - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
  Integrate the function in the given interval.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Integrate the differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Integrate a set of differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in interface org.apache.commons.math3.ode.FirstOrderIntegrator
  Integrate the differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
  Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
  Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
  Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
  Integrate a set of differential equations up to the given time.
integrate(SecondOrderDifferentialEquations, double, double[], double[], double, double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondOrderIntegrator
  Integrate the differential equations up to the given time
integrator - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
  Reference to the integrator.
internalArray - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
  The internal storage array.
interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
  Compute an interpolating function for the dataset.
interpolate(double[], double[], double[][]) - Method in interface org.apache.commons.math3.analysis.interpolation.BivariateGridInterpolator
  Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
  Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LinearInterpolator
  Computes a linear interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Compute an interpolating function by performing a loess fit on the data at the original abscissae and then building a cubic spline with a `SplineInterpolator` on the resulting fit.
interpolate(double[][], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
  Computes an interpolating function for the data set.
interpolate(double[][], double[]) - Method in interface org.apache.commons.math3.analysis.interpolation.MultivariateInterpolator
  Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator
  Computes an interpolating function for the data set.
interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
  Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.SplineInterpolator
  Computes an interpolating function for the data set.
interpolate(double[], double[], double[], double[][][]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
  Compute an interpolating function for the dataset.
interpolate(double[], double[], double[], double[][][]) - Method in interface org.apache.commons.math3.analysis.interpolation.TrivariateGridInterpolator
  Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in interface org.apache.commons.math3.analysis.interpolation.UnivariateInterpolator
  Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
  Compute an interpolating function for the dataset.
interpolatedDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  interpolated derivatives
interpolatedPrimaryDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  interpolated primary derivatives
interpolatedPrimaryState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  interpolated primary state
interpolatedSecondaryDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  interpolated secondary derivatives
interpolatedSecondaryState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  interpolated secondary state
interpolatedState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  interpolated state
interpolatedTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  interpolated time
interpolateXAtY(WeightedObservedPoint[], int, int, double) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
  Interpolates using the specified points to determine X at the specified Y.
interpolateXAtY(WeightedObservedPoint[], int, int, double) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
  Deprecated.
  Interpolates using the specified points to determine X at the specified Y.
interpolationPoints - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Coordinates of the interpolation points relative to `BOBYQAOptimizer.originShift`.
interpolationPoints - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Coordinates of the interpolation points relative to `BOBYQAOptimizer.originShift`.
interpolator - Variable in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
  Interpolator.
intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Get the intersection point of the instance and another line.
intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the intersection of a line with the instance.
intersection(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Build the line shared by the instance and another plane.
intersection(Plane, Plane, Plane) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Get the intersection point of three planes.
intersection(SubLine, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
  Get the intersection of the instance and another sub-line.
intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Get the intersection point of the instance and another line.
intersection(SubLine, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Get the intersection of the instance and another sub-line.
intersection(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Get the parts of a sub-hyperplane that are contained in the region.
intersection(SubHyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Get the parts of a sub-hyperplane that are contained in the region.
intersection(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Compute the intersection of two regions.
Interval - Class in org.apache.commons.math3.geometry.euclidean.oned
  This class represents a 1D interval.
Interval(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Interval
  Simple constructor.
IntervalsSet - Class in org.apache.commons.math3.geometry.euclidean.oned
  This class represents a 1D region: a set of intervals.
IntervalsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Build an intervals set representing the whole real line.
IntervalsSet(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Build an intervals set corresponding to a single interval.
IntervalsSet(BSPTree<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Build an intervals set from an inside/outside BSP tree.
IntervalsSet(Collection<SubHyperplane<Euclidean1D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Build an intervals set from a Boundary REPresentation (B-rep).
intValue() - Method in class org.apache.commons.math3.dfp.Dfp
  Convert this to an integer.
intValue() - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction as an `int`.
intValue() - Method in class org.apache.commons.math3.fraction.Fraction
  Gets the fraction as an `int`.
intValue() - Method in class org.apache.commons.math3.util.Decimal64
  The current implementation performs casting to a `int`.
INV_GAMMA1P_M1_A0 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `A0` defined in `DGAM1`.
INV_GAMMA1P_M1_A1 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `A1` defined in `DGAM1`.
INV_GAMMA1P_M1_B1 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `B1` defined in `DGAM1`.
INV_GAMMA1P_M1_B2 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `B2` defined in `DGAM1`.
INV_GAMMA1P_M1_B3 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `B3` defined in `DGAM1`.
INV_GAMMA1P_M1_B4 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `B4` defined in `DGAM1`.
INV_GAMMA1P_M1_B5 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `B5` defined in `DGAM1`.
INV_GAMMA1P_M1_B6 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `B6` defined in `DGAM1`.
INV_GAMMA1P_M1_B7 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `B7` defined in `DGAM1`.
INV_GAMMA1P_M1_B8 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `B8` defined in `DGAM1`.
INV_GAMMA1P_M1_C - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `C` defined in `DGAM1`.
INV_GAMMA1P_M1_C0 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `C0` defined in `DGAM1`.
INV_GAMMA1P_M1_C1 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `C1` defined in `DGAM1`.
INV_GAMMA1P_M1_C10 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `C10` defined in `DGAM1`.
INV_GAMMA1P_M1_C11 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `C11` defined in `DGAM1`.
INV_GAMMA1P_M1_C12 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `C12` defined in `DGAM1`.
INV_GAMMA1P_M1_C13 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `C13` defined in `DGAM1`.
INV_GAMMA1P_M1_C2 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `C2` defined in `DGAM1`.
INV_GAMMA1P_M1_C3 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `C3` defined in `DGAM1`.
INV_GAMMA1P_M1_C4 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `C4` defined in `DGAM1`.
INV_GAMMA1P_M1_C5 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `C5` defined in `DGAM1`.
INV_GAMMA1P_M1_C6 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `C6` defined in `DGAM1`.
INV_GAMMA1P_M1_C7 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `C7` defined in `DGAM1`.
INV_GAMMA1P_M1_C8 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `C8` defined in `DGAM1`.
INV_GAMMA1P_M1_C9 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `C9` defined in `DGAM1`.
INV_GAMMA1P_M1_P0 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `P0` defined in `DGAM1`.
INV_GAMMA1P_M1_P1 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `P1` defined in `DGAM1`.
INV_GAMMA1P_M1_P2 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `P2` defined in `DGAM1`.
INV_GAMMA1P_M1_P3 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `P3` defined in `DGAM1`.
INV_GAMMA1P_M1_P4 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `P4` defined in `DGAM1`.
INV_GAMMA1P_M1_P5 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `P5` defined in `DGAM1`.
INV_GAMMA1P_M1_P6 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `P6` defined in `DGAM1`.
INV_GAMMA1P_M1_Q1 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `Q1` defined in `DGAM1`.
INV_GAMMA1P_M1_Q2 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `Q2` defined in `DGAM1`.
INV_GAMMA1P_M1_Q3 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `Q3` defined in `DGAM1`.
INV_GAMMA1P_M1_Q4 - Static variable in class org.apache.commons.math3.special.Gamma
  The constant `Q4` defined in `DGAM1`.
InvalidRepresentationException - Exception in org.apache.commons.math3.genetics
  Exception indicating that the representation of a chromosome is not valid.
InvalidRepresentationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.genetics.InvalidRepresentationException
  Construct an InvalidRepresentationException with a specialized message.
Inverse - Class in org.apache.commons.math3.analysis.function
  Inverse function.
Inverse() - Constructor for class org.apache.commons.math3.analysis.function.Inverse
inverse(int[]) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
inverse(int[]) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
inverse(double[], int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  This internal method calculates the inverse of the upper-triangular portion of the R matrix.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Computes the quantile function of this distribution.
invGamma1pm1(double) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the value of 1 / Γ(1 + x) - 1 for -0.5 ≤ x ≤ 1.5.
iRm1 - Variable in class org.apache.commons.math3.random.AbstractWell
  Index indirection table giving for each index its predecessor taking table size into account.
iRm2 - Variable in class org.apache.commons.math3.random.AbstractWell
  Index indirection table giving for each index its second predecessor taking table size into account.
is - Variable in class org.apache.commons.math3.analysis.function.Gaussian
  Inverse of the standard deviation.
isaac() - Method in class org.apache.commons.math3.random.ISAACRandom
  Generate 256 results
isaac2() - Method in class org.apache.commons.math3.random.ISAACRandom
  Intermediate internal loop.
isaac3() - Method in class org.apache.commons.math3.random.ISAACRandom
  Lowest level internal loop.
isaacA - Variable in class org.apache.commons.math3.random.ISAACRandom
  Accumulator
isaacB - Variable in class org.apache.commons.math3.random.ISAACRandom
  The last result
isaacC - Variable in class org.apache.commons.math3.random.ISAACRandom
  Counter, guarantees cycle is at least 2^40
isaacI - Variable in class org.apache.commons.math3.random.ISAACRandom
  Service variable.
isaacJ - Variable in class org.apache.commons.math3.random.ISAACRandom
  Service variable.
ISAACRandom - Class in org.apache.commons.math3.random
  ISAAC: a fast cryptographic pseudo-random number generator
  ISAAC (Indirection, Shift, Accumulate, Add, and Count) generates 32-bit random numbers.
ISAACRandom() - Constructor for class org.apache.commons.math3.random.ISAACRandom
  Creates a new ISAAC random number generator.
ISAACRandom(long) - Constructor for class org.apache.commons.math3.random.ISAACRandom
  Creates a new ISAAC random number generator using a single long seed.
ISAACRandom(int[]) - Constructor for class org.apache.commons.math3.random.ISAACRandom
  Creates a new ISAAC random number generator using an int array seed.
isaacX - Variable in class org.apache.commons.math3.random.ISAACRandom
  Service variable.
isActiveCMA - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Covariance update mechanism, default is active CMA.
isActiveCMA - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Covariance update mechanism, default is active CMA.
isBetween(double, double, double) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
  Determines whether a value is between two other values.
isBetween(double, double, double) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
  Deprecated.
  Determines whether a value is between two other values.
isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Returns true iff biasCorrected property is set to true.
isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
isBiasCorrected - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Whether or not bias correction is applied when computing the value of the statistic.
isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
isBiasCorrected - Variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
  Indicator for bias correction.
isBracketing(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Check whether the function takes opposite signs at the endpoints.
isBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Check whether the interval bounds bracket a root.
isCounterClockWise - Variable in class org.apache.commons.math3.complex.RootsOfUnity
  `true` if `RootsOfUnity.computeRoots(int)` was called with a positive value of its argument `n`.
isCounterClockWise() - Method in class org.apache.commons.math3.complex.RootsOfUnity
  Returns `true` if `RootsOfUnity.computeRoots(int)` was called with a positive value of its argument `n`.
isDefaultValue(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Determine if this value is within epsilon of zero.
isDirect() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Check if the hyperplane orientation is direct.
isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Check if the instance is empty.
isEmpty(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Check if the sub-tree starting at a given node is empty.
isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Check if the instance is empty.
isEmpty() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Check if the instance is empty.
isEmpty(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Check if the sub-tree starting at a given node is empty.
isEmpty() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
  Check if the instance is empty.
isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Check if the tree is empty.
isFeasible(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
isFeasible(double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
  Deprecated.
isForward() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Check if the natural integration direction is forward.
isForward() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Check if the natural integration direction is forward.
isInfinite - Variable in class org.apache.commons.math3.complex.Complex
  Record whether this complex number is infinite.
isInfinite() - Method in class org.apache.commons.math3.complex.Complex
  Checks whether either the real or imaginary part of this complex number takes an infinite value (either `Double.POSITIVE_INFINITY` or `Double.NEGATIVE_INFINITY`) and neither part is `NaN`.
isInfinite() - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is infinite.
isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in interface org.apache.commons.math3.geometry.Vector
  Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Check whether any coordinate of this vector is infinite and none are `NaN`.
isInfinite() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Check whether any coordinate of this vector is infinite and none are `NaN`.
isInfinite() - Method in class org.apache.commons.math3.linear.RealVector
  Check whether any coordinate of this vector is infinite and none are `NaN`.
isInfinite() - Method in class org.apache.commons.math3.util.Decimal64
  Returns `true` if `this` double precision number is infinite (`Double.POSITIVE_INFINITY` or `Double.NEGATIVE_INFINITY`).
isLastStep - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
  Indicator for last step.
isLoaded() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Property indicating whether or not the distribution has been loaded.
isMinimize - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Goal type (minimize or maximize).
isMinimize - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Number of objective variables/problem dimension
isMinimize - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Goal type (minimize or maximize).
isMinimize - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Number of objective variables/problem dimension
isMonotonic(T[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
  Check that an array is monotonically increasing or decreasing.
isMonotonic(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
  Check that an array is monotonically increasing or decreasing.
isNaN - Variable in class org.apache.commons.math3.complex.Complex
  Record whether this complex number is equal to NaN.
isNaN() - Method in class org.apache.commons.math3.complex.Complex
  Checks whether either or both parts of this complex number is `NaN`.
isNaN() - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is not a number.
isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Returns true if any coordinate of this vector is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Returns true if any coordinate of this vector is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Returns true if any coordinate of this vector is NaN; false otherwise
isNaN() - Method in interface org.apache.commons.math3.geometry.Vector
  Returns true if any coordinate of this vector is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Check if any coordinate of this vector is `NaN`.
isNaN() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Check whether any coordinate of this vector is `NaN`.
isNaN() - Method in class org.apache.commons.math3.linear.RealVector
  Check whether any coordinate of this vector is `NaN`.
isNaN() - Method in class org.apache.commons.math3.util.Decimal64
  Returns `true` if `this` double precision number is Not-a-Number (`NaN`), false otherwise.
isNextInStep(double, StepInterpolator) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
  Returns a value indicating whether the next normalized time is in the current step.
isNoIntercept() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
isNonSingular() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
  Check if the decomposed matrix is non-singular.
isNonSingular() - Method in interface org.apache.commons.math3.linear.DecompositionSolver
  Check if the decomposed matrix is non-singular.
isNonSingular() - Method in class org.apache.commons.math3.linear.EigenDecomposition.Solver
  Checks whether the decomposed matrix is non-singular.
isNonSingular() - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
  Check if the decomposed matrix is non-singular.
isNonSingular() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
  Check if the decomposed matrix is non-singular.
isNonSingular() - Method in class org.apache.commons.math3.linear.LUDecomposition.Solver
  Check if the decomposed matrix is non-singular.
isNonSingular() - Method in class org.apache.commons.math3.linear.QRDecomposition.Solver
  Check if the decomposed matrix is non-singular.
isNonSingular() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
  Check if the decomposed matrix is non-singular.
isOptimal() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Returns whether the problem is at an optimal state.
isOptimal() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Returns whether the problem is at an optimal state.
isParallelTo(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Check the instance is parallel to another line.
isPowerOfTwo(long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Returns true if the argument is a power of two.
isPureQuaternion(double) - Method in class org.apache.commons.math3.complex.Quaternion
  Checks whether the instance is a pure quaternion within a given tolerance.
isRandomStart() - Method in class org.apache.commons.math3.genetics.CycleCrossover
  Returns whether the starting index is chosen randomly or set to zero.
isRepairMode - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
  Flag indicating whether the objective variables are forced into their bounds if defined
isRepairMode - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
  Deprecated.
  Flag indicating whether the objective variables are forced into their bounds if defined
isRestricted - Variable in class org.apache.commons.math3.optim.linear.NonNegativeConstraint
  Whether the variables are all positive.
isRestrictedToNonNegative() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
isRestrictedToNonNegative() - Method in class org.apache.commons.math3.optim.linear.NonNegativeConstraint
  Indicates whether all the variables must be restricted to non-negative values.
isRoot(double, double, Complex) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver.ComplexSolver
  Check whether the given complex root is actually a real zero in the given interval, within the solver tolerance level.
isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.BinaryChromosome
isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.Chromosome
  Returns `true` iff `another` has the same representation and therefore the same fitness.
isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.RandomKey
  Returns `true` iff `another` is a RandomKey and encodes the same permutation.
isSatisfied(Population) - Method in class org.apache.commons.math3.genetics.FixedElapsedTime
  Determine whether or not the maximum allowed time has passed.
isSatisfied(Population) - Method in class org.apache.commons.math3.genetics.FixedGenerationCount
  Determine whether or not the given number of generations have passed.
isSatisfied(Population) - Method in interface org.apache.commons.math3.genetics.StoppingCondition
  Determine whether or not the given population satisfies the stopping condition.
isSequence(double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Check whether the arguments form a (strictly) increasing sequence.
isSequence(double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Check whether the arguments form a (strictly) increasing sequence.
isSimilarTo(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Check if the instance is similar to another line.
isSimilarTo(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Check if the instance is similar to another plane.
isSquare() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Is this a square matrix?
isSquare() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Is this a square matrix?
isSquare() - Method in interface org.apache.commons.math3.linear.AnyMatrix
  Is this a square matrix?
isSupportConnected() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.FDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.PascalDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.TDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Use this method to get information about whether the support is connected, i.e.
isSupported(String) - Method in class org.apache.commons.math3.ode.AbstractParameterizable
  Check if a parameter is supported.
isSupported(String) - Method in interface org.apache.commons.math3.ode.Parameterizable
  Check if a parameter is supported.
isSupported(String) - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
  Check if a parameter is supported.
isSupported(String) - Method in class org.apache.commons.math3.ode.ParameterJacobianWrapper
  Check if a parameter is supported.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.FDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Deprecated.
  to be removed in 4.0
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.TDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Whether or not the lower bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.FDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Deprecated.
  to be removed in 4.0
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.TDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Whether or not the upper bound of support is in the domain of the density function.
isSymmetric - Variable in class org.apache.commons.math3.linear.EigenDecomposition
  Whether the matrix is symmetric.
isSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Checks whether a matrix is symmetric.
isSymmetricInternal(RealMatrix, double, boolean) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Checks whether a matrix is symmetric, within a given relative tolerance.
isSymmetricVCD - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
  boolean flag for variance covariance matrix in symm compressed storage
isTransposable() - Method in class org.apache.commons.math3.linear.RealLinearOperator
  Returns `true` if this operator supports `RealLinearOperator.operateTranspose(RealVector)`.
isUnitQuaternion(double) - Method in class org.apache.commons.math3.complex.Quaternion
  Checks whether the instance is a unit quaternion within a given tolerance.
isUpperBiDiagonal() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
  Check if the matrix is transformed to upper bi-diagonal.
isZero() - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is equal to zero.
iter - Variable in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
  Deprecated.
  Iterator pointing to the entry.
iter - Variable in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
  Deprecated.
  Underlying iterator.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Compute the next simplex of the algorithm.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Compute the next simplex of the algorithm.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Compute the next simplex of the algorithm.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Compute the next simplex of the algorithm.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Compute the next simplex of the algorithm.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Compute the next simplex of the algorithm.
ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optim.SimplePointChecker
  If `SimplePointChecker.maxIterationCount` is set to this value, the number of iterations will never cause `SimplePointChecker.converged(int, Pair, Pair)` to return `true`.
ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optim.SimpleValueChecker
  If `SimpleValueChecker.maxIterationCount` is set to this value, the number of iterations will never cause `SimpleValueChecker.converged(int,PointValuePair,PointValuePair)` to return `true`.
ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optim.SimpleVectorValueChecker
  If `SimpleVectorValueChecker.maxIterationCount` is set to this value, the number of iterations will never cause `SimpleVectorValueChecker.converged(int,PointVectorValuePair,PointVectorValuePair)` to return `true`.
ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
  If `SimpleUnivariateValueChecker.maxIterationCount` is set to this value, the number of iterations will never cause `SimpleUnivariateValueChecker.converged(int,UnivariatePointValuePair,UnivariatePointValuePair)` to return `true`.
ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optimization.SimplePointChecker
  Deprecated.
  If `SimplePointChecker.maxIterationCount` is set to this value, the number of iterations will never cause `SimplePointChecker.converged(int, Pair, Pair)` to return `true`.
ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optimization.SimpleValueChecker
  Deprecated.
  If `SimpleValueChecker.maxIterationCount` is set to this value, the number of iterations will never cause `SimpleValueChecker.converged(int,PointValuePair,PointValuePair)` to return `true`.
ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optimization.SimpleVectorValueChecker
  Deprecated.
  If `SimpleVectorValueChecker.maxIterationCount` is set to this value, the number of iterations will never cause `SimpleVectorValueChecker.converged(int,PointVectorValuePair,PointVectorValuePair)` to return `true`.
ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
  Deprecated.
  If `SimpleUnivariateValueChecker.maxIterationCount` is set to this value, the number of iterations will never cause `SimpleUnivariateValueChecker.converged(int,UnivariatePointValuePair,UnivariatePointValuePair)` to return `true`.
IterationEvent - Class in org.apache.commons.math3.util
  The root class from which all events occurring while running an `IterationManager` should be derived.
IterationEvent(Object, int) - Constructor for class org.apache.commons.math3.util.IterationEvent
  Creates a new instance of this class.
IterationListener - Interface in org.apache.commons.math3.util
  The listener interface for receiving events occurring in an iterative algorithm.
IterationManager - Class in org.apache.commons.math3.util
  This abstract class provides a general framework for managing iterative algorithms.
IterationManager(int) - Constructor for class org.apache.commons.math3.util.IterationManager
  Creates a new instance of this class.
IterationManager(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.IterationManager
  Creates a new instance of this class.
iterationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
  Invoked each time an iteration is completed (in the main iteration loop).
iterations - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  The iteration count.
iterations - Variable in class org.apache.commons.math3.optim.BaseOptimizer
  Iterations counter.
iterations - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Number of iterations already performed.
iterations - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Number of iterations already performed.
iterations - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Number of iterations already performed.
iterations - Variable in class org.apache.commons.math3.util.IterationEvent
  The number of iterations performed so far.
iterations - Variable in class org.apache.commons.math3.util.IterationManager
  Keeps a count of the number of iterations.
iterationStarted(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
  Invoked each time a new iteration is completed (in the main iteration loop).
IterativeLegendreGaussIntegrator - Class in org.apache.commons.math3.analysis.integration
  This algorithm divides the integration interval into equally-sized sub-interval and on each of them performs a Legendre-Gauss quadrature.
IterativeLegendreGaussIntegrator(int, double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
  Builds an integrator with given accuracies and iterations counts.
IterativeLegendreGaussIntegrator(int, double, double) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
  Builds an integrator with given accuracies.
IterativeLegendreGaussIntegrator(int, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
  Builds an integrator with given iteration counts.
IterativeLinearSolver - Class in org.apache.commons.math3.linear
  This abstract class defines an iterative solver for the linear system A · x = b.
IterativeLinearSolver(int) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolver
  Creates a new instance of this class, with default iteration manager.
IterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolver
  Creates a new instance of this class, with custom iteration manager.
IterativeLinearSolverEvent - Class in org.apache.commons.math3.linear
  This is the base class for all events occuring during the iterations of a `IterativeLinearSolver`.
IterativeLinearSolverEvent(Object, int) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolverEvent
  Creates a new instance of this class.
iterator() - Method in class org.apache.commons.math3.genetics.ListPopulation
  Returns an iterator over the unmodifiable list of chromosomes.
iterator() - Method in class org.apache.commons.math3.linear.RealVector
  Generic dense iterator.
iterator() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
  Create an iterator over this counter.
iterator() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Get an iterator over map elements.
iterator() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Get an iterator over map elements.

## J

J - Static variable in class org.apache.commons.math3.complex.Quaternion
  j
jacNorm - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Norms of the columns of the jacobian matrix.
jacNorm - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Norms of the columns of the jacobian matrix.
JACOBI_COEFFICIENTS - Static variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Coefficients for Jacobi polynomials.
jacobian() - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateVectorFunction
  Deprecated.
  Returns the jacobian function.
jacobian - Variable in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
  Jacobian of the model function.
jacobian - Variable in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian
  Function to be optimized.
jacobian() - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter.OldTheoreticalValuesFunction
  Deprecated.
  Returns the jacobian function.
jacobianEvaluations - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Number of evaluations of the Jacobian.
JacobianFunction - Class in org.apache.commons.math3.analysis.differentiation
  Class representing the Jacobian of a multivariate vector function.
JacobianFunction(MultivariateDifferentiableVectorFunction) - Constructor for class org.apache.commons.math3.analysis.differentiation.JacobianFunction
  Simple constructor.
JacobianMatrices - Class in org.apache.commons.math3.ode
  This class defines a set of `secondary equations` to compute the Jacobian matrices with respect to the initial state vector and, if any, to some parameters of the primary ODE set.
JacobianMatrices(FirstOrderDifferentialEquations, double[], String...) - Constructor for class org.apache.commons.math3.ode.JacobianMatrices
  Simple constructor for a secondary equations set computing Jacobian matrices.
JacobianMatrices(MainStateJacobianProvider, String...) - Constructor for class org.apache.commons.math3.ode.JacobianMatrices
  Simple constructor for a secondary equations set computing Jacobian matrices.
JacobianMatrices.JacobiansSecondaryEquations - Class in org.apache.commons.math3.ode
  Local implementation of secondary equations.
JacobianMatrices.JacobiansSecondaryEquations() - Constructor for class org.apache.commons.math3.ode.JacobianMatrices.JacobiansSecondaryEquations
JacobianMatrices.MainStateJacobianWrapper - Class in org.apache.commons.math3.ode
  Wrapper class to compute jacobian matrices by finite differences for ODE which do not compute them by themselves.
JacobianMatrices.MainStateJacobianWrapper(FirstOrderDifferentialEquations, double[]) - Constructor for class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
  Wrap a `FirstOrderDifferentialEquations` into a `MainStateJacobianProvider`.
JacobianMatrices.MismatchedEquations - Exception in org.apache.commons.math3.ode
  Special exception for equations mismatch.
JacobianMatrices.MismatchedEquations() - Constructor for exception org.apache.commons.math3.ode.JacobianMatrices.MismatchedEquations
  Simple constructor.
JacobianMultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
  Base class for implementing optimizers for multivariate vector differentiable functions.
JacobianMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
jacobianProviders - Variable in class org.apache.commons.math3.ode.JacobianMatrices
  FODE with exact parameter Jacobian computation skill.
JacobiPreconditioner - Class in org.apache.commons.math3.linear
  This class implements the standard Jacobi (diagonal) preconditioner.
JacobiPreconditioner(double[], boolean) - Constructor for class org.apache.commons.math3.linear.JacobiPreconditioner
  Creates a new instance of this class.
JDKRandomGenerator - Class in org.apache.commons.math3.random
  Extension of `java.util.Random` to implement `RandomGenerator`.
JDKRandomGenerator() - Constructor for class org.apache.commons.math3.random.JDKRandomGenerator
jF - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Objective function derivatives.
jode - Variable in class org.apache.commons.math3.ode.JacobianMatrices
  FODE with exact primary Jacobian computation skill.

## K

k - Variable in class org.apache.commons.math3.analysis.function.Logistic
  Upper asymptote.
K - Static variable in class org.apache.commons.math3.complex.Quaternion
  k
k(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  The within-bin kernel of the bin that x belongs to.
K - Static variable in class org.apache.commons.math3.random.Well1024a
  Number of bits in the pool.
K - Static variable in class org.apache.commons.math3.random.Well19937a
  Number of bits in the pool.
K - Static variable in class org.apache.commons.math3.random.Well19937c
  Number of bits in the pool.
K - Static variable in class org.apache.commons.math3.random.Well44497a
  Number of bits in the pool.
K - Static variable in class org.apache.commons.math3.random.Well44497b
  Number of bits in the pool.
K - Static variable in class org.apache.commons.math3.random.Well512a
  Number of bits in the pool.
k - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Dimension of the data.
K14_01 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 14, element 1.
K14_06 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 14, element 6.
K14_07 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 14, element 7.
K14_08 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 14, element 8.
K14_09 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 14, element 9.
K14_10 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 14, element 10.
K14_11 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 14, element 11.
K14_12 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 14, element 12.
K14_13 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 14, element 13.
K15_01 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 15, element 1.
K15_06 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 15, element 6.
K15_07 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 15, element 7.
K15_08 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 15, element 8.
K15_09 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 15, element 9.
K15_10 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 15, element 10.
K15_11 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 15, element 11.
K15_12 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 15, element 12.
K15_13 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 15, element 13.
K15_14 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 15, element 14.
K16_01 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 16, element 1.
K16_06 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 16, element 6.
K16_07 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 16, element 7.
K16_08 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 16, element 8.
K16_09 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 16, element 9.
K16_10 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 16, element 10.
K16_11 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 16, element 11.
K16_12 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 16, element 12.
K16_13 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 16, element 13.
K16_14 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 16, element 14.
K16_15 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Internal weights for stage 16, element 15.
KalmanFilter - Class in org.apache.commons.math3.filter
  Implementation of a Kalman filter to estimate the state xk of a discrete-time controlled process that is governed by the linear stochastic difference equation:
KalmanFilter(ProcessModel, MeasurementModel) - Constructor for class org.apache.commons.math3.filter.KalmanFilter
  Creates a new Kalman filter with the given process and measurement models.
kB(int) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Mass of bin i under the within-bin kernel of the bin.
key() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
  Get the key of current entry.
key() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
  Get the key of current entry.
key - Variable in class org.apache.commons.math3.util.Pair
  Key.
keys - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Keys table.
keys - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Keys table.
khi - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Expansion coefficient.
khi - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Expansion coefficient.
khi - Variable in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Expansion coefficient.
khi - Variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Expansion coefficient.
KMeansPlusPlusClusterer<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering
  Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.
KMeansPlusPlusClusterer(Random) - Constructor for class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Build a clusterer.
KMeansPlusPlusClusterer(Random, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Build a clusterer.
KMeansPlusPlusClusterer.EmptyClusterStrategy - Enum in org.apache.commons.math3.stat.clustering
  Strategies to use for replacing an empty cluster.
KMeansPlusPlusClusterer.EmptyClusterStrategy() - Constructor for enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
knots - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Spline segment interval delimiters (knots).
KolmogorovSmirnovDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the Kolmogorov-Smirnov distribution.
KolmogorovSmirnovDistribution(int) - Constructor for class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
Kurtosis - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes the Kurtosis of the available values.
Kurtosis() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Construct a Kurtosis
Kurtosis(FourthMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Construct a Kurtosis from an external moment
Kurtosis(Kurtosis) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Copy constructor, creates a new `Kurtosis` identical to the `original`
kurtosisImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Kurtosis statistic implementation - can be reset by setter.

## L

lagrangeValuesAtNewPoint - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Values of the Lagrange functions at a new point.
lagrangeValuesAtNewPoint - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Values of the Lagrange functions at a new point.
laguerre(double, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Deprecated.
  This method should not be part of the public API: It will be made private in version 4.0.
LAGUERRE_COEFFICIENTS - Static variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Coefficients for Laguerre polynomials.
LaguerreSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements the Laguerre's Method for root finding of real coefficient polynomials.
LaguerreSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Construct a solver with default accuracy (1e-6).
LaguerreSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Construct a solver.
LaguerreSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Construct a solver.
LaguerreSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Construct a solver.
LaguerreSolver.ComplexSolver - Class in org.apache.commons.math3.analysis.solvers
  Class for searching all (complex) roots.
LaguerreSolver.ComplexSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver.ComplexSolver
lambda - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Population size, offspring number.
lambda - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.PopulationSize
  Population size.
lambda - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Population size, offspring number.
lambda - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize
  Deprecated.
  Population size.
LANCZOS - Static variable in class org.apache.commons.math3.special.Gamma
  Lanczos coefficients
lanczos(double) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the Lanczos approximation used to compute the gamma function.
LANCZOS_G - Static variable in class org.apache.commons.math3.special.Gamma
  The value of the `g` constant in the Lanczos approximation, see `Gamma.lanczos(double)`.
last - Variable in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
  Whether the last point should be passed to the underlying fixed step size step handler.
last - Variable in class org.apache.commons.math3.util.MultidimensionalCounter
  Index of last dimension.
lastDerivatives - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
  Last derivatives vector.
lastIncluded() - Method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
  Returns a value indicating whether the last point should be passed to the underlying fixed step size step handler.
lastState - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
  Last state vector.
lastTime - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
  Last step time.
lcm(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Returns the least common multiple of the absolute value of two numbers, using the formula `lcm(a,b) = (a / gcd(a,b)) * b`.
lcm(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Returns the least common multiple of the absolute value of two numbers, using the formula `lcm(a,b) = (a / gcd(a,b)) * b`.
LeastSquaresConverter - Class in org.apache.commons.math3.optim.nonlinear.scalar
  This class converts `vectorial objective functions` to `scalar objective functions` when the goal is to minimize them.
LeastSquaresConverter(MultivariateVectorFunction, double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
  Builds a simple converter for uncorrelated residuals with identical weights.
LeastSquaresConverter(MultivariateVectorFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
  Builds a simple converter for uncorrelated residuals with the specified weights.
LeastSquaresConverter(MultivariateVectorFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
  Builds a simple converter for correlated residuals with the specified weights.
LeastSquaresConverter - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
LeastSquaresConverter(MultivariateVectorFunction, double[]) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter
  Deprecated.
  Build a simple converter for uncorrelated residuals with the same weight.
LeastSquaresConverter(MultivariateVectorFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter
  Deprecated.
  Build a simple converter for uncorrelated residuals with the specific weights.
LeastSquaresConverter(MultivariateVectorFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter
  Deprecated.
  Build a simple converter for correlated residuals with the specific weights.
left - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Left sub-tree.
legendre - Variable in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
  Generator of Gauss-Legendre integrators.
legendre(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
  Creates an integrator of the given order, and whose call to the `integrate` method will perform an integration on the natural interval `[-1 , 1]`.
legendre(int, double, double) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
  Creates an integrator of the given order, and whose call to the `integrate` method will perform an integration on the given interval.
LEGENDRE_COEFFICIENTS - Static variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Coefficients for Legendre polynomials.
LegendreGaussIntegrator - Class in org.apache.commons.math3.analysis.integration
  Deprecated.
  As of 3.1 (to be removed in 4.0). Please use `IterativeLegendreGaussIntegrator` instead.
LegendreGaussIntegrator(int, double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Build a Legendre-Gauss integrator with given accuracies and iterations counts.
LegendreGaussIntegrator(int, double, double) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Build a Legendre-Gauss integrator with given accuracies.
LegendreGaussIntegrator(int, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Build a Legendre-Gauss integrator with given iteration counts.
legendreHighPrecision - Variable in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
  Generator of Gauss-Legendre integrators.
legendreHighPrecision(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
  Creates an integrator of the given order, and whose call to the `integrate` method will perform an integration on the natural interval `[-1 , 1]`.
legendreHighPrecision(int, double, double) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
  Creates an integrator of the given order, and whose call to the `integrate` method will perform an integration on the given interval.
LegendreHighPrecisionRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss
  Factory that creates Gauss-type quadrature rule using Legendre polynomials.
LegendreHighPrecisionRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
  Default precision is `DECIMAL128`.
LegendreHighPrecisionRuleFactory(MathContext) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
LegendreRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss
  Factory that creates Gauss-type quadrature rule using Legendre polynomials.
LegendreRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreRuleFactory
LESS_THAN_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
  Name for traps triggered by lessThan.
lessThan(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is less than x.
LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
  This class solves a least-squares problem using the Levenberg-Marquardt algorithm.
LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Build an optimizer for least squares problems with default values for all the tuning parameters (see the `other contructor`.
LevenbergMarquardtOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Constructor that allows the specification of a custom convergence checker.
LevenbergMarquardtOptimizer(double, ConvergenceChecker<PointVectorValuePair>, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Constructor that allows the specification of a custom convergence checker, in addition to the standard ones.
LevenbergMarquardtOptimizer(double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Build an optimizer for least squares problems with default values for some of the tuning parameters (see the `other contructor`.
LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  The arguments control the behaviour of the default convergence checking procedure.
LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Build an optimizer for least squares problems with default values for all the tuning parameters (see the `other contructor`.
LevenbergMarquardtOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Constructor that allows the specification of a custom convergence checker.
LevenbergMarquardtOptimizer(double, ConvergenceChecker<PointVectorValuePair>, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Constructor that allows the specification of a custom convergence checker, in addition to the standard ones.
LevenbergMarquardtOptimizer(double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Build an optimizer for least squares problems with default values for some of the tuning parameters (see the `other contructor`.
LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  The arguments control the behaviour of the default convergence checking procedure.
lindep - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  flags for variables with linear dependency problems
Line - Class in org.apache.commons.math3.geometry.euclidean.threed
  The class represent lines in a three dimensional space.
Line(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line
  Build a line from two points.
Line(Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line
  Copy constructor.
line - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Segment
  Line containing the segment.
line - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
  Underlying line.
Line - Class in org.apache.commons.math3.geometry.euclidean.twod
  This class represents an oriented line in the 2D plane.
Line(Vector2D, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
  Build a line from two points.
Line(Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
  Build a line from a point and an angle.
Line(double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
  Build a line from its internal characteristics.
Line(Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
  Copy constructor.
line - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
  Line supporting the edge.
line - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Segment
  Line containing the segment.
line - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
  Line search.
line - Variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer
  Deprecated.
  Line search.
Line.LineTransform - Class in org.apache.commons.math3.geometry.euclidean.twod
  Class embedding an affine transform.
Line.LineTransform(AffineTransform) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
  Build an affine line transform from a n `AffineTransform`.
linearCombination(double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute linear combination.
linearCombination(double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute linear combination.
linearCombination(double, double[], int, double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute linear combination.
linearCombination(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Compute a linear combination accurately.
linearCombination(double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays
  Compute a linear combination accurately.
linearCombination(double, double, double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays
  Compute a linear combination accurately.
linearCombination(double, double, double, double, double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays
  Compute a linear combination accurately.
LinearConstraint - Class in org.apache.commons.math3.optim.linear
  A linear constraint for a linear optimization problem.
LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
  Build a constraint involving a single linear equation.
LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
  Build a constraint involving a single linear equation.
LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
  Build a constraint involving two linear equations.
LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
  Build a constraint involving two linear equations.
LinearConstraint - Class in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Build a constraint involving a single linear equation.
LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Build a constraint involving a single linear equation.
LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Build a constraint involving two linear equations.
LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Build a constraint involving two linear equations.
linearConstraints - Variable in class org.apache.commons.math3.optim.linear.LinearConstraintSet
  Set of constraints.
linearConstraints - Variable in class org.apache.commons.math3.optim.linear.LinearOptimizer
  Linear constraints.
linearConstraints - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Linear constraints.
LinearConstraintSet - Class in org.apache.commons.math3.optim.linear
  Class that represents a set of `linear constraints`.
LinearConstraintSet(LinearConstraint...) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraintSet
  Creates a set containing the given constraints.
LinearConstraintSet(Collection<LinearConstraint>) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraintSet
  Creates a set containing the given constraints.
LinearInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Implements a linear function for interpolation of real univariate functions.
LinearInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.LinearInterpolator
LinearObjectiveFunction - Class in org.apache.commons.math3.optim.linear
  An objective function for a linear optimization problem.
LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
LinearObjectiveFunction - Class in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
LinearOptimizer - Class in org.apache.commons.math3.optim.linear
  Base class for implementing linear optimizers.
LinearOptimizer() - Constructor for class org.apache.commons.math3.optim.linear.LinearOptimizer
  Simple constructor with default settings.
LinearOptimizer - Interface in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
lines - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
  Lines bound with this vertex.
listeners - Variable in class org.apache.commons.math3.util.IterationManager
  The collection of all listeners attached to this iterative algorithm.
ListPopulation - Class in org.apache.commons.math3.genetics
  Population of chromosomes represented by a `List`.
ListPopulation(int) - Constructor for class org.apache.commons.math3.genetics.ListPopulation
  Creates a new ListPopulation instance and initializes its inner chromosome list.
ListPopulation(List<Chromosome>, int) - Constructor for class org.apache.commons.math3.genetics.ListPopulation
  Creates a new ListPopulation instance.
lmDir - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Parameters evolution direction associated with lmPar.
lmDir - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Parameters evolution direction associated with lmPar.
lmPar - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Levenberg-Marquardt parameter.
lmPar - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Levenberg-Marquardt parameter.
ln10 - Variable in class org.apache.commons.math3.dfp.DfpField
  A `Dfp` with value ln(10).
ln10String - Static variable in class org.apache.commons.math3.dfp.DfpField
  High precision string representation of ln(10).
ln2 - Variable in class org.apache.commons.math3.dfp.DfpField
  A `Dfp` with value ln(2).
ln2Split - Variable in class org.apache.commons.math3.dfp.DfpField
  A two elements `Dfp` array with value ln(2) split in two pieces.
ln2String - Static variable in class org.apache.commons.math3.dfp.DfpField
  High precision string representation of ln(2).
ln5 - Variable in class org.apache.commons.math3.dfp.DfpField
  A `Dfp` with value ln(5).
ln5Split - Variable in class org.apache.commons.math3.dfp.DfpField
  A two elements `Dfp` array with value ln(5) split in two pieces.
ln5String - Static variable in class org.apache.commons.math3.dfp.DfpField
  High precision string representation of ln(5).
LN_2_A - Static variable in class org.apache.commons.math3.util.FastMath
  log(2) (high bits).
LN_2_B - Static variable in class org.apache.commons.math3.util.FastMath
  log(2) (low bits).
LN_HI_PREC_COEF - Static variable in class org.apache.commons.math3.util.FastMath
  Coefficients for log in the range of 1.0 < x < 1.0 + 2^-10.
LN_MANT - Static variable in class org.apache.commons.math3.util.FastMath.lnMant
  Extended precision logarithm table over the range 1 - 2 in increments of 2^-10.
LN_MANT - Static variable in class org.apache.commons.math3.util.FastMathLiteralArrays
  Extended precision logarithm table over the range 1 - 2 in increments of 2^-10.
LN_MANT_LEN - Static variable in class org.apache.commons.math3.util.FastMath
  Logarithm table length.
LN_QUICK_COEF - Static variable in class org.apache.commons.math3.util.FastMath
  Coefficients for log, when input 0.99 < x < 1.01.
LN_SPLIT_COEF - Static variable in class org.apache.commons.math3.util.FastMathCalc
  Coefficients for slowLog.
lo - Variable in class org.apache.commons.math3.analysis.function.Logit
  Lower bound.
lo - Variable in class org.apache.commons.math3.analysis.function.Sigmoid
  Lower asymptote.
lo - Variable in exception org.apache.commons.math3.exception.NoBracketingException
  Lower end of the interval.
lo - Variable in exception org.apache.commons.math3.exception.OutOfRangeException
  Lower bound.
lo - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
  Lower bound of the bracket.
lo - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Lower bound of the bracket.
load(double[]) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Computes the empirical distribution from the provided array of numbers.
load(URL) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Computes the empirical distribution using data read from a URL.
load(File) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Computes the empirical distribution from the input file.
LOAD_FACTOR - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Load factor for the map.
LOAD_FACTOR - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Load factor for the map.
loaded - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
  is the distribution loaded?
loadExpFracA() - Static method in class org.apache.commons.math3.util.FastMathLiteralArrays
  Load "EXP_FRAC_A".
loadExpFracB() - Static method in class org.apache.commons.math3.util.FastMathLiteralArrays
  Load "EXP_FRAC_B".
loadExpIntA() - Static method in class org.apache.commons.math3.util.FastMathLiteralArrays
  Load "EXP_INT_A".
loadExpIntB() - Static method in class org.apache.commons.math3.util.FastMathLiteralArrays
  Load "EXP_INT_B".
loadLnMant() - Static method in class org.apache.commons.math3.util.FastMathLiteralArrays
  Load "LN_MANT".
Localizable - Interface in org.apache.commons.math3.exception.util
  Interface for localizable strings.
LocalizedFormats - Enum in org.apache.commons.math3.exception.util
  Enumeration for localized messages formats used in exceptions messages.
LocalizedFormats(String) - Constructor for enum org.apache.commons.math3.exception.util.LocalizedFormats
  Simple constructor.
locatePoint(double, StepInterpolator) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Compare a step interval and a double.
location - Variable in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Vector location.
location - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
  Vertex location.
LoessInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Implements the Local Regression Algorithm (also Loess, Lowess) for interpolation of real univariate functions.
LoessInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Constructs a new `LoessInterpolator` with a bandwidth of `LoessInterpolator.DEFAULT_BANDWIDTH`, `LoessInterpolator.DEFAULT_ROBUSTNESS_ITERS` robustness iterations and an accuracy of {#link #DEFAULT_ACCURACY}.
LoessInterpolator(double, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Construct a new `LoessInterpolator` with given bandwidth and number of robustness iterations.
LoessInterpolator(double, int, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Construct a new `LoessInterpolator` with given bandwidth, number of robustness iterations and accuracy.
log() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Natural logarithm.
log(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute natural logarithm of a derivative structure.
Log - Class in org.apache.commons.math3.analysis.function
  Natural logarithm function.
Log() - Constructor for class org.apache.commons.math3.analysis.function.Log
log() - Method in class org.apache.commons.math3.complex.Complex
  Compute the natural logarithm of this complex number.
log(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Returns the natural logarithm of a.
log(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
log(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
log(double) - Static method in class org.apache.commons.math3.util.FastMath
  Natural logarithm.
log(double, double[]) - Static method in class org.apache.commons.math3.util.FastMath
  Internal helper method for natural logarithm function.
log(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Computes the logarithm in a given base.
log10() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Base 10 logarithm.
log10(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Computes base 10 logarithm of a derivative structure.
Log10 - Class in org.apache.commons.math3.analysis.function
  Base 10 logarithm function.
Log10() - Constructor for class org.apache.commons.math3.analysis.function.Log10
log10() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the exponent of the greatest power of 10 that is less than or equal to abs(this).
log10(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the base 10 logarithm.
log10K() - Method in class org.apache.commons.math3.dfp.Dfp
  Get the exponent of the greatest power of 10000 that is less than or equal to the absolute value of this.
log1p() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Shifted natural logarithm.
log1p(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Computes shifted logarithm of a derivative structure.
Log1p - Class in org.apache.commons.math3.analysis.function
  `log(1 + p)` function.
Log1p() - Constructor for class org.apache.commons.math3.analysis.function.Log1p
log1p(double) - Static method in class org.apache.commons.math3.util.FastMath
  Computes log(1 + x).
LOG_MAX_VALUE - Static variable in class org.apache.commons.math3.util.FastMath
  StrictMath.log(Double.MAX_VALUE):
logBeta(double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
  Deprecated.
  as of version 3.1, this method is deprecated as the computation of the beta function is no longer iterative; it will be removed in version 4.0. Current implementation of this method internally calls `Beta.logBeta(double, double)`.
logBeta(double, double) - Static method in class org.apache.commons.math3.special.Beta
  Returns the value of log B(p, q) for 0 ≤ x ≤ 1 and p, q > 0.
logBinomialProbability(int, int, double, double) - Static method in class org.apache.commons.math3.distribution.SaddlePointExpansion
  Compute the logarithm of the PMF for a binomial distribution using the saddle point expansion.
logGamma(double) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the value of log Γ(x) for x > 0.
logGamma1p(double) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the value of log Γ(1 + x) for -0.5 ≤ x ≤ 1.5.
logGammaMinusLogGammaSum(double, double) - Static method in class org.apache.commons.math3.special.Beta
  Returns the value of log[Γ(b) / Γ(a + b)] for a ≥ 0 and b ≥ 10.
logGammaSum(double, double) - Static method in class org.apache.commons.math3.special.Beta
  Returns the value of log Γ(a + b) for 1 ≤ a, b ≤ 2.
logInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Computes the natural log of a number between 0 and 2.
Logistic - Class in org.apache.commons.math3.analysis.function
  Generalised logistic function.
Logistic(double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.Logistic
Logistic.Parametric - Class in org.apache.commons.math3.analysis.function
  Parametric function where the input array contains the parameters of the logit function, ordered as follows: Lower asymptote Higher asymptote
Logistic.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Logistic.Parametric
Logit - Class in org.apache.commons.math3.analysis.function
  Logit function.
Logit() - Constructor for class org.apache.commons.math3.analysis.function.Logit
  Usual logit function, where the lower bound is 0 and the higher bound is 1.
Logit(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Logit
  Logit function.
Logit.Parametric - Class in org.apache.commons.math3.analysis.function
  Parametric function where the input array contains the parameters of the logit function, ordered as follows: Lower bound Higher bound
Logit.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Logit.Parametric
logMu2 - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  log(mu + 0.5), stored for efficiency.
logMu2 - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  log(mu + 0.5), stored for efficiency.
LogNormalDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the log-normal (gaussian) distribution.
LogNormalDistribution() - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
  Create a log-normal distribution, where the mean and standard deviation of the `normally distributed` natural logarithm of the log-normal distribution are equal to zero and one respectively.
LogNormalDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
  Create a log-normal distribution using the specified scale and shape.
LogNormalDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
  Create a log-normal distribution using the specified scale, shape and inverse cumulative distribution accuracy.
LogNormalDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
  Creates a log-normal distribution.
longValue() - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction as a `long`.
longValue() - Method in class org.apache.commons.math3.fraction.Fraction
  Gets the fraction as a `long`.
longValue() - Method in class org.apache.commons.math3.util.Decimal64
  The current implementation performs casting to a `long`.
loop - Variable in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
  Boundary loop.
lower - Variable in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Lower bound (inclusive) of this distribution.
lower - Variable in class org.apache.commons.math3.distribution.UniformRealDistribution
  Lower bound of this distribution (inclusive).
lower - Variable in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  The lower bound of the interval.
lower - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerBoundMapper
  Low bound.
lower - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
  Lower bounds.
lower - Variable in class org.apache.commons.math3.optim.SimpleBounds
  Lower bounds.
lower - Variable in class org.apache.commons.math3.optim.univariate.SearchInterval
  Lower bound.
lower - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerBoundMapper
  Deprecated.
  Low bound.
lower - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
  Deprecated.
  Lower bounds.
lower - Variable in class org.apache.commons.math3.optimization.SimpleBounds
  Deprecated.
  Lower bounds.
lowerBound - Variable in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
  Lower bounds.
lowerBound - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Lower bounds.
lowerDifference - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Differences `BaseMultivariateOptimizer.getLowerBound()` - `BOBYQAOptimizer.originShift`.
lowerDifference - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Differences `BaseAbstractMultivariateSimpleBoundsOptimizer.getLowerBound()` - `BOBYQAOptimizer.originShift`.
lowerIndirection - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Indirection array of the lower derivative elements.
lqnorm - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The estimate of the norm of P * rL[k-1].
lsb - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Least Significant Bit scale.
lTData - Variable in class org.apache.commons.math3.linear.CholeskyDecomposition
  Row-oriented storage for LT matrix data.
lTData - Variable in class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
  Row-oriented storage for LT matrix data.
lu - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
  Entries of LU decomposition.
lu - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
  Entries of LU decomposition.
lu - Variable in class org.apache.commons.math3.linear.LUDecomposition
  Entries of LU decomposition.
lu - Variable in class org.apache.commons.math3.linear.LUDecomposition.Solver
  Entries of LU decomposition.
LUDecomposition - Class in org.apache.commons.math3.linear
  Calculates the LUP-decomposition of a square matrix.
LUDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.LUDecomposition
  Calculates the LU-decomposition of the given matrix.
LUDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.LUDecomposition
  Calculates the LU-decomposition of the given matrix.
LUDecomposition.Solver - Class in org.apache.commons.math3.linear
  Specialized solver.
LUDecomposition.Solver(double[][], int[], boolean) - Constructor for class org.apache.commons.math3.linear.LUDecomposition.Solver
  Build a solver from decomposed matrix.

## M

m - Variable in class org.apache.commons.math3.analysis.function.Logistic
  Abscissa of maximum growth.
m - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
  max(row dimension, column dimension).
m - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  Reference to the preconditioner, M.
M - Static variable in class org.apache.commons.math3.random.MersenneTwister
  Period second parameter.
M1 - Static variable in class org.apache.commons.math3.random.Well1024a
  First parameter of the algorithm.
M1 - Static variable in class org.apache.commons.math3.random.Well19937a
  First parameter of the algorithm.
M1 - Static variable in class org.apache.commons.math3.random.Well19937c
  First parameter of the algorithm.
M1 - Static variable in class org.apache.commons.math3.random.Well44497a
  First parameter of the algorithm.
M1 - Static variable in class org.apache.commons.math3.random.Well44497b
  First parameter of the algorithm.
M1 - Static variable in class org.apache.commons.math3.random.Well512a
  First parameter of the algorithm.
m1 - Variable in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
  First moment of values that have been added
M2 - Static variable in class org.apache.commons.math3.random.Well1024a
  Second parameter of the algorithm.
M2 - Static variable in class org.apache.commons.math3.random.Well19937a
  Second parameter of the algorithm.
M2 - Static variable in class org.apache.commons.math3.random.Well19937c
  Second parameter of the algorithm.
M2 - Static variable in class org.apache.commons.math3.random.Well44497a
  Second parameter of the algorithm.
M2 - Static variable in class org.apache.commons.math3.random.Well44497b
  Second parameter of the algorithm.
M2 - Static variable in class org.apache.commons.math3.random.Well512a
  Second parameter of the algorithm.
m2 - Variable in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  second moment of values that have been added
M3 - Static variable in class org.apache.commons.math3.random.Well1024a
  Third parameter of the algorithm.
M3 - Static variable in class org.apache.commons.math3.random.Well19937a
  Third parameter of the algorithm.
M3 - Static variable in class org.apache.commons.math3.random.Well19937c
  Third parameter of the algorithm.
M3 - Static variable in class org.apache.commons.math3.random.Well44497a
  Third parameter of the algorithm.
M3 - Static variable in class org.apache.commons.math3.random.Well44497b
  Third parameter of the algorithm.
M3 - Static variable in class org.apache.commons.math3.random.Well512a
  Third parameter of the algorithm.
m3 - Variable in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
  third moment of values that have been added
m4 - Variable in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
  fourth moment of values that have been added
MACH_PREC - Static variable in class org.apache.commons.math3.linear.SymmLQ.State
  The machine precision.
MAG01 - Static variable in class org.apache.commons.math3.random.MersenneTwister
  X * MATRIX_A for X = {0, 1}.
main - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
  Main diagonal.
main - Variable in class org.apache.commons.math3.linear.EigenDecomposition
  Main diagonal of the tridiagonal matrix.
main - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
  Main diagonal.
main(String[]) - Static method in class org.apache.commons.math3.util.FastMath
  Print out contents of arrays, and check the length.
mainSetDimension - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Main set dimension.
MainStateJacobianProvider - Interface in org.apache.commons.math3.ode
  Interface expanding `first order differential equations` in order to compute exactly the main state jacobian matrix for `partial derivatives equations`.
manager - Variable in class org.apache.commons.math3.linear.IterativeLinearSolver
  The object in charge of managing the iterations.
mannWhitneyU(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
  Computes the Mann-Whitney U statistic comparing mean for two independent samples possibly of different length.
MannWhitneyUTest - Class in org.apache.commons.math3.stat.inference
  An implementation of the Mann-Whitney U test (also called Wilcoxon rank-sum test).
MannWhitneyUTest() - Constructor for class org.apache.commons.math3.stat.inference.MannWhitneyUTest
  Create a test instance using where NaN's are left in place and ties get the average of applicable ranks.
MannWhitneyUTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.inference.MannWhitneyUTest
  Create a test instance using the given strategies for NaN's and ties.
mannWhitneyUTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
  Returns the asymptotic observed significance level, or p-value, associated with a Mann-Whitney U statistic comparing mean for two independent samples.
mant - Variable in class org.apache.commons.math3.dfp.Dfp
  Mantissa.
mantissa(long) - Static method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Extract the mantissa from the bits of a double.
MANTISSA_MASK - Static variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Mantissa bits mask.
map(UnivariateFunction) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Acts as if implemented as:
map(UnivariateFunction) - Method in class org.apache.commons.math3.linear.RealVector
  Acts as if implemented as:
map - Variable in class org.apache.commons.math3.util.TransformerMap
  The internal Map.
mapAdd(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map an addition operation to each entry.
mapAdd(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map an addition operation to each entry.
mapAdd(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Add a value to each entry.
mapAdd(double) - Method in class org.apache.commons.math3.linear.RealVector
  Add a value to each entry.
mapAdd(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Map an addition operation to each entry.
mapAddToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map an addition operation to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Add a value to each entry.
mapAddToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map an addition operation to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Add a value to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
  Add a value to each entry.
mapAddToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Map an addition operation to each entry.
mapDivide(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map a division operation to each entry.
mapDivide(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map a division operation to each entry.
mapDivide(double) - Method in class org.apache.commons.math3.linear.RealVector
  Divide each entry by the argument.
mapDivide(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Map a division operation to each entry.
mapDivideToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map a division operation to each entry.
mapDivideToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Divide each entry by the argument.
mapDivideToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map a division operation to each entry.
mapDivideToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
  Divide each entry by the argument.
mapDivideToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Map a division operation to each entry.
mapInv() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map the 1/x function to each entry.
mapInv() - Method in interface org.apache.commons.math3.linear.FieldVector
  Map the 1/x function to each entry.
mapInv() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Map the 1/x function to each entry.
mapInvToSelf() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map the 1/x function to each entry.
mapInvToSelf() - Method in interface org.apache.commons.math3.linear.FieldVector
  Map the 1/x function to each entry.
mapInvToSelf() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Map the 1/x function to each entry.
mapMultiply(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map a multiplication operation to each entry.
mapMultiply(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map a multiplication operation to each entry.
mapMultiply(double) - Method in class org.apache.commons.math3.linear.RealVector
  Multiply each entry by the argument.
mapMultiply(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Map a multiplication operation to each entry.
mapMultiplyToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map a multiplication operation to each entry.
mapMultiplyToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Multiply each entry.
mapMultiplyToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map a multiplication operation to each entry.
mapMultiplyToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
  Multiply each entry.
mapMultiplyToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Map a multiplication operation to each entry.
mapper - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE.SecondaryComponent
  Mapper between local and complete arrays.
mappers - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
  Mapping functions.
mappers - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
  Deprecated.
  Mapping functions.
mapSubtract(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map a subtraction operation to each entry.
mapSubtract(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map a subtraction operation to each entry.
mapSubtract(double) - Method in class org.apache.commons.math3.linear.RealVector
  Subtract a value from each entry.
mapSubtract(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Map a subtraction operation to each entry.
mapSubtractToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Map a subtraction operation to each entry.
mapSubtractToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Subtract a value from each entry.
mapSubtractToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Map a subtraction operation to each entry.
mapSubtractToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
  Subtract a value from each entry.
mapSubtractToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Map a subtraction operation to each entry.
mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Acts as if it is implemented as:
mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math3.linear.RealVector
  Acts as if it is implemented as:
MASK - Static variable in class org.apache.commons.math3.random.ISAACRandom
  For pseudo-random lookup
mask - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Bit mask for hash values.
mask - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Bit mask for hash values.
MASK_30BITS - Static variable in class org.apache.commons.math3.util.FastMath
  Mask used to clear low order 30 bits
mat2quat(double[][]) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Convert an orthogonal rotation matrix to a quaternion.
mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.CycleCrossover
  Helper for `CycleCrossover.crossover(Chromosome, Chromosome)`.
mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.NPointCrossover
  Helper for `NPointCrossover.crossover(Chromosome, Chromosome)`.
mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.OrderedCrossover
  Helper for `OrderedCrossover.crossover(Chromosome, Chromosome)`.
mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.UniformCrossover
  Helper for `UniformCrossover.crossover(Chromosome, Chromosome)`.
MathArithmeticException - Exception in org.apache.commons.math3.exception
  Base class for arithmetic exceptions.
MathArithmeticException() - Constructor for exception org.apache.commons.math3.exception.MathArithmeticException
  Default constructor.
MathArithmeticException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathArithmeticException
  Constructor with a specific message.
MathArrays - Class in org.apache.commons.math3.util
  Arrays utilities.
MathArrays() - Constructor for class org.apache.commons.math3.util.MathArrays
  Private constructor.
MathArrays.Function - Interface in org.apache.commons.math3.util
  Real-valued function that operate on an array or a part of it.
MathArrays.OrderDirection - Enum in org.apache.commons.math3.util
  Specification of ordering direction.
MathArrays.OrderDirection() - Constructor for enum org.apache.commons.math3.util.MathArrays.OrderDirection
MathIllegalArgumentException - Exception in org.apache.commons.math3.exception
  Base class for all preconditions violation exceptions.
MathIllegalArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalArgumentException
MathIllegalNumberException - Exception in org.apache.commons.math3.exception
  Base class for exceptions raised by a wrong number.
MathIllegalNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalNumberException
  Construct an exception.
MathIllegalStateException - Exception in org.apache.commons.math3.exception
  Base class for all exceptions that signal a mismatch between the current state and the user's expectations.
MathIllegalStateException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException
  Simple constructor.
MathIllegalStateException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException
  Simple constructor.
MathIllegalStateException() - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException
  Default constructor.
MathInternalError - Exception in org.apache.commons.math3.exception
  Exception triggered when something that shouldn't happen does happen.
MathInternalError() - Constructor for exception org.apache.commons.math3.exception.MathInternalError
  Simple constructor.
MathInternalError(Throwable) - Constructor for exception org.apache.commons.math3.exception.MathInternalError
  Simple constructor.
MathInternalError(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathInternalError
  Constructor accepting a localized message.
MathParseException - Exception in org.apache.commons.math3.exception
  Class to signal parse failures.
MathParseException(String, int, Class<?>) - Constructor for exception org.apache.commons.math3.exception.MathParseException
MathParseException(String, int) - Constructor for exception org.apache.commons.math3.exception.MathParseException
MathRuntimeException - Exception in org.apache.commons.math3.exception
  As of release 4.0, all exceptions thrown by the Commons Math code (except `NullArgumentException`) inherit from this class.
MathRuntimeException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathRuntimeException
MathUnsupportedOperationException - Exception in org.apache.commons.math3.exception
  Base class for all unsupported features.
MathUnsupportedOperationException() - Constructor for exception org.apache.commons.math3.exception.MathUnsupportedOperationException
  Default constructor.
MathUnsupportedOperationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathUnsupportedOperationException
MathUtils - Class in org.apache.commons.math3.util
  Miscellaneous utility functions.
MathUtils() - Constructor for class org.apache.commons.math3.util.MathUtils
  Class contains only static methods.
matricesData - Variable in class org.apache.commons.math3.ode.JacobianMatrices
  State and parameters Jacobian matrices in a row.
MatrixDimensionMismatchException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when either the number of rows or the number of columns of a matrix do not match the expected values.
MatrixDimensionMismatchException(int, int, int, int) - Constructor for exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
  Construct an exception from the mismatched dimensions.
matrixP - Variable in class org.apache.commons.math3.linear.SchurTransformer
  P matrix.
matrixT - Variable in class org.apache.commons.math3.linear.SchurTransformer
  T matrix.
MatrixUtils - Class in org.apache.commons.math3.linear
  A collection of static methods that operate on or return matrices.
MatrixUtils() - Constructor for class org.apache.commons.math3.linear.MatrixUtils
  Private constructor.
MatrixUtils.BigFractionMatrixConverter - Class in org.apache.commons.math3.linear
  Converter for `FieldMatrix`/`BigFraction`.
MatrixUtils.BigFractionMatrixConverter() - Constructor for class org.apache.commons.math3.linear.MatrixUtils.BigFractionMatrixConverter
  Simple constructor.
MatrixUtils.FractionMatrixConverter - Class in org.apache.commons.math3.linear
  Converter for `FieldMatrix`/`Fraction`.
MatrixUtils.FractionMatrixConverter() - Constructor for class org.apache.commons.math3.linear.MatrixUtils.FractionMatrixConverter
  Simple constructor.
Max - Class in org.apache.commons.math3.analysis.function
  Maximum function.
Max() - Constructor for class org.apache.commons.math3.analysis.function.Max
max - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Upper bound for the interval.
max - Variable in exception org.apache.commons.math3.exception.MaxCountExceededException
  Maximum number of evaluations.
max - Variable in exception org.apache.commons.math3.exception.NumberIsTooLargeException
  Higher bound.
max(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
max(double[]) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
max - Variable in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
  Upper bound.
max(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
max(double[]) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
max - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
  Max loaded value
Max - Class in org.apache.commons.math3.stat.descriptive.rank
  Returns the maximum of the available values.
Max() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Max
  Create a Max instance
Max(Max) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Max
  Copy constructor, creates a new `Max` identical to the `original`
max - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
  The maximum value
max - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  max of values that have been added
MAX - Static variable in class org.apache.commons.math3.stat.StatUtils
  max
max(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the maximum of the entries in the input array, or `Double.NaN` if the array is empty.
max(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the maximum of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
max(int, int) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the maximum of two values
max(long, long) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the maximum of two values
max(float, float) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the maximum of two values
max(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the maximum of two values
MAX_CACHED_LEVELS - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Maximum number of partitioning pivots cached (each level double the number of pivots).
MAX_EXP - Static variable in class org.apache.commons.math3.dfp.Dfp
  The maximum exponent before overflow is signaled and results flushed to infinity
MAX_ITERATIONS - Static variable in class org.apache.commons.math3.linear.SchurTransformer
  Maximum allowed iterations for convergence of the transformation.
maxCheckInterval - Variable in class org.apache.commons.math3.ode.events.EventState
  Maximal time interval between events handler checks.
maxChecks - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  maximal number of checks for each iteration.
maxCountCallback - Variable in class org.apache.commons.math3.util.Incrementor
  Function called at counter exhaustion.
MaxCountExceededException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when some counter maximum value is exceeded.
MaxCountExceededException(Number) - Constructor for exception org.apache.commons.math3.exception.MaxCountExceededException
  Construct the exception.
MaxCountExceededException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.MaxCountExceededException
  Construct the exception with a specific context.
MaxEval - Class in org.apache.commons.math3.optim
  Maximum number of evaluations of the function to be optimized.
MaxEval(int) - Constructor for class org.apache.commons.math3.optim.MaxEval
maxEval - Variable in class org.apache.commons.math3.optim.MaxEval
  Allowed number of evalutations.
maxEvalIndex - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Location in `BaseMultiStartMultivariateOptimizer.optimData` where the updated maximum number of evaluations will be stored.
maxEvalIndex - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Location in `MultiStartUnivariateOptimizer.optimData` where the updated maximum number of evaluations will be stored.
maxEvaluations - Variable in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Maximal number of evaluations allowed.
maxEvaluations - Variable in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Maximal number of evaluations allowed.
maxEvaluations - Variable in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Maximal number of evaluations allowed.
maxGenerations - Variable in class org.apache.commons.math3.genetics.FixedGenerationCount
  Maximum number of generations (stopping criteria)
maxGrowth - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
  Maximal growth factor for stepsize control.
maxGrowth - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Maximal growth factor for stepsize control.
MAXIMAL_AGING - Static variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Maximal aging triggering an attempt to balance the bracketing interval.
MAXIMAL_AGING - Static variable in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Maximal aging triggering an attempt to balance the bracketing interval.
maximalCount - Variable in class org.apache.commons.math3.util.Incrementor
  Upper limit for the counter.
maximalOrder - Variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Maximal order.
maximalOrder - Variable in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Maximal order.
maxImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Maximum statistic implementation - can be reset by setter.
maxImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Maximum statistic implementation - can be reset by setter.
maxImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Maximum statistic implementation - can be reset by setter.
maxIter - Variable in class org.apache.commons.math3.linear.EigenDecomposition
  Maximum number of iterations accepted in the implicit QL transformation
maxIter - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  maximal number of iterations for which checks are performed.
MaxIter - Class in org.apache.commons.math3.optim
  Maximum number of iterations performed by an (iterative) algorithm.
MaxIter(int) - Constructor for class org.apache.commons.math3.optim.MaxIter
maxIter - Variable in class org.apache.commons.math3.optim.MaxIter
  Allowed number of evalutations.
maxIterationCount - Variable in class org.apache.commons.math3.ode.events.EventState
  Upper limit in the iteration count for event localization.
maxIterationCount - Variable in class org.apache.commons.math3.optim.SimplePointChecker
  Number of iterations after which the `SimplePointChecker.converged(int, Pair, Pair)` method will return true (unless the check is disabled).
maxIterationCount - Variable in class org.apache.commons.math3.optim.SimpleValueChecker
  Number of iterations after which the `SimpleValueChecker.converged(int,PointValuePair,PointValuePair)` method will return true (unless the check is disabled).
maxIterationCount - Variable in class org.apache.commons.math3.optim.SimpleVectorValueChecker
  Number of iterations after which the `SimpleVectorValueChecker.converged(int,PointVectorValuePair,PointVectorValuePair)` method will return true (unless the check is disabled).
maxIterationCount - Variable in class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
  Number of iterations after which the `SimpleUnivariateValueChecker.converged(int,UnivariatePointValuePair,UnivariatePointValuePair)` method will return true (unless the check is disabled).
maxIterationCount - Variable in class org.apache.commons.math3.optimization.SimplePointChecker
  Deprecated.
  Number of iterations after which the `SimplePointChecker.converged(int, Pair, Pair)` method will return true (unless the check is disabled).
maxIterationCount - Variable in class org.apache.commons.math3.optimization.SimpleValueChecker
  Deprecated.
  Number of iterations after which the `SimpleValueChecker.converged(int,PointValuePair,PointValuePair)` method will return true (unless the check is disabled).
maxIterationCount - Variable in class org.apache.commons.math3.optimization.SimpleVectorValueChecker
  Deprecated.
  Number of iterations after which the `SimpleVectorValueChecker.converged(int,PointVectorValuePair,PointVectorValuePair)` method will return true (unless the check is disabled).
maxIterationCount - Variable in class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
  Deprecated.
  Number of iterations after which the `SimpleUnivariateValueChecker.converged(int,UnivariatePointValuePair,UnivariatePointValuePair)` method will return true (unless the check is disabled).
maxIterations - Variable in class org.apache.commons.math3.distribution.PoissonDistribution
  Maximum number of iterations for cumulative probability.
maxIterations - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Maximal number of iterations allowed.
maxIterations - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Maximal number of iterations allowed.
maxIterations - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Maximal number of iterations allowed.
maxLogY - Variable in class org.apache.commons.math3.distribution.GammaDistribution
  Upper bound on `log(y)` (`y = x / scale`) for the selection of the computation method in `GammaDistribution.density(double)`.
maxOrder - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  maximal order.
maxStep - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Maximal step.
maxTimePeriod - Variable in class org.apache.commons.math3.genetics.FixedElapsedTime
  Maximum allowed time period (in nanoseconds).
maxUlps - Variable in class org.apache.commons.math3.optim.linear.SimplexSolver
  Amount of error to accept in floating point comparisons (as ulps).
maxUlps - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
  Amount of error to accept in floating point comparisons.
maxUlps - Variable in class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Amount of error to accept in floating point comparisons (as ulps).
maxUlps - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Amount of error to accept in floating point comparisons.
mb - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of M * b.
mContext - Variable in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
  Settings for enhanced precision computations.
mdfft(Object, TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
  Deprecated.
  see MATH-736
mdfft(FastFourierTransformer.MultiDimensionalComplexMatrix, TransformType, int, int[]) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
  Deprecated.
  see MATH-736
mean - Variable in class org.apache.commons.math3.analysis.function.Gaussian
  Mean.
mean - Variable in class org.apache.commons.math3.distribution.ExponentialDistribution
  The mean of this distribution.
mean - Variable in class org.apache.commons.math3.distribution.NormalDistribution
  Mean of this distribution.
mean - Variable in class org.apache.commons.math3.distribution.PoissonDistribution
  Mean of the distribution.
mean - Variable in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
  Mean.
mean - Variable in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
  Deprecated.
  Mean.
mean - Variable in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Mean vector.
mean - Variable in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
  Mean vector.
Mean - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes the arithmetic mean of a set of values.
Mean() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
  Constructs a Mean.
Mean(FirstMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
  Constructs a Mean with an External Moment.
Mean(Mean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
  Copy constructor, creates a new `Mean` identical to the `original`
mean - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
  The sample mean
mean - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  mean of values that have been added
MEAN - Static variable in class org.apache.commons.math3.stat.StatUtils
  mean
mean(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the arithmetic mean of the entries in the input array, or `Double.NaN` if the array is empty.
mean(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the arithmetic mean of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
meanDifference(double[], double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the mean of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]) / sample1.length.
meanImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Mean statistic implementation - can be reset by setter.
meanImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Mean statistic implementation - can be reset by setter.
meanImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Mean statistic implementation - can be reset by setter.
means - Variable in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Vector of means.
means - Variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
  Means for each component.
meanX - Variable in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
  the mean of variable x
meanY - Variable in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
  the mean of variable y
measurementMatrix - Variable in class org.apache.commons.math3.filter.DefaultMeasurementModel
  The measurement matrix, used to associate the measurement vector to the internal state estimation vector.
measurementMatrix - Variable in class org.apache.commons.math3.filter.KalmanFilter
  The measurement matrix, equivalent to H.
measurementMatrixT - Variable in class org.apache.commons.math3.filter.KalmanFilter
  The transposed measurement matrix.
measurementModel - Variable in class org.apache.commons.math3.filter.KalmanFilter
  The measurement model used by this filter instance.
MeasurementModel - Interface in org.apache.commons.math3.filter
  Defines the measurement model for the use with a `KalmanFilter`.
measurementNoise - Variable in class org.apache.commons.math3.filter.DefaultMeasurementModel
  The measurement noise covariance matrix.
median - Variable in class org.apache.commons.math3.distribution.CauchyDistribution
  The median of this distribution.
Median - Class in org.apache.commons.math3.stat.descriptive.rank
  Returns the median of the available values.
Median() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Median
  Default constructor.
Median(Median) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Median
  Copy constructor, creates a new `Median` identical to the `original`
medianOf3(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Select a pivot index as the median of three
mem - Variable in class org.apache.commons.math3.random.ISAACRandom
  The internal state
merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTree.LeafMerger
  Merge a leaf node and a tree node.
merge(BSPTree<S>, BSPTree.LeafMerger<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Merge a BSP tree with the instance.
merge(BSPTree<S>, BSPTree.LeafMerger<S>, BSPTree<S>, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Merge a BSP tree with the instance.
merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.DifferenceMerger
  Merge a leaf node and a tree node.
merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.IntersectionMerger
  Merge a leaf node and a tree node.
merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.UnionMerger
  Merge a leaf node and a tree node.
merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.XorMerger
  Merge a leaf node and a tree node.
merge(List<T>, List<T>) - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
  Merges two lists together.
merge(Frequency) - Method in class org.apache.commons.math3.stat.Frequency
  Merge another Frequency object's counts into this instance.
merge(Collection<Frequency>) - Method in class org.apache.commons.math3.stat.Frequency
  Merge a `Collection` of `Frequency` objects into this instance.
MersenneTwister - Class in org.apache.commons.math3.random
  This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during 1996-1997.
MersenneTwister() - Constructor for class org.apache.commons.math3.random.MersenneTwister
  Creates a new random number generator.
MersenneTwister(int) - Constructor for class org.apache.commons.math3.random.MersenneTwister
  Creates a new random number generator using a single int seed.
MersenneTwister(int[]) - Constructor for class org.apache.commons.math3.random.MersenneTwister
  Creates a new random number generator using an int array seed.
MersenneTwister(long) - Constructor for class org.apache.commons.math3.random.MersenneTwister
  Creates a new random number generator using a single long seed.
method - Variable in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  The Secant-based root-finding method to use.
METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
  Integrator method name.
METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
  Integrator method name.
METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Integrator method name.
METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Integrator method name.
METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Integrator method name.
METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
  Integrator method name.
microsphere - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
  Internal accounting data for the interpolation algorithm.
microsphereElements - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
  Number of surface elements of the microsphere.
MicrosphereInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
  Interpolating function that implements the Microsphere Projection.
MicrosphereInterpolatingFunction(double[][], double[], int, int, UnitSphereRandomVectorGenerator) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
MicrosphereInterpolatingFunction.MicrosphereSurfaceElement - Class in org.apache.commons.math3.analysis.interpolation
  Class for storing the accounting data needed to perform the microsphere projection.
MicrosphereInterpolatingFunction.MicrosphereSurfaceElement(double[]) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
MicrosphereInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Interpolator that implements the algorithm described in William Dudziak's MS thesis.
MicrosphereInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
  Create a microsphere interpolator with default settings.
MicrosphereInterpolator(int, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
  Create a microsphere interpolator.
mid - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
  Point inside the bracket.
mid - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Point inside the bracket.
midpoint(double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Compute the midpoint of two values.
MidpointIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.
MidpointIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator
  Simple constructor.
MidpointStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements a step interpolator for second order Runge-Kutta integrator.
MidpointStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointStepInterpolator
  Simple constructor.
MidpointStepInterpolator(MidpointStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointStepInterpolator
  Copy constructor.
MillerUpdatingRegression - Class in org.apache.commons.math3.stat.regression
  This class is a concrete implementation of the `UpdatingMultipleLinearRegression` interface.
MillerUpdatingRegression() - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Set the default constructor to private access to prevent inadvertent instantiation
MillerUpdatingRegression(int, boolean, double) - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  This is the augmented constructor for the MillerUpdatingRegression class.
MillerUpdatingRegression(int, boolean) - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Primary constructor for the MillerUpdatingRegression.
Min - Class in org.apache.commons.math3.analysis.function
  Minimum function.
Min() - Constructor for class org.apache.commons.math3.analysis.function.Min
min - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Lower bound for the interval.
min - Variable in exception org.apache.commons.math3.exception.NumberIsTooSmallException
  Higher bound.
min(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
min(double[]) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
min - Variable in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
  Lower bound.
min(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
min(double[]) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
min - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
  Min loaded value
Min - Class in org.apache.commons.math3.stat.descriptive.rank
  Returns the minimum of the available values.
Min() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Min
  Create a Min instance
Min(Min) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Min
  Copy constructor, creates a new `Min` identical to the `original`
min - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
  The minimum value
min - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  min of values that have been added
MIN - Static variable in class org.apache.commons.math3.stat.StatUtils
  min
min(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the minimum of the entries in the input array, or `Double.NaN` if the array is empty.
min(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the minimum of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
min(int, int) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the minimum of two values
min(long, long) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the minimum of two values
min(float, float) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the minimum of two values
min(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the minimum of two values
MIN_EXP - Static variable in class org.apache.commons.math3.dfp.Dfp
  The minimum exponent before underflow is signaled.
MIN_RELATIVE_TOLERANCE - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
  Minimum relative tolerance.
MIN_RELATIVE_TOLERANCE - Static variable in class org.apache.commons.math3.optim.univariate.BrentOptimizer
  Minimum relative tolerance.
MIN_RELATIVE_TOLERANCE - Static variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer
  Deprecated.
  Minimum relative tolerance.
MIN_RELATIVE_TOLERANCE - Static variable in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
  Deprecated.
  Minimum relative tolerance.
MIN_SELECT_SIZE - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Minimum size under which we use a simple insertion sort rather than Hoare's select.
minimalIterationCount - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  minimum number of iterations
minImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Minimum statistic implementation - can be reset by setter.
minImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Minimum statistic implementation - can be reset by setter.
minImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Minimum statistic implementation - can be reset by setter.
MINIMUM_PROBLEM_DIMENSION - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Minimum dimension of the problem: 2
MINIMUM_PROBLEM_DIMENSION - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Minimum dimension of the problem: 2
minPts - Variable in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
  Minimum number of points needed for a cluster.
minReduction - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
  Minimal reduction factor for stepsize control.
minReduction - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Minimal reduction factor for stepsize control.
minStep - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Minimal step.
Minus - Class in org.apache.commons.math3.analysis.function
  Minus function.
Minus() - Constructor for class org.apache.commons.math3.analysis.function.Minus
minus - Variable in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Tree at the minus side of the cut hyperplane.
minus - Variable in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
  Part of the sub-hyperplane on the minus side of the splitting hyperplane.
MINUS_I - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Opposite of the first canonical vector (coordinates: -1, 0, 0).
MINUS_J - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Opposite of the second canonical vector (coordinates: 0, -1, 0).
MINUS_K - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Opposite of the third canonical vector (coordinates: 0, 0, -1).
MINUS_ONE - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "-1 / 1".
MINUS_ONE - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "-1 / 1".
MINUS_ONE - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
MINUS_ONE - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
minusEpsZeta - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of (-eps[k+1] * zeta[k-1]).
minusFound - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.Sides
  Indicator of inside leaf nodes found on the plus side.
minusFound() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.Sides
  Check if inside leaf nodes have been found on the minus side.
minusOne - Variable in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
  The number `-1`.
minY - Variable in class org.apache.commons.math3.distribution.GammaDistribution
  Lower bound on `y = x / scale` for the selection of the computation method in `GammaDistribution.density(double)`.
missingEntries - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Return value for missing entries.
missingEntries - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Return value for missing entries.
MixtureMultivariateRealDistribution<T extends MultivariateRealDistribution> - Class in org.apache.commons.math3.distribution
  Class for representing mixture model distributions.
MixtureMultivariateRealDistribution(List<Pair<Double, T>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
  Creates a mixture model from a list of distributions and their associated weights.
MixtureMultivariateRealDistribution(RandomGenerator, List<Pair<Double, T>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
  Creates a mixture model from a list of distributions and their associated weights.
mode - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
  The step normalizer mode to use.
mode - Variable in class org.apache.commons.math3.random.ValueServer
  mode determines how values are generated.
model - Variable in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction
  Function to be optimized.
model - Variable in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Model function.
ModelFunction - Class in org.apache.commons.math3.optim.nonlinear.vector
  Model (vector) function to be optimized.
ModelFunction(MultivariateVectorFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction
ModelFunctionJacobian - Class in org.apache.commons.math3.optim.nonlinear.vector
  Jacobian of the model (vector) function to be optimized.
ModelFunctionJacobian(MultivariateMatrixFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian
modelSecondDerivativesParameters - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Parameters of the implicit second derivatives of the quadratic model.
modelSecondDerivativesParameters - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Parameters of the implicit second derivatives of the quadratic model.
modelSecondDerivativesValues - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Explicit second derivatives of the quadratic model.
modelSecondDerivativesValues - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Explicit second derivatives of the quadratic model.
ModelSpecificationException - Exception in org.apache.commons.math3.stat.regression
  Exception thrown when a regression model is not correctly specified.
ModelSpecificationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.stat.regression.ModelSpecificationException
moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Fourth Moment on which this statistic is based
moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Mean
  First moment on which this statistic is based.
moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Third moment on which this statistic is based
moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
  SecondMoment is used in incremental calculation of Variance
MSE_IDX - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
  INDEX of Mean Squared Error
msgArguments - Variable in class org.apache.commons.math3.exception.util.ExceptionContext
  Various informations that enrich the informative message.
msgPatterns - Variable in class org.apache.commons.math3.exception.util.ExceptionContext
  Various informations that enrich the informative message.
mt - Variable in class org.apache.commons.math3.random.MersenneTwister
  Bytes pool.
mti - Variable in class org.apache.commons.math3.random.MersenneTwister
  Current index in the bytes pool.
mu - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Number of parents/points for recombination.
mu - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Number of parents/points for recombination.
mu - Variable in class org.apache.commons.math3.random.ValueServer
  Mean for use with non-data-driven modes.
mudif - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  interpolation order control parameter.
mueff - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Variance-effectiveness of sum w_i x_i.
mueff - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Variance-effectiveness of sum w_i x_i.
mulAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Multiply two integers, checking for overflow.
mulAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Multiply two long integers, checking for overflow.
MullerSolver - Class in org.apache.commons.math3.analysis.solvers
  This class implements the Muller's Method for root finding of real univariate functions.
MullerSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
  Construct a solver with default accuracy (1e-6).
MullerSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
  Construct a solver.
MullerSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
  Construct a solver.
MullerSolver2 - Class in org.apache.commons.math3.analysis.solvers
  This class implements the Muller's Method for root finding of real univariate functions.
MullerSolver2() - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
  Construct a solver with default accuracy (1e-6).
MullerSolver2(double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
  Construct a solver.
MullerSolver2(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
  Construct a solver.
multiDimensionalComplexArray - Variable in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
  Deprecated.
  Storage array.
MultidimensionalCounter - Class in org.apache.commons.math3.util
  Converter between unidimensional storage structure and multidimensional conceptual structure.
MultidimensionalCounter(int...) - Constructor for class org.apache.commons.math3.util.MultidimensionalCounter
  Create a counter.
MultidimensionalCounter.Iterator - Class in org.apache.commons.math3.util
  Perform iteration over the multidimensional counter.
MultidimensionalCounter.Iterator() - Constructor for class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
  Create an iterator
MultiDimensionMismatchException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when two sets of dimensions differ.
MultiDimensionMismatchException(Integer[], Integer[]) - Constructor for exception org.apache.commons.math3.exception.MultiDimensionMismatchException
  Construct an exception from the mismatched dimensions.
MultiDimensionMismatchException(Localizable, Integer[], Integer[]) - Constructor for exception org.apache.commons.math3.exception.MultiDimensionMismatchException
  Construct an exception from the mismatched dimensions.
MultiDirectionalSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  This class implements the multi-directional direct search method.
MultiDirectionalSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(int, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(int, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(double[], double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(double[][], double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
  Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultiDirectionalSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(int, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(int, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(double[], double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(double[][], double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
  Deprecated.
  Build a multi-directional simplex with specified coefficients.
multIndirection - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Indirection arrays for multiplication.
MultipleLinearRegression - Interface in org.apache.commons.math3.stat.regression
  The multiple linear regression can be represented in matrix-notation.
MULTIPLICATIVE_MODE - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.ExpansionMode.MULTIPLICATIVE` instead.
multiply(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute n × this.
multiply(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  '×' operator.
multiply(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  '×' operator.
multiply(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Perform multiplication of two derivative structures.
Multiply - Class in org.apache.commons.math3.analysis.function
  Multiply the two operands.
Multiply() - Constructor for class org.apache.commons.math3.analysis.function.Multiply
multiply(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Multiplies functions.
multiply(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Multiplies functions.
multiply(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  as of 3.1 replaced by `FunctionUtils.multiply(UnivariateDifferentiableFunction...)`
multiply(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Multiply the instance by a polynomial.
multiply(Complex) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `this * factor`.
multiply(int) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `this * factor`, with `factor` interpreted as a integer number.
multiply(double) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `this * factor`, with `factor` interpreted as a real number.
multiply(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
  Returns the Hamilton product of two quaternions.
multiply(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
  Returns the Hamilton product of the instance by a quaternion.
multiply(double) - Method in class org.apache.commons.math3.complex.Quaternion
  Multiplies the instance by a scalar.
multiply(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Multiply this by x.
multiply(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Multiply this by a single digit x.
multiply(int) - Method in interface org.apache.commons.math3.FieldElement
  Compute n × this.
multiply(T) - Method in interface org.apache.commons.math3.FieldElement
  Compute this × a.
multiply(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
  Multiplies the value of this fraction by the passed `BigInteger`, returning the result in reduced form.
multiply(int) - Method in class org.apache.commons.math3.fraction.BigFraction
  Multiply the value of this fraction by the passed `int`, returning the result in reduced form.
multiply(long) - Method in class org.apache.commons.math3.fraction.BigFraction
  Multiply the value of this fraction by the passed `long`, returning the result in reduced form.
multiply(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
  Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
  Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(int) - Method in class org.apache.commons.math3.fraction.Fraction
  Multiply the fraction by an integer.
multiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Postmultiply this matrix by `m`.
multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the result of postmultiplying `this` by `m`.
multiply(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Postmultiplying this matrix by `m`.
multiply(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns the result of postmultiplying `this` by `m`.
multiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Postmultiply this matrix by `m`.
multiply(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the result of postmultiplying `this` by `m`.
multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the result of postmultiplying `this` by `m`.
multiply(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the result of postmultiplying this by `m`.
multiply(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Postmultiply this matrix by `m`.
multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Returns the result of postmultiplying `this` by `m`.
multiply(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Postmultiply this matrix by `m`.
multiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the result of postmultiplying `this` by `m`.
multiply(BigReal) - Method in class org.apache.commons.math3.util.BigReal
  Compute this × a.
multiply(int) - Method in class org.apache.commons.math3.util.BigReal
  Compute n × this.
multiply(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Compute this × a.
multiply(int) - Method in class org.apache.commons.math3.util.Decimal64
  Compute n × this.
MULTIPLY_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
  Name for traps triggered by multiplication.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Multiplies (in place) the specified entry of `this` matrix by the specified value.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Multiplies (in place) the specified entry of `this` matrix by the specified value.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Multiplies (in place) the specified entry of `this` matrix by the specified value.
multiplyEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Multiplies (in place) the specified entry of `this` matrix by the specified value.
multiplyEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Multiplies (in place) the specified entry of `this` matrix by the specified value.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Change an entry in the specified row and column.
multiplyFast(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Multiply this by a single digit 0<=x<radix.
MultiStartMultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Multi-start optimizer.
MultiStartMultivariateOptimizer(MultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
  Create a multi-start optimizer from a single-start optimizer.
MultiStartMultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
  Multi-start optimizer for a (vector) model function.
MultiStartMultivariateVectorOptimizer(MultivariateVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
  Create a multi-start optimizer from a single-start optimizer.
MultiStartUnivariateOptimizer - Class in org.apache.commons.math3.optim.univariate
  Special implementation of the `UnivariateOptimizer` interface adding multi-start features to an existing optimizer.
MultiStartUnivariateOptimizer(UnivariateOptimizer, int, RandomGenerator) - Constructor for class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Create a multi-start optimizer from a single-start optimizer.
MultistepIntegrator - Class in org.apache.commons.math3.ode
  This class is the base class for multistep integrators for Ordinary Differential Equations.
MultistepIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator
  Build a multistep integrator with the given stepsize bounds.
MultistepIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator
  Build a multistep integrator with the given stepsize bounds.
MultistepIntegrator.CountingDifferentialEquations - Class in org.apache.commons.math3.ode
  Wrapper for differential equations, ensuring start evaluations are counted.
MultistepIntegrator.CountingDifferentialEquations(int) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator.CountingDifferentialEquations
  Simple constructor.
MultistepIntegrator.InitializationCompletedMarkerException - Exception in org.apache.commons.math3.ode
  Marker exception used ONLY to stop the starter integrator after first step.
MultistepIntegrator.InitializationCompletedMarkerException() - Constructor for exception org.apache.commons.math3.ode.MultistepIntegrator.InitializationCompletedMarkerException
  Simple constructor.
MultistepIntegrator.NordsieckInitializer - Class in org.apache.commons.math3.ode
  Specialized step handler storing the first step.
MultistepIntegrator.NordsieckInitializer(int, int) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
  Simple constructor.
MultistepIntegrator.NordsieckTransformer - Interface in org.apache.commons.math3.ode
  Transformer used to convert the first step to Nordsieck representation.
MultivariateDifferentiableFunction - Interface in org.apache.commons.math3.analysis.differentiation
  Extension of `MultivariateFunction` representing a multivariate differentiable real function.
MultivariateDifferentiableMultiStartOptimizer - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateDifferentiableMultiStartOptimizer(MultivariateDifferentiableOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateDifferentiableMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
MultivariateDifferentiableOptimizer - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateDifferentiableVectorFunction - Interface in org.apache.commons.math3.analysis.differentiation
  Extension of `MultivariateVectorFunction` representing a multivariate differentiable vectorial function.
MultivariateDifferentiableVectorMultiStartOptimizer - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateDifferentiableVectorMultiStartOptimizer(MultivariateDifferentiableVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateDifferentiableVectorMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
MultivariateDifferentiableVectorOptimizer - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a multivariate real function.
MultivariateFunctionMappingAdapter - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Adapter for mapping bounded `MultivariateFunction` to unbounded ones.
MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
  Simple constructor.
MultivariateFunctionMappingAdapter - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
  Deprecated.
  Simple constructor.
MultivariateFunctionMappingAdapter.LowerBoundMapper - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Local class for lower bounds mapping.
MultivariateFunctionMappingAdapter.LowerBoundMapper(double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerBoundMapper
  Simple constructor.
MultivariateFunctionMappingAdapter.LowerBoundMapper - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  Local class for lower bounds mapping.
MultivariateFunctionMappingAdapter.LowerBoundMapper(double) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerBoundMapper
  Deprecated.
  Simple constructor.
MultivariateFunctionMappingAdapter.LowerUpperBoundMapper - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Local class for lower and bounds mapping.
MultivariateFunctionMappingAdapter.LowerUpperBoundMapper(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
  Simple constructor.
MultivariateFunctionMappingAdapter.LowerUpperBoundMapper - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  Local class for lower and bounds mapping.
MultivariateFunctionMappingAdapter.LowerUpperBoundMapper(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
  Deprecated.
  Simple constructor.
MultivariateFunctionMappingAdapter.Mapper - Interface in org.apache.commons.math3.optim.nonlinear.scalar
  Mapping interface.
MultivariateFunctionMappingAdapter.Mapper - Interface in org.apache.commons.math3.optimization.direct
  Deprecated.
  Mapping interface.
MultivariateFunctionMappingAdapter.NoBoundsMapper - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Local class for no bounds mapping.
MultivariateFunctionMappingAdapter.NoBoundsMapper() - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.NoBoundsMapper
MultivariateFunctionMappingAdapter.NoBoundsMapper - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  Local class for no bounds mapping.
MultivariateFunctionMappingAdapter.NoBoundsMapper() - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.NoBoundsMapper
  Deprecated.
  Simple constructor.
MultivariateFunctionMappingAdapter.UpperBoundMapper - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Local class for upper bounds mapping.
MultivariateFunctionMappingAdapter.UpperBoundMapper(double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.UpperBoundMapper
  Simple constructor.
MultivariateFunctionMappingAdapter.UpperBoundMapper - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  Local class for upper bounds mapping.
MultivariateFunctionMappingAdapter.UpperBoundMapper(double) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.UpperBoundMapper
  Deprecated.
  Simple constructor.
MultivariateFunctionPenaltyAdapter - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Adapter extending bounded `MultivariateFunction` to an unbouded domain using a penalty function.
MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
  Simple constructor.
MultivariateFunctionPenaltyAdapter - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
  Deprecated.
  Simple constructor.
MultivariateInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
  Interface representing a univariate real interpolating function.
MultivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a multivariate matrix function.
MultivariateMultiStartOptimizer - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateMultiStartOptimizer(MultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
MultivariateNormalDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the multivariate normal (Gaussian) distribution.
MultivariateNormalDistribution(double[], double[][]) - Constructor for class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Creates a multivariate normal distribution with the given mean vector and covariance matrix.
MultivariateNormalDistribution(RandomGenerator, double[], double[][]) - Constructor for class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Creates a multivariate normal distribution with the given mean vector and covariance matrix.
MultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Base class for a multivariate scalar function optimizer.
MultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
MultivariateOptimizer - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
MultivariateRealDistribution - Interface in org.apache.commons.math3.distribution
  Base interface for multivariate distributions on the reals.
MultivariateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
  Computes summary statistics for a stream of n-tuples added using the `addValue` method.
MultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Construct a MultivariateSummaryStatistics instance
MultivariateVectorFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a multivariate vectorial function.
MultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
  Base class for a multivariate vector function optimizer.
MultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
mutate(Chromosome) - Method in class org.apache.commons.math3.genetics.BinaryMutation
  Mutate the given chromosome.
mutate(Chromosome) - Method in interface org.apache.commons.math3.genetics.MutationPolicy
  Mutate the given chromosome.
mutate(Chromosome) - Method in class org.apache.commons.math3.genetics.RandomKeyMutation
  Mutate the given chromosome.
mutationPolicy - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
  the mutation policy used by the algorithm.
MutationPolicy - Interface in org.apache.commons.math3.genetics
  Algorithm used to mutate a chromosome.
mutationRate - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
  the rate of mutation for the algorithm.

## N

N - Static variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
  Number of points.
N - Static variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineFunction
  Number of points.
n - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Number of spline segments.
n - Variable in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
  Number of observations.
n - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
  min(row dimension, column dimension).
N - Static variable in class org.apache.commons.math3.random.MersenneTwister
  Size of the bytes pool.
n - Variable in class org.apache.commons.math3.stat.correlation.Covariance
  Number of observations (length of covariate vectors)
n - Variable in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
  number of observations
n - Variable in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
  Count of values that have been added
n - Variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
  Number of vectors in the sample.
n - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Count of values that have been added
n - Variable in class org.apache.commons.math3.stat.descriptive.rank.Max
  Number of values that have been added
n - Variable in class org.apache.commons.math3.stat.descriptive.rank.Min
  Number of values that have been added
n - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
  The number of observations in the sample
n - Variable in class org.apache.commons.math3.stat.descriptive.summary.Product
  The number of values that have been added
n - Variable in class org.apache.commons.math3.stat.descriptive.summary.Sum
n - Variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Number of values that have been added
n - Variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
n - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  count of values that have been added
n - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
  number of observations
name - Variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Name of the rotations order.
name - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
  Name of the method.
name - Variable in exception org.apache.commons.math3.ode.UnknownParameterException
  Parameter name.
NaN - Static variable in class org.apache.commons.math3.complex.Complex
  A complex number representing "NaN + NaNi"
NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  A vector with all coordinates set to NaN.
NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  A vector with all coordinates set to NaN.
NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  A vector with all coordinates set to NaN.
nan - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Not A Number marker.
NAN - Static variable in class org.apache.commons.math3.util.Decimal64
  The constant value of `Double.NaN` as a `Decimal64`.
NAN_STRING - Static variable in class org.apache.commons.math3.dfp.Dfp
  String for NaN representation.
nans - Variable in class org.apache.commons.math3.dfp.Dfp
  Indicator for non-finite / non-number values.
NaNStrategy - Enum in org.apache.commons.math3.stat.ranking
  Strategies for handling NaN values in rank transformations.
NaNStrategy() - Constructor for enum org.apache.commons.math3.stat.ranking.NaNStrategy
nanStrategy - Variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
  NaN strategy - defaults to NaNs maximal
naturalRanking - Variable in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
  Ranking algorithm.
naturalRanking - Variable in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
  Ranking algorithm.
NaturalRanking - Class in org.apache.commons.math3.stat.ranking
  Ranking based on the natural ordering on doubles.
NaturalRanking() - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
  Create a NaturalRanking with default strategies for handling ties and NaNs.
NaturalRanking(TiesStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
  Create a NaturalRanking with the given TiesStrategy.
NaturalRanking(NaNStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
  Create a NaturalRanking with the given NaNStrategy.
NaturalRanking(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
  Create a NaturalRanking with the given NaNStrategy and TiesStrategy.
NaturalRanking(RandomGenerator) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
  Create a NaturalRanking with TiesStrategy.RANDOM and the given RandomGenerator as the source of random data.
NaturalRanking(NaNStrategy, RandomGenerator) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
  Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data.
NaturalRanking.IntDoublePair - Class in org.apache.commons.math3.stat.ranking
  Represents the position of a double value in an ordering.
NaturalRanking.IntDoublePair(double, int) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
  Construct an IntDoublePair with the given value and position.
nbPoints - Variable in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Number of points to use.
nDev - Variable in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
  Deviation of most recently added value from previous first moment, normalized by previous sample size.
nDevSq - Variable in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
  Square of deviation of most recently added value from previous first moment, normalized by previous sample size.
NEG_INFINITY_STRING - Static variable in class org.apache.commons.math3.dfp.Dfp
  String for negative infinity representation.
negate() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  unary '-' operator.
negate() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Negate the instance.
negate() - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `(-this)`.
negate() - Method in class org.apache.commons.math3.dfp.Dfp
  Returns a number that is this number with the sign bit reversed.
negate() - Method in interface org.apache.commons.math3.FieldElement
  Returns the additive inverse of `this` element.
negate() - Method in class org.apache.commons.math3.fraction.BigFraction
  Return the additive inverse of this fraction, returning the result in reduced form.
negate() - Method in class org.apache.commons.math3.fraction.Fraction
  Return the additive inverse of this fraction.
negate() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get the opposite of the instance.
negate() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the opposite of the instance.
negate() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the opposite of the instance.
negate() - Method in interface org.apache.commons.math3.geometry.Vector
  Get the opposite of the instance.
negate() - Method in class org.apache.commons.math3.util.BigReal
  Returns the additive inverse of `this` element.
negate() - Method in class org.apache.commons.math3.util.Decimal64
  Returns the additive inverse of `this` element.
NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  A vector with all coordinates set to negative infinity.
NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  A vector with all coordinates set to negative infinity.
NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  A vector with all coordinates set to negative infinity.
NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.util.Decimal64
  The constant value of `Double.NEGATIVE_INFINITY` as a `Decimal64`.
NEGATIVE_VAR_COLUMN_LABEL - Static variable in class org.apache.commons.math3.optim.linear.SimplexTableau
  Column label for negative vars.
NEGATIVE_VAR_COLUMN_LABEL - Static variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Column label for negative vars.
negativeOrNull() - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is less than or equal to 0.
negInf - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Negative infinity marker.
NelderMeadSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  This class implements the Nelder-Mead simplex algorithm.
NelderMeadSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(int, double, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(int, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(double[], double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(double[][], double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
NelderMeadSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(int, double, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(int, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(double[], double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(double[][], double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Build a Nelder-Mead simplex with specified coefficients.
NestedLoops - Class in org.apache.commons.math3.geometry.euclidean.twod
  This class represent a tree of nested 2D boundary loops.
NestedLoops() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
  Simple Constructor.
NestedLoops(Vector2D[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
  Constructor.
NevilleInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Implements the Neville's Algorithm for interpolation of real univariate functions.
NevilleInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator
NEW_INSTANCE_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
  Name for traps triggered by newInstance.
newCovarianceData(double[][]) - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
  Add the covariance data.
newDfp() - Method in class org.apache.commons.math3.dfp.DfpField
  Makes a `Dfp` with a value of 0.
newDfp(byte) - Method in class org.apache.commons.math3.dfp.DfpField
  Create an instance from a byte value.
newDfp(int) - Method in class org.apache.commons.math3.dfp.DfpField
  Create an instance from an int value.
newDfp(long) - Method in class org.apache.commons.math3.dfp.DfpField
  Create an instance from a long value.
newDfp(double) - Method in class org.apache.commons.math3.dfp.DfpField
  Create an instance from a double value.
newDfp(Dfp) - Method in class org.apache.commons.math3.dfp.DfpField
  Copy constructor.
newDfp(String) - Method in class org.apache.commons.math3.dfp.DfpField
  Create a `Dfp` given a String representation.
newDfp(byte, byte) - Method in class org.apache.commons.math3.dfp.DfpField
  Creates a `Dfp` with a non-finite value.
newFixedLengthChromosome(List<T>) - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
  Creates a new instance of the same class as `this` is, with a given `arrayRepresentation`.
newInstance() - Method in class org.apache.commons.math3.dfp.Dfp
  Create an instance with a value of 0.
newInstance(byte) - Method in class org.apache.commons.math3.dfp.Dfp
  Create an instance from a byte value.
newInstance(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Create an instance from an int value.
newInstance(long) - Method in class org.apache.commons.math3.dfp.Dfp
  Create an instance from a long value.
newInstance(double) - Method in class org.apache.commons.math3.dfp.Dfp
  Create an instance from a double value.
newInstance(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Create an instance by copying an existing one.
newInstance(String) - Method in class org.apache.commons.math3.dfp.Dfp
  Create an instance from a String representation.
newInstance(byte, byte) - Method in class org.apache.commons.math3.dfp.Dfp
  Creates an instance with a non-finite value.
newInstance() - Method in class org.apache.commons.math3.dfp.DfpDec
  Create an instance with a value of 0.
newInstance(byte) - Method in class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a byte value.
newInstance(int) - Method in class org.apache.commons.math3.dfp.DfpDec
  Create an instance from an int value.
newInstance(long) - Method in class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a long value.
newInstance(double) - Method in class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a double value.
newInstance(Dfp) - Method in class org.apache.commons.math3.dfp.DfpDec
  Create an instance by copying an existing one.
newInstance(String) - Method in class org.apache.commons.math3.dfp.DfpDec
  Create an instance from a String representation.
newInstance(byte, byte) - Method in class org.apache.commons.math3.dfp.DfpDec
  Creates an instance with a non-finite value.
newPoint - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Point chosen by function `trsbox` or `altmov`.
newPoint - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Point chosen by function `trsbox` or `altmov`.
newPointAndDirection(double[], double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
  Compute a new point (in the original space) and a new direction vector, resulting from the line search.
newPointAndDirection(double[], double[], double) - Method in class org.apache.commons.math3.optimization.direct.PowellOptimizer
  Deprecated.
  Compute a new point (in the original space) and a new direction vector, resulting from the line search.
newSampleData(double[], int, int) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Loads model x and y sample data from a flat input array, overriding any previous sample.
newSampleData(double[], double[][], double[][]) - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
  Replace sample data, overriding any previous sample.
newSampleData(double[], double[][]) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Loads model x and y sample data, overriding any previous sample.
newSampleData(double[], int, int) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Loads model x and y sample data from a flat input array, overriding any previous sample.
NewtonRaphsonSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements Newton's Method for finding zeros of real univariate differentiable functions.
NewtonRaphsonSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
  Construct a solver.
NewtonRaphsonSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
  Construct a solver.
NewtonSolver - Class in org.apache.commons.math3.analysis.solvers
  Deprecated.
  as of 3.1, replaced by `NewtonRaphsonSolver`
NewtonSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonSolver
  Deprecated.
  Construct a solver.
NewtonSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonSolver
  Deprecated.
  Construct a solver.
newXSampleData(double[][]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Loads new x sample data, overriding any previous data.
newXSampleData(double[][]) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Loads new x sample data, overriding any previous data.
newYSampleData(double[]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Loads new y sample data, overriding any previous data.
next() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
  Deprecated.
next - Variable in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
  Deprecated.
  Next entry for `RealVector.SparseEntryIterator.next()` to return.
next() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
  Deprecated.
next(int) - Method in class org.apache.commons.math3.random.AbstractWell
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.ISAACRandom
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.MersenneTwister
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well1024a
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well19937a
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well19937c
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well44497a
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well44497b
  Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well512a
  Generate next pseudorandom number.
next() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
next - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
  Index of next element.
next - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
  Index of next element.
NEXT_AFTER_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
  Name for traps triggered by nextAfter.
nextAction - Variable in class org.apache.commons.math3.ode.events.EventState
  Next action indicator.
nextAfter(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Returns the next number greater than this one in the direction of x.
nextAfter(Dfp) - Method in class org.apache.commons.math3.dfp.DfpDec
  Returns the next number greater than this one in the direction of x.
nextAfter(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Get the next machine representable number after a number, moving in the direction of another number.
nextAfter(float, double) - Static method in class org.apache.commons.math3.util.FastMath
  Get the next machine representable number after a number, moving in the direction of another number.
nextBeta(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Beta Distribution`.
nextBeta(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Beta Distribution`.
nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Binomial Distribution`.
nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Binomial Distribution`.
nextBoolean() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Returns the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Returns the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.math3.random.RandomAdaptor
  Returns the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence.
nextBoolean() - Method in interface org.apache.commons.math3.random.RandomGenerator
  Returns the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Returns the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence.
nextBytes(byte[]) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.math3.random.RandomAdaptor
  Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in interface org.apache.commons.math3.random.RandomGenerator
  Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Generates random bytes and places them into a user-supplied byte array.
nextCauchy(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Cauchy Distribution`.
nextCauchy(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Cauchy Distribution`.
nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `ChiSquare Distribution`.
nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `ChiSquare Distribution`.
nextDouble() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Returns the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Returns the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.math3.random.RandomAdaptor
  Returns the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` from this random number generator's sequence.
nextDouble() - Method in interface org.apache.commons.math3.random.RandomGenerator
  Returns the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Returns the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` from this random number generator's sequence.
nextExponential(double) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a random value from the exponential distribution with specified mean.
nextExponential(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the exponential distribution with specified mean.
nextExponential(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the exponential distribution with specified mean.
nextF(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `F Distribution`.
nextF(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `F Distribution`.
nextFloat() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Returns the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Returns the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.math3.random.RandomAdaptor
  Returns the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` from this random number generator's sequence.
nextFloat() - Method in interface org.apache.commons.math3.random.RandomGenerator
  Returns the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Returns the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` from this random number generator's sequence.
nextGamma(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Gamma Distribution`.
nextGamma(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Gamma Distribution`.
nextGaussian() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Returns the next pseudorandom, Gaussian ("normally") distributed `double` value with mean `0.0` and standard deviation `1.0` from this random number generator's sequence.
nextGaussian - Variable in class org.apache.commons.math3.random.BitsStreamGenerator
  Next gaussian.
nextGaussian() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Returns the next pseudorandom, Gaussian ("normally") distributed `double` value with mean `0.0` and standard deviation `1.0` from this random number generator's sequence.
nextGaussian() - Method in class org.apache.commons.math3.random.RandomAdaptor
  Returns the next pseudorandom, Gaussian ("normally") distributed `double` value with mean `0.0` and standard deviation `1.0` from this random number generator's sequence.
nextGaussian(double, double) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.
nextGaussian(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.
nextGaussian(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.
nextGaussian() - Method in interface org.apache.commons.math3.random.RandomGenerator
  Returns the next pseudorandom, Gaussian ("normally") distributed `double` value with mean `0.0` and standard deviation `1.0` from this random number generator's sequence.
nextGaussian() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Returns the next pseudorandom, Gaussian ("normally") distributed `double` value with mean `0.0` and standard deviation `1.0` from this random number generator's sequence.
nextGeneration() - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
  Start the population for the next generation.
nextGeneration(Population) - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Evolve the given population into the next generation.
nextGeneration() - Method in interface org.apache.commons.math3.genetics.Population
  Start the population for the next generation.
nextHexString(int) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a random string of hex characters of length `len`.
nextHexString(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random string of hex characters of length `len`.
nextHexString(int) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random string of hex characters of length `len`.
nextHypergeometric(int, int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Hypergeometric Distribution`.
nextHypergeometric(int, int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Hypergeometric Distribution`.
nextIndex(int, int) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
  Computes the next index of an array, clipping if necessary.
nextIndex(int, int) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
  Compute the next index of an array, clipping if necessary.
nextInt() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Returns the next pseudorandom, uniformly distributed `int` value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Returns a pseudorandom, uniformly distributed `int` value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Returns the next pseudorandom, uniformly distributed `int` value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Returns a pseudorandom, uniformly distributed `int` value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.math3.random.RandomAdaptor
  Returns the next pseudorandom, uniformly distributed `int` value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math3.random.RandomAdaptor
  Returns a pseudorandom, uniformly distributed `int` value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt(int, int) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included).
nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included).
nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included).
nextInt() - Method in interface org.apache.commons.math3.random.RandomGenerator
  Returns the next pseudorandom, uniformly distributed `int` value from this random number generator's sequence.
nextInt(int) - Method in interface org.apache.commons.math3.random.RandomGenerator
  Returns a pseudorandom, uniformly distributed `int` value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Returns the next pseudorandom, uniformly distributed `int` value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Returns a pseudorandom, uniformly distributed `int` value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInversionDeviate(RealDistribution) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  use the distribution's sample() method
nextInversionDeviate(IntegerDistribution) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  use the distribution's sample() method
nextLong() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Returns the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Returns the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math3.random.RandomAdaptor
  Returns the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence.
nextLong(long, long) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included).
nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included).
nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included).
nextLong() - Method in interface org.apache.commons.math3.random.RandomGenerator
  Returns the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Returns the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence.
nextNonzero(double[], int) - Static method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Return the smallest index `j` such that `j > i && (j == weights.length || weights[j] != 0)`.
nextNormalizedDouble() - Method in class org.apache.commons.math3.random.GaussianRandomGenerator
  Generate a random scalar with null mean and unit standard deviation.
nextNormalizedDouble() - Method in interface org.apache.commons.math3.random.NormalizedRandomGenerator
  Generate a random scalar with null mean and unit standard deviation.
nextNormalizedDouble() - Method in class org.apache.commons.math3.random.StableRandomGenerator
  Generate a random scalar with zero location and unit scale.
nextNormalizedDouble() - Method in class org.apache.commons.math3.random.UniformRandomGenerator
  Generate a random scalar with null mean and unit standard deviation.
nextPascal(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Pascal Distribution`.
nextPascal(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Pascal Distribution`.
nextPermutation(int, int) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates an integer array of length `k` whose entries are selected randomly, without repetition, from the integers `0, ..., n - 1` (inclusive).
nextPermutation(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates an integer array of length `k` whose entries are selected randomly, without repetition, from the integers `0, ..., n - 1` (inclusive).
nextPermutation(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates an integer array of length `k` whose entries are selected randomly, without repetition, from the integers `0, ..., n - 1` (inclusive).
nextPoisson(double) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
nextPoisson(double) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a random value from the Poisson distribution with the given mean.
nextPoisson(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the Poisson distribution with the given mean.
nextPoisson(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the Poisson distribution with the given mean.
nextPowerOfTwo(int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Find the smallest power of two greater than the input value
nextPowerOfTwo(int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Find the smallest power of two greater than the input value
nextSample(Collection<?>, int) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Returns an array of `k` objects selected randomly from the Collection `c`.
nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Returns an array of `k` objects selected randomly from the Collection `c`.
nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Returns an array of `k` objects selected randomly from the Collection `c`.
nextSecureHexString(int) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a random string of hex characters from a secure random sequence.
nextSecureHexString(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random string of hex characters from a secure random sequence.
nextSecureHexString(int) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random string of hex characters from a secure random sequence.
nextSecureInt(int, int) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included) from a secure random sequence.
nextSecureInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included) from a secure random sequence.
nextSecureInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a uniformly distributed random integer between `lower` and `upper` (endpoints included) from a secure random sequence.
nextSecureLong(long, long) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included) from a secure random sequence.
nextSecureLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included) from a secure random sequence.
nextSecureLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a uniformly distributed random long integer between `lower` and `upper` (endpoints included) from a secure random sequence.
nextT(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `T Distribution`.
nextT(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `T Distribution`.
nextUniform(double, double) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a uniformly distributed random value from the open interval `(lower, upper)` (i.e., endpoints excluded).
nextUniform(double, double, boolean) - Method in interface org.apache.commons.math3.random.RandomData
  Deprecated.
  Generates a uniformly distributed random value from the interval `(lower, upper)` or the interval `[lower, upper)`.
nextUniform(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a uniformly distributed random value from the open interval `(lower, upper)` (i.e., endpoints excluded).
nextUniform(double, double, boolean) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a uniformly distributed random value from the interval `(lower, upper)` or the interval `[lower, upper)`.
nextUniform(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a uniformly distributed random value from the open interval `(lower, upper)` (i.e., endpoints excluded).
nextUniform(double, double, boolean) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a uniformly distributed random value from the interval `(lower, upper)` or the interval `[lower, upper)`.
nextUp(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute next number towards positive infinity.
nextUp(float) - Static method in class org.apache.commons.math3.util.FastMath
  Compute next number towards positive infinity.
nextVector() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Generate a correlated random vector.
nextVector() - Method in interface org.apache.commons.math3.random.RandomVectorGenerator
  Generate a random vector.
nextVector() - Method in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
  Generate an uncorrelated random vector.
nextVector() - Method in class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
  Generate a random vector.
nextWeibull(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Weibull Distribution`.
nextWeibull(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Weibull Distribution`.
nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Generates a random value from the `Zipf Distribution`.
nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Generates a random value from the `Zipf Distribution`.
NO_FITNESS - Static variable in class org.apache.commons.math3.genetics.Chromosome
  Value assigned when no fitness has been computed yet.
NoBracketingException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when function values have the same sign at both ends of an interval.
NoBracketingException(double, double, double, double) - Constructor for exception org.apache.commons.math3.exception.NoBracketingException
  Construct the exception.
NoBracketingException(Localizable, double, double, double, double, Object...) - Constructor for exception org.apache.commons.math3.exception.NoBracketingException
  Construct the exception with a specific context.
nObs - Variable in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  number of observations
nobs - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  number of observations entered
nobs - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
  number of observations on which results are based
NoDataException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when the required data is missing.
NoDataException() - Constructor for exception org.apache.commons.math3.exception.NoDataException
  Construct the exception.
NoDataException(Localizable) - Constructor for exception org.apache.commons.math3.exception.NoDataException
  Construct the exception with a specific context.
node - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
  Node whose cut hyperplane contains this edge.
nodeCleaner - Variable in class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Visitor removing internal nodes attributes.
NoFeasibleSolutionException - Exception in org.apache.commons.math3.optim.linear
  This class represents exceptions thrown by optimizers when no solution fulfills the constraints.
NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math3.optim.linear.NoFeasibleSolutionException
  Simple constructor using a default message.
NoFeasibleSolutionException - Exception in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math3.optimization.linear.NoFeasibleSolutionException
  Deprecated.
  Simple constructor using a default message.
noIntercept - Variable in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Whether or not the regression model includes an intercept.
NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
  Non-linear conjugate gradient optimizer.
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Constructor with default `line search solver` and `preconditioner`.
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, UnivariateSolver) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Constructor with default `preconditioner`.
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, UnivariateSolver, Preconditioner) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
NonLinearConjugateGradientOptimizer(ConjugateGradientFormula) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  See `SimpleValueChecker.SimpleValueChecker()`
NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  Constructor with default `line search solver` and `preconditioner`.
NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>, UnivariateSolver) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  Constructor with default `preconditioner`.
NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>, UnivariateSolver, Preconditioner) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
NonLinearConjugateGradientOptimizer.BracketingStep - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
  The initial step is a factor with respect to the search direction (which itself is roughly related to the gradient of the function).
NonLinearConjugateGradientOptimizer.BracketingStep(double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
NonLinearConjugateGradientOptimizer.Formula - Enum in org.apache.commons.math3.optim.nonlinear.scalar.gradient
  Available choices of update formulas for the updating the parameter that is used to compute the successive conjugate search directions.
NonLinearConjugateGradientOptimizer.Formula() - Constructor for enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
  Default identity preconditioner.
NonLinearConjugateGradientOptimizer.IdentityPreconditioner() - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math3.optimization.general
  Deprecated.
  Default identity preconditioner.
NonLinearConjugateGradientOptimizer.IdentityPreconditioner() - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
  Deprecated.
NonLinearConjugateGradientOptimizer.LineSearchFunction - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
  Internal class for line search.
NonLinearConjugateGradientOptimizer.LineSearchFunction(double[], double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.LineSearchFunction
NonLinearConjugateGradientOptimizer.LineSearchFunction - Class in org.apache.commons.math3.optimization.general
  Deprecated.
  Internal class for line search.
NonLinearConjugateGradientOptimizer.LineSearchFunction(double[]) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.LineSearchFunction
  Deprecated.
  Simple constructor.
NonMonotonicSequenceException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when the a sequence of values is not monotonically increasing or decreasing.
NonMonotonicSequenceException(Number, Number, int) - Constructor for exception org.apache.commons.math3.exception.NonMonotonicSequenceException
  Construct the exception.
NonMonotonicSequenceException(Number, Number, int, MathArrays.OrderDirection, boolean) - Constructor for exception org.apache.commons.math3.exception.NonMonotonicSequenceException
  Construct the exception.
nonNegative - Variable in class org.apache.commons.math3.optim.linear.LinearOptimizer
  Whether to restrict the variables to non-negative values.
nonNegative - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Whether to restrict the variables to non-negative values.
NonNegativeConstraint - Class in org.apache.commons.math3.optim.linear
  A constraint for a linear optimization problem indicating whether all variables must be restricted to non-negative values.
NonNegativeConstraint(boolean) - Constructor for class org.apache.commons.math3.optim.linear.NonNegativeConstraint
NonPositiveDefiniteMatrixException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when a positive definite matrix is expected.
NonPositiveDefiniteMatrixException(double, int, double) - Constructor for exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
  Construct an exception.
NonPositiveDefiniteOperatorException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when a symmetric, definite positive `RealLinearOperator` is expected.
NonPositiveDefiniteOperatorException() - Constructor for exception org.apache.commons.math3.linear.NonPositiveDefiniteOperatorException
  Creates a new instance of this class.
NonSelfAdjointOperatorException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when a self-adjoint `RealLinearOperator` is expected.
NonSelfAdjointOperatorException() - Constructor for exception org.apache.commons.math3.linear.NonSelfAdjointOperatorException
  Creates a new instance of this class.
nonSerializableReplacement(Object) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Replaces a non-serializable object with an error message string.
nonSingular - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
  Singularity indicator.
NonSquareMatrixException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when a square matrix is expected.
NonSquareMatrixException(int, int) - Constructor for exception org.apache.commons.math3.linear.NonSquareMatrixException
  Construct an exception from the mismatched dimensions.
NonSquareOperatorException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when a square linear operator is expected.
NonSquareOperatorException(int, int) - Constructor for exception org.apache.commons.math3.linear.NonSquareOperatorException
  Construct an exception from the mismatched dimensions.
NonSymmetricMatrixException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when a symmetric matrix is expected.
NonSymmetricMatrixException(int, int, double) - Constructor for exception org.apache.commons.math3.linear.NonSymmetricMatrixException
  Construct an exception.
nordsieck - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
  Nordsieck matrix of the higher scaled derivatives.
nordsieck - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Nordsieck vector.
NordsieckStepInterpolator - Class in org.apache.commons.math3.ode.sampling
  This class implements an interpolator for integrators using Nordsieck representation.
NordsieckStepInterpolator() - Constructor for class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Simple constructor.
NordsieckStepInterpolator(NordsieckStepInterpolator) - Constructor for class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Copy constructor.
norm - Variable in class org.apache.commons.math3.analysis.function.Gaussian
  Normalization factor.
norm - Variable in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
  Normalization factor.
norm - Variable in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
  Deprecated.
  Normalization factor.
normal - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
  Normal vector characterizing a surface element.
normal() - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
  Return the normal vector.
normal - Variable in class org.apache.commons.math3.distribution.PoissonDistribution
  Distribution used to compute normal approximation.
normalApproximateProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Calculates the Poisson distribution function using a normal approximation.
NormalDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the normal (gaussian) distribution.
NormalDistribution() - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
  Create a normal distribution with mean equal to zero and standard deviation equal to one.
NormalDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
  Create a normal distribution using the given mean and standard deviation.
NormalDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
  Create a normal distribution using the given mean, standard deviation and inverse cumulative distribution accuracy.
NormalDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
  Creates a normal distribution.
normalization - Variable in class org.apache.commons.math3.transform.FastCosineTransformer
  The type of DCT to be performed.
normalization - Variable in class org.apache.commons.math3.transform.FastFourierTransformer
  The type of DFT to be performed.
normalization - Variable in class org.apache.commons.math3.transform.FastSineTransformer
  The type of DST to be performed.
normalize() - Method in class org.apache.commons.math3.complex.Quaternion
  Computes the normalized quaternion (the versor of the instance).
normalize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get a normalized vector aligned with the instance.
normalize() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get a normalized vector aligned with the instance.
normalize() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get a normalized vector aligned with the instance.
normalize() - Method in interface org.apache.commons.math3.geometry.Vector
  Get a normalized vector aligned with the instance.
normalize(LinearConstraint) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get a new equation equivalent to this one with a positive right hand side.
normalize(LinearConstraint) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get a new equation equivalent to this one with a positive right hand side.
normalize(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Normalize (standardize) the sample, so it is has a mean of 0 and a standard deviation of 1.
normalizeAngle(double, double) - Static method in class org.apache.commons.math3.util.MathUtils
  Normalize an angle in a 2&pi wide interval around a center value.
normalizeArray(double[], double) - Static method in class org.apache.commons.math3.util.MathArrays
  Normalizes an array to make it sum to a specified value.
normalizeConstraints(Collection<LinearConstraint>) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Get new versions of the constraints which have positive right hand sides.
normalizeConstraints(Collection<LinearConstraint>) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Get new versions of the constraints which have positive right hand sides.
normalized - Variable in class org.apache.commons.math3.analysis.function.Sinc
  For normalized sinc function.
normalized - Variable in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Storage for the normalized vector.
NormalizedRandomGenerator - Interface in org.apache.commons.math3.random
  This interface represent a normalized random generator for scalars.
normalizeTransformedData(double[][], DftNormalization, TransformType) - Static method in class org.apache.commons.math3.transform.FastFourierTransformer
  Applies the proper normalization to the specified transformed data.
normps - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Norm of ps, stored for efficiency.
normps - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Norm of ps, stored for efficiency.
NotANumberException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when a number is not a number.
NotANumberException() - Constructor for exception org.apache.commons.math3.exception.NotANumberException
  Construct the exception.
NotARotationMatrixException - Exception in org.apache.commons.math3.geometry.euclidean.threed
  This class represents exceptions thrown while building rotations from matrices.
NotARotationMatrixException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.geometry.euclidean.threed.NotARotationMatrixException
  Simple constructor.
NotFiniteNumberException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when a number is not finite.
NotFiniteNumberException(Number, Object...) - Constructor for exception org.apache.commons.math3.exception.NotFiniteNumberException
  Construct the exception.
NotFiniteNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.NotFiniteNumberException
  Construct the exception with a specific context.
NotPositiveException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when the argument is negative.
NotPositiveException(Number) - Constructor for exception org.apache.commons.math3.exception.NotPositiveException
  Construct the exception.
NotPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math3.exception.NotPositiveException
  Construct the exception with a specific context.
NotStrictlyPositiveException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when the argument is negative.
NotStrictlyPositiveException(Number) - Constructor for exception org.apache.commons.math3.exception.NotStrictlyPositiveException
  Construct the exception.
NotStrictlyPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math3.exception.NotStrictlyPositiveException
  Construct the exception with a specific context.
NPointCrossover<T> - Class in org.apache.commons.math3.genetics
  N-point crossover policy.
NPointCrossover(int) - Constructor for class org.apache.commons.math3.genetics.NPointCrossover
  Creates a new `NPointCrossover` policy using the given number of points.
nSteps - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
  Number of steps of the multistep method (excluding the one being computed).
nthRoot(int) - Method in class org.apache.commons.math3.complex.Complex
  Computes the n-th roots of this complex number.
NullArgumentException - Exception in org.apache.commons.math3.exception
  All conditions checks that fail due to a `null` argument must throw this exception.
NullArgumentException() - Constructor for exception org.apache.commons.math3.exception.NullArgumentException
  Default constructor.
NullArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.NullArgumentException
numArtificialVariables - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
  Number of artificial variables.
numArtificialVariables - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Number of artificial variables.
NumberIsTooLargeException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when a number is too large.
NumberIsTooLargeException(Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooLargeException
  Construct the exception.
NumberIsTooLargeException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooLargeException
  Construct the exception with a specific context.
NumberIsTooSmallException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when a number is too small.
NumberIsTooSmallException(Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooSmallException
  Construct the exception.
NumberIsTooSmallException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooSmallException
  Construct the exception with a specific context.
numberOfElements - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
  Number of elements.
numberOfInterpolationPoints - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  numberOfInterpolationPoints XXX
numberOfInterpolationPoints - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  numberOfInterpolationPoints XXX
numberOfPoints - Variable in class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
  Number of integration points (per interval).
numberOfSuccesses - Variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
  The number of successes in the population.
numberOfSuccesses - Variable in class org.apache.commons.math3.distribution.PascalDistribution
  The number of successes.
numberOfTrials - Variable in class org.apache.commons.math3.distribution.BinomialDistribution
  The number of trials.
NumberTransformer - Interface in org.apache.commons.math3.util
  Subclasses implementing this interface can transform Objects to doubles.
numDecisionVariables - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
  Number of decision variables.
numDecisionVariables - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Number of decision variables.
numElements - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
  The number of addressable elements in the array.
numerator - Variable in class org.apache.commons.math3.fraction.BigFraction
  The numerator.
numerator - Variable in class org.apache.commons.math3.fraction.Fraction
  The numerator.
numeratorDegreesOfFreedom - Variable in class org.apache.commons.math3.distribution.FDistribution
  The numerator degrees of freedom.
numeratorFormat - Variable in class org.apache.commons.math3.fraction.AbstractFormat
  The format used for the numerator.
numericalMean - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
  Cached numerical mean
numericalMean - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
  Cached numerical mean
numericalMeanIsCalculated - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
  Whether or not the numerical mean has been calculated
numericalMeanIsCalculated - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
  Whether or not the numerical mean has been calculated
numericalVariance - Variable in class org.apache.commons.math3.distribution.FDistribution
  Cached numerical variance
numericalVariance - Variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Cached numerical variance
numericalVariance - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
  Cached numerical variance
numericalVariance - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
  Cached numerical variance
numericalVarianceIsCalculated - Variable in class org.apache.commons.math3.distribution.FDistribution
  Whether or not the numerical variance has been calculated
numericalVarianceIsCalculated - Variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Whether or not the numerical variance has been calculated
numericalVarianceIsCalculated - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
  Whether or not the numerical variance has been calculated
numericalVarianceIsCalculated - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
  Whether or not the numerical variance has been calculated
numGenerations - Variable in class org.apache.commons.math3.genetics.FixedGenerationCount
  Number of generations that have passed
numSlackVariables - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
  Number of slack variables.
numSlackVariables - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Number of slack variables.
nvars - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  number of variables in regression

## O

objective - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1.
ObjectiveFunction - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Scalar function to be optimized.
ObjectiveFunction(MultivariateFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction
ObjectiveFunctionGradient - Class in org.apache.commons.math3.optim.nonlinear.scalar
  Gradient of the scalar function to be optimized.
ObjectiveFunctionGradient(MultivariateVectorFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient
observations - Variable in class org.apache.commons.math3.fitting.CurveFitter
  Observed points.
observations - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
  Observations to be compared to objective function to compute residuals.
observations - Variable in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Observed points.
observations - Variable in class org.apache.commons.math3.optimization.LeastSquaresConverter
  Deprecated.
  Observations to be compared to objective function to compute residuals.
OCTAVE_FORMAT - Static variable in class org.apache.commons.math3.linear.MatrixUtils
  A format for `RealMatrix` objects compatible with octave.
ode - Variable in class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
  Raw ODE without jacobians computation skill to be wrapped into a MainStateJacobianProvider.
ODEIntegrator - Interface in org.apache.commons.math3.ode
  This interface defines the common parts shared by integrators for first and second order differential equations.
offset - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Offset scale.
offset - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
  Penalty offset.
offset - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
  Deprecated.
  Penalty offset.
oldb - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of beta[k].
oldOptimizer - Variable in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  as of 3.1 replaced by `CurveFitter.optimizer`
OLSMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
  Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.
OLSMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
omega - Variable in class org.apache.commons.math3.analysis.function.HarmonicOscillator
  Angular frequency.
omega - Variable in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
  Angular frequency.
omega - Variable in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
  Deprecated.
  Angular frequency.
Omega - Variable in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
  Covariance matrix.
omegaCount - Variable in class org.apache.commons.math3.complex.RootsOfUnity
  Number of roots of unity.
omegaImaginaryClockwise - Variable in class org.apache.commons.math3.complex.RootsOfUnity
  Imaginary part of the `n`-th roots of unity, for negative values of `n`.
omegaImaginaryCounterClockwise - Variable in class org.apache.commons.math3.complex.RootsOfUnity
  Imaginary part of the `n`-th roots of unity, for positive values of `n`.
OmegaInverse - Variable in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
  Inverse of covariance matrix.
omegaReal - Variable in class org.apache.commons.math3.complex.RootsOfUnity
  Real part of the roots.
ONE - Static variable in class org.apache.commons.math3.complex.Complex
  A complex number representing "1.0 + 0.0i"
one - Variable in class org.apache.commons.math3.dfp.DfpField
  A `Dfp` with value 1.
ONE - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "1".
ONE - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "1".
ONE - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Unit (coordinates: 1).
ONE - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
ONE - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
ONE - Static variable in class org.apache.commons.math3.util.BigReal
  A big real representing 1.
ONE - Static variable in class org.apache.commons.math3.util.Decimal64
  The constant value of `1d` as a `Decimal64`.
ONE_FIFTH - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "1/5".
ONE_FIFTH - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "1/5".
ONE_HALF - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "1/2".
ONE_HALF - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "1/2".
ONE_HUNDRED - Static variable in class org.apache.commons.math3.fraction.BigFraction
  `BigInteger` representation of 100.
ONE_MINUS_INV_SQRT_2 - Static variable in class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
  First Gill coefficient.
ONE_OVER_A_THOUSAND - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
ONE_OVER_A_THOUSAND - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
ONE_OVER_EIGHT - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
ONE_OVER_EIGHT - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
ONE_OVER_FOUR - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
ONE_OVER_FOUR - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
ONE_OVER_TEN - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
ONE_OVER_TEN - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
ONE_PLUS_INV_SQRT_2 - Static variable in class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
  Second Gill coefficient.
ONE_QUARTER - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "1/4".
ONE_QUARTER - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "1/4".
ONE_THIRD - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "1/3".
ONE_THIRD - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "1/3".
ONE_WAY_ANANOVA - Static variable in class org.apache.commons.math3.stat.inference.TestUtils
  Singleton OneWayAnova instance.
oneHalf - Variable in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
  The number `0.5`.
oneOverN - Variable in class org.apache.commons.math3.analysis.function.Logistic
  Parameter that affects near which asymptote maximum growth occurs.
OnePointCrossover<T> - Class in org.apache.commons.math3.genetics
  One point crossover policy.
OnePointCrossover() - Constructor for class org.apache.commons.math3.genetics.OnePointCrossover
ones(int, int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
ones(int, int) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
OneWayAnova - Class in org.apache.commons.math3.stat.inference
  Implements one-way ANOVA (analysis of variance) statistics.
OneWayAnova() - Constructor for class org.apache.commons.math3.stat.inference.OneWayAnova
  Default constructor.
OneWayAnova.AnovaStats - Class in org.apache.commons.math3.stat.inference
  Convenience class to pass dfbg,dfwg,F values around within OneWayAnova.
OneWayAnova.AnovaStats(int, int, double) - Constructor for class org.apache.commons.math3.stat.inference.OneWayAnova.AnovaStats
  Constructor
oneWayAnovaFValue(Collection<double[]>) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
oneWayAnovaPValue(Collection<double[]>) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
oneWayAnovaTest(Collection<double[]>, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
OpenIntToDoubleHashMap - Class in org.apache.commons.math3.util
  Open addressed map from int to double.
OpenIntToDoubleHashMap() - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Build an empty map with default size and using NaN for missing entries.
OpenIntToDoubleHashMap(double) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Build an empty map with default size
OpenIntToDoubleHashMap(int) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Build an empty map with specified size and using NaN for missing entries.
OpenIntToDoubleHashMap(int, double) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Build an empty map with specified size.
OpenIntToDoubleHashMap(OpenIntToDoubleHashMap) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Copy constructor.
OpenIntToDoubleHashMap.Iterator - Class in org.apache.commons.math3.util
  Iterator class for the map.
OpenIntToDoubleHashMap.Iterator() - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
  Simple constructor.
OpenIntToFieldHashMap<T extends FieldElement<T>> - Class in org.apache.commons.math3.util
  Open addressed map from int to FieldElement.
OpenIntToFieldHashMap(Field<T>) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Build an empty map with default size and using zero for missing entries.
OpenIntToFieldHashMap(Field<T>, T) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Build an empty map with default size
OpenIntToFieldHashMap(Field<T>, int) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Build an empty map with specified size and using zero for missing entries.
OpenIntToFieldHashMap(Field<T>, int, T) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Build an empty map with specified size.
OpenIntToFieldHashMap(OpenIntToFieldHashMap<T>) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Copy constructor.
OpenIntToFieldHashMap.Iterator - Class in org.apache.commons.math3.util
  Iterator class for the map.
OpenIntToFieldHashMap.Iterator() - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
  Simple constructor.
OpenMapRealMatrix - Class in org.apache.commons.math3.linear
  Deprecated.
  As of version 3.1, this class is deprecated, for reasons exposed in this JIRA ticket. This class will be removed in version 4.0.
OpenMapRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Build a sparse matrix with the supplied row and column dimensions.
OpenMapRealMatrix(OpenMapRealMatrix) - Constructor for class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Build a matrix by copying another one.
OpenMapRealVector - Class in org.apache.commons.math3.linear
  Deprecated.
  As of version 3.1, this class is deprecated, for reasons exposed in this JIRA ticket. This class will be removed in version 4.0.
OpenMapRealVector() - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Build a 0-length vector.
OpenMapRealVector(int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Construct a vector of zeroes.
OpenMapRealVector(int, double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Construct a vector of zeroes, specifying zero tolerance.
OpenMapRealVector(OpenMapRealVector, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Build a resized vector, for use with append.
OpenMapRealVector(int, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Build a vector with known the sparseness (for advanced use only).
OpenMapRealVector(int, int, double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Build a vector with known the sparseness and zero tolerance setting (for advanced use only).
OpenMapRealVector(double[]) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Create from an array.
OpenMapRealVector(double[], double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Create from an array, specifying zero tolerance.
OpenMapRealVector(Double[]) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Create from an array.
OpenMapRealVector(Double[], double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Create from an array.
OpenMapRealVector(OpenMapRealVector) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Copy constructor.
OpenMapRealVector(RealVector) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Generic copy constructor.
OpenMapRealVector.OpenMapEntry - Class in org.apache.commons.math3.linear
  Deprecated.
  Implementation of `Entry` optimized for OpenMap.
OpenMapRealVector.OpenMapEntry(OpenIntToDoubleHashMap.Iterator) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
  Deprecated.
  Build an entry from an iterator point to an element.
OpenMapRealVector.OpenMapSparseIterator - Class in org.apache.commons.math3.linear
  Deprecated.
  Iterator class to do iteration over just the non-zero elements.
OpenMapRealVector.OpenMapSparseIterator() - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
  Deprecated.
  Simple constructor.
operate(T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the result of multiplying this by the vector `v`.
operate(FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the result of multiplying this by the vector `v`.
operate(double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the result of multiplying this by the vector `v`.
operate(RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the result of multiplying `this` by the vector `x`.
operate(T[]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Returns the result of multiplying this by the vector `v`.
operate(double[]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns the result of multiplying this by the vector `v`.
operate(T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the result of multiplying this by the vector `v`.
operate(double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the result of multiplying this by the vector `v`.
operate(T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the result of multiplying this by the vector `v`.
operate(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the result of multiplying this by the vector `v`.
operate(RealVector) - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
  Returns the result of multiplying `this` by the vector `x`.
operate(RealVector) - Method in class org.apache.commons.math3.linear.RealLinearOperator
  Returns the result of multiplying `this` by the vector `x`.
operate(double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the result of multiplying this by the vector `v`.
operate(RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the result of multiplying this by the vector `v`.
operateTranspose(RealVector) - Method in class org.apache.commons.math3.linear.RealLinearOperator
  Returns the result of multiplying the transpose of `this` operator by the vector `x` (optional operation).
OPERATOR - Static variable in class org.apache.commons.math3.linear.ConjugateGradient
  Key for the exception context.
OPERATOR - Static variable in class org.apache.commons.math3.linear.SymmLQ
  Key for the exception context.
oppositeRelationship() - Method in enum org.apache.commons.math3.optim.linear.Relationship
  Gets the relationship obtained when multiplying all coefficients by -1.
oppositeRelationship() - Method in enum org.apache.commons.math3.optimization.linear.Relationship
  Deprecated.
  Get the relationship obtained when multiplying all coefficients by -1.
optima - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
  Found optima.
optima - Variable in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
  Found optima.
optima - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Found optima.
optima - Variable in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Found optima.
optima - Variable in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Found optima.
optima - Variable in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Found optima.
optimalStep - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  optimal steps for each order.
optimData - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Optimization data.
optimData - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Optimization data.
OptimizationData - Interface in org.apache.commons.math3.optim
  Marker interface.
OptimizationData - Interface in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
  Stores data and performs the optimization.
optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Optimize an objective function.
optimize(int, FUNC, GoalType, double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateOptimizer
  Deprecated.
  As of 3.1. In 4.0, it will be replaced by the declaration corresponding to this `method`.
optimize(int, FUNC, GoalType, double[], double[], double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateSimpleBoundsOptimizer
  Deprecated.
  Optimize an objective function.
optimize(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Optimize an objective function.
optimize(int, FUNC, double[], double[], double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateVectorOptimizer
  Deprecated.
  As of 3.1. In 4.0, this will be replaced by the declaration corresponding to this `method`.
optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  As of 3.1. Please use `BaseAbstractMultivariateOptimizer.optimize(int,MultivariateFunction,GoalType,OptimizationData[])` instead.
optimize(int, FUNC, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Optimize an objective function.
optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
  Deprecated.
  Optimize an objective function.
optimize(int, FUNC, GoalType, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
  Deprecated.
  Optimize an objective function.
optimize(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  As of 3.1. Please use `BaseAbstractMultivariateVectorOptimizer.optimize(int,MultivariateVectorFunction,OptimizationData[])` instead.
optimize(int, FUNC, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Optimize an objective function.
optimize(int, DifferentiableMultivariateVectorFunction, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Please use `optimize(int,MultivariateDifferentiableVectorFunction,OptimizationData...)` instead.
optimize(int, MultivariateDifferentiableVectorFunction, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Please use `optimize(int,MultivariateDifferentiableVectorFunction,OptimizationData...)` instead.
optimize(int, MultivariateDifferentiableFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
  Deprecated.
  Optimize an objective function.
optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Optimizes an objective function.
optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
  Deprecated.
  Optimizes an objective function.
optimize(int, UnivariateFunction, GoalType, double, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Find an optimum in the given interval, start at startValue.
optimize(int, UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Find an optimum in the given interval.
optimize(int, FUNC, GoalType, double, double) - Method in interface org.apache.commons.math3.optimization.univariate.BaseUnivariateOptimizer
  Deprecated.
  Find an optimum in the given interval.
optimize(int, FUNC, GoalType, double, double, double) - Method in interface org.apache.commons.math3.optimization.univariate.BaseUnivariateOptimizer
  Deprecated.
  Find an optimum in the given interval, start at startValue.
optimize(int, FUNC, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Find an optimum in the given interval.
optimize(int, FUNC, GoalType, double, double, double) - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Find an optimum in the given interval, start at startValue.
optimizeInternal(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  As of 3.1. Please use `BaseAbstractMultivariateOptimizer.optimize(int,MultivariateFunction,GoalType,OptimizationData[])` instead.
optimizeInternal(int, FUNC, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Optimize an objective function.
optimizeInternal(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  As of 3.1. Please use `BaseAbstractMultivariateVectorOptimizer.optimizeInternal(int,MultivariateVectorFunction,OptimizationData[])` instead.
optimizeInternal(int, FUNC, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Optimize an objective function.
optimizeInternal(int, MultivariateFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Optimize an objective function.
optimizeInternal(int, MultivariateFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
  Deprecated.
  Optimize an objective function.
optimizeInternal(int, MultivariateDifferentiableFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
  Deprecated.
  In 3.1. Please use `AbstractDifferentiableOptimizer.optimizeInternal(int,MultivariateDifferentiableFunction,GoalType,OptimizationData[])` instead.
optimizeInternal(int, MultivariateDifferentiableFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
  Deprecated.
  Optimize an objective function.
optimizeInternal(int, MultivariateDifferentiableVectorFunction, OptimizationData...) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Override is necessary only until this class's generic argument is changed to `MultivariateDifferentiableVectorFunction`.
optimizeInternal(int, DifferentiableMultivariateFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
  Deprecated.
  Optimize an objective function.
optimizer - Variable in class org.apache.commons.math3.fitting.CurveFitter
  Optimizer to use for the fitting.
optimizer - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Underlying classical optimizer.
optimizer - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
  Underlying optimizer.
optimizer - Variable in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
  Underlying optimizer.
optimizer - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Underlying classical optimizer.
optimizer - Variable in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Underlying classical optimizer.
optimizer - Variable in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Underlying classical optimizer.
optimizer - Variable in class org.apache.commons.math3.optimization.fitting.CurveFitter
  Deprecated.
  Optimizer to use for the fitting.
optimizer - Variable in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Underlying classical optimizer.
order - Variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
  Derivation order.
order - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Derivation order.
orderControl1 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  first order control factor.
orderControl2 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  second order control factor.
OrderedCrossover<T> - Class in org.apache.commons.math3.genetics
  Order 1 Crossover [OX1] builds offspring from ordered chromosomes by copying a consecutive slice from one parent, and filling up the remaining genes from the other parent as they appear.
OrderedCrossover() - Constructor for class org.apache.commons.math3.genetics.OrderedCrossover
OrderedTuple - Class in org.apache.commons.math3.geometry.partitioning.utilities
  This class implements an ordering operation for T-uples.
OrderedTuple(double...) - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Build an ordered T-uple from its components.
ordinate - Variable in class org.apache.commons.math3.analysis.function.StepFunction
  Ordinates.
org.apache.commons.math3 - package org.apache.commons.math3
  Common classes used throughout the commons-math library.
org.apache.commons.math3.analysis - package org.apache.commons.math3.analysis
  Parent package for common numerical analysis procedures, including root finding, function interpolation and integration.
org.apache.commons.math3.analysis.differentiation - package org.apache.commons.math3.analysis.differentiation
  This package holds the main interfaces and basic building block classes dealing with differentiation.
org.apache.commons.math3.analysis.function - package org.apache.commons.math3.analysis.function
  The `function` package contains function objects that wrap the methods contained in `Math`, as well as common mathematical functions such as the gaussian and sinc functions.
org.apache.commons.math3.analysis.integration - package org.apache.commons.math3.analysis.integration
  Numerical integration (quadrature) algorithms for univariate real functions.
org.apache.commons.math3.analysis.integration.gauss - package org.apache.commons.math3.analysis.integration.gauss
  Gauss family of quadrature schemes.
org.apache.commons.math3.analysis.interpolation - package org.apache.commons.math3.analysis.interpolation
  Univariate real functions interpolation algorithms.
org.apache.commons.math3.analysis.polynomials - package org.apache.commons.math3.analysis.polynomials
  Univariate real polynomials implementations, seen as differentiable univariate real functions.
org.apache.commons.math3.analysis.solvers - package org.apache.commons.math3.analysis.solvers
  Root finding algorithms, for univariate real functions.
org.apache.commons.math3.complex - package org.apache.commons.math3.complex
  Complex number type and implementations of complex transcendental functions.
org.apache.commons.math3.dfp - package org.apache.commons.math3.dfp
  Decimal floating point library for Java
org.apache.commons.math3.distribution - package org.apache.commons.math3.distribution
  Implementations of common discrete and continuous distributions.
org.apache.commons.math3.exception - package org.apache.commons.math3.exception
  Specialized exceptions for algorithms errors.
org.apache.commons.math3.exception.util - package org.apache.commons.math3.exception.util
  Classes supporting exception localization.
org.apache.commons.math3.filter - package org.apache.commons.math3.filter
  Implementations of common discrete-time linear filters.
org.apache.commons.math3.fitting - package org.apache.commons.math3.fitting
  Classes to perform curve fitting.
org.apache.commons.math3.fraction - package org.apache.commons.math3.fraction
  Fraction number type and fraction number formatting.
org.apache.commons.math3.genetics - package org.apache.commons.math3.genetics
  This package provides Genetic Algorithms components and implementations.
org.apache.commons.math3.geometry - package org.apache.commons.math3.geometry
  This package is the top level package for geometry.
org.apache.commons.math3.geometry.euclidean.oned - package org.apache.commons.math3.geometry.euclidean.oned
  This package provides basic 1D geometry components.
org.apache.commons.math3.geometry.euclidean.threed - package org.apache.commons.math3.geometry.euclidean.threed
  This package provides basic 3D geometry components.
org.apache.commons.math3.geometry.euclidean.twod - package org.apache.commons.math3.geometry.euclidean.twod
  This package provides basic 2D geometry components.
org.apache.commons.math3.geometry.partitioning - package org.apache.commons.math3.geometry.partitioning
  This package provides classes to implement Binary Space Partition trees.
org.apache.commons.math3.geometry.partitioning.utilities - package org.apache.commons.math3.geometry.partitioning.utilities
  This package provides multidimensional ordering features for partitioning.
org.apache.commons.math3.linear - package org.apache.commons.math3.linear
  Linear algebra support.
org.apache.commons.math3.ode - package org.apache.commons.math3.ode
  This package provides classes to solve Ordinary Differential Equations problems.
org.apache.commons.math3.ode.events - package org.apache.commons.math3.ode.events
  This package provides classes to handle discrete events occurring during Ordinary Differential Equations integration.
org.apache.commons.math3.ode.nonstiff - package org.apache.commons.math3.ode.nonstiff
  This package provides classes to solve non-stiff Ordinary Differential Equations problems.
org.apache.commons.math3.ode.sampling - package org.apache.commons.math3.ode.sampling
  This package provides classes to handle sampling steps during Ordinary Differential Equations integration.
org.apache.commons.math3.optim - package org.apache.commons.math3.optim
  Generally, optimizers are algorithms that will either `minimize` or `maximize` a scalar function, called the `objective function`.
org.apache.commons.math3.optim.linear - package org.apache.commons.math3.optim.linear
  Optimization algorithms for linear constrained problems.
org.apache.commons.math3.optim.nonlinear.scalar - package org.apache.commons.math3.optim.nonlinear.scalar
  Algorithms for optimizing a scalar function.
org.apache.commons.math3.optim.nonlinear.scalar.gradient - package org.apache.commons.math3.optim.nonlinear.scalar.gradient
  This package provides optimization algorithms that require derivatives.
org.apache.commons.math3.optim.nonlinear.scalar.noderiv - package org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  This package provides optimization algorithms that do not require derivatives.
org.apache.commons.math3.optim.nonlinear.vector - package org.apache.commons.math3.optim.nonlinear.vector
  Algorithms for optimizing a vector function.
org.apache.commons.math3.optim.nonlinear.vector.jacobian - package org.apache.commons.math3.optim.nonlinear.vector.jacobian
  This package provides optimization algorithms that require derivatives.
org.apache.commons.math3.optim.univariate - package org.apache.commons.math3.optim.univariate
  One-dimensional optimization algorithms.
org.apache.commons.math3.optimization - package org.apache.commons.math3.optimization
  All classes and sub-packages of this package are deprecated.
org.apache.commons.math3.optimization.direct - package org.apache.commons.math3.optimization.direct
  This package provides optimization algorithms that don't require derivatives.
org.apache.commons.math3.optimization.fitting - package org.apache.commons.math3.optimization.fitting
  This package provides classes to perform curve fitting.
org.apache.commons.math3.optimization.general - package org.apache.commons.math3.optimization.general
  This package provides optimization algorithms that require derivatives.
org.apache.commons.math3.optimization.linear - package org.apache.commons.math3.optimization.linear
  This package provides optimization algorithms for linear constrained problems.
org.apache.commons.math3.optimization.univariate - package org.apache.commons.math3.optimization.univariate
  Univariate real functions minimum finding algorithms.
org.apache.commons.math3.random - package org.apache.commons.math3.random
  Random number and random data generators.
org.apache.commons.math3.special - package org.apache.commons.math3.special
  Implementations of special functions such as Beta and Gamma.
org.apache.commons.math3.stat - package org.apache.commons.math3.stat
  Data storage, manipulation and summary routines.
org.apache.commons.math3.stat.clustering - package org.apache.commons.math3.stat.clustering
  Clustering algorithms
org.apache.commons.math3.stat.correlation - package org.apache.commons.math3.stat.correlation
  Correlations/Covariance computations.
org.apache.commons.math3.stat.descriptive - package org.apache.commons.math3.stat.descriptive
  Generic univariate summary statistic objects.
org.apache.commons.math3.stat.descriptive.moment - package org.apache.commons.math3.stat.descriptive.moment
  Summary statistics based on moments.
org.apache.commons.math3.stat.descriptive.rank - package org.apache.commons.math3.stat.descriptive.rank
  Summary statistics based on ranks.
org.apache.commons.math3.stat.descriptive.summary - package org.apache.commons.math3.stat.descriptive.summary
  Other summary statistics.
org.apache.commons.math3.stat.inference - package org.apache.commons.math3.stat.inference
  Classes providing hypothesis testing and confidence interval construction.
org.apache.commons.math3.stat.ranking - package org.apache.commons.math3.stat.ranking
  Classes providing rank transformations.
org.apache.commons.math3.stat.regression - package org.apache.commons.math3.stat.regression
  Statistical routines involving multivariate data.
org.apache.commons.math3.transform - package org.apache.commons.math3.transform
  Implementations of transform methods, including Fast Fourier transforms.
org.apache.commons.math3.util - package org.apache.commons.math3.util
  Convenience routines and common data structures used throughout the commons-math library.
OrientedPoint - Class in org.apache.commons.math3.geometry.euclidean.oned
  This class represents a 1D oriented hyperplane.
OrientedPoint(Vector1D, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Simple constructor.
origin - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Origin of the plane frame.
originalIsClockwise - Variable in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
  Indicator for original loop orientation.
originOffset - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Offset of the origin with respect to the plane.
originOffset - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Offset of the frame origin.
originShift - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Shift of origin that should reduce the contributions from rounding errors to values of the model and Lagrange functions.
originShift - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Shift of origin that should reduce the contributions from rounding errors to values of the model and Lagrange functions.
ort - Variable in class org.apache.commons.math3.linear.HessenbergTransformer
  Temporary storage vector.
orthogonal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get a vector orthogonal to the instance.
orthogonalizeMatrix(double[][], double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Perfect orthogonality on a 3X3 matrix.
orthoTolerance - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Desired max cosine on the orthogonality between the function vector and the columns of the jacobian.
orthoTolerance - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Desired max cosine on the orthogonality between the function vector and the columns of the jacobian.
outerProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute the outer product.
outerProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute the outer product.
outerProduct(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Compute the outer product.
outerProduct(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Compute the outer product.
outerProduct(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Compute the outer product.
outerProduct(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Optimized method to compute outer product when both vectors are sparse.
outerProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Compute the outer product.
outgoing - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
  Outgoing edge.
OutlineExtractor - Class in org.apache.commons.math3.geometry.euclidean.threed
  Extractor for `polyhedrons sets` outlines.
OutlineExtractor(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
  Build an extractor for a specific projection plane.
OutlineExtractor.BoundaryProjector - Class in org.apache.commons.math3.geometry.euclidean.threed
  Visitor projecting the boundary facets on a plane.
OutlineExtractor.BoundaryProjector() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
  Simple constructor.
OutOfRangeException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when some argument is out of range.
OutOfRangeException(Number, Number, Number) - Constructor for exception org.apache.commons.math3.exception.OutOfRangeException
  Construct an exception from the mismatched dimensions.
OutOfRangeException(Localizable, Number, Number, Number) - Constructor for exception org.apache.commons.math3.exception.OutOfRangeException
  Construct an exception from the mismatched dimensions with a specific context information.

## P

p - Variable in class org.apache.commons.math3.analysis.function.Power
  Power.
Pair<K,V> - Class in org.apache.commons.math3.util
  Generic pair.
Pair(K, V) - Constructor for class org.apache.commons.math3.util.Pair
  Create an entry representing a mapping from the specified key to the specified value.
Pair(Pair<? extends K, ? extends V>) - Constructor for class org.apache.commons.math3.util.Pair
  Create an entry representing the same mapping as the specified entry.
pairedT(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
pairedT(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes a paired, 2-sample t-statistic based on the data in the input arrays.
pairedTTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
pairedTTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
pairedTTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays.
pairedTTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between `sample1` and `sample2` is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level `alpha`.
paramDim - Variable in class org.apache.commons.math3.ode.JacobianMatrices
  Parameters dimension.
ParameterConfiguration - Class in org.apache.commons.math3.ode
  Simple container pairing a parameter name with a step in order to compute the associated Jacobian matrix by finite difference.
ParameterConfiguration(String, double) - Constructor for class org.apache.commons.math3.ode.ParameterConfiguration
  Parameter name and step pair constructor.
Parameterizable - Interface in org.apache.commons.math3.ode
  This interface enables to process any parameterizable object.
ParameterizedODE - Interface in org.apache.commons.math3.ode
  Interface to compute by finite difference Jacobian matrix for some parameter when computing `partial derivatives equations`.
ParameterizedWrapper - Class in org.apache.commons.math3.ode
  Wrapper class enabling `basic simple` ODE instances to be used when processing `JacobianMatrices`.
ParameterizedWrapper(FirstOrderDifferentialEquations) - Constructor for class org.apache.commons.math3.ode.ParameterizedWrapper
  Simple constructor.
ParameterJacobianProvider - Interface in org.apache.commons.math3.ode
  Interface to compute exactly Jacobian matrix for some parameter when computing `partial derivatives equations`.
ParameterJacobianWrapper - Class in org.apache.commons.math3.ode
  Wrapper class to compute Jacobian matrices by finite differences for ODE which do not compute them by themselves.
ParameterJacobianWrapper(FirstOrderDifferentialEquations, ParameterizedODE, ParameterConfiguration[]) - Constructor for class org.apache.commons.math3.ode.ParameterJacobianWrapper
  Wrap a `ParameterizedODE` into a `ParameterJacobianProvider`.
parameterName - Variable in class org.apache.commons.math3.ode.ParameterConfiguration
  Parameter name.
parameters - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Number of free parameters.
parameters - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
  regression slope parameters
parametersNames - Variable in class org.apache.commons.math3.ode.AbstractParameterizable
  List of the parameters names.
ParametricUnivariateFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a real function that depends on one independent variable plus some extra parameters.
parent - Variable in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Parent tree.
parent - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Parent tree.
parRelativeTolerance - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Desired relative error in the approximate solution parameters.
parRelativeTolerance - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Desired relative error in the approximate solution parameters.
parse(String) - Method in class org.apache.commons.math3.complex.ComplexFormat
  Parses a string to produce a `Complex` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
  Parses a string to produce a `Complex` object.
parse(String) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
  Parses a string to produce a `BigFraction` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
  Parses a string to produce a `BigFraction` object.
parse(String) - Method in class org.apache.commons.math3.fraction.FractionFormat
  Parses a string to produce a `Fraction` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
  Parses a string to produce a `Fraction` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
  Parses a string to produce a `BigFraction` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
  Parses a string to produce a `Fraction` object.
parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Parses a string to produce a `Vector` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Parses a string to produce a `Vector` object.
parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Parses a string to produce a `Vector3D` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Parses a string to produce a `Vector3D` object.
parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Parses a string to produce a `Vector` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Parses a string to produce a `Vector` object.
parse(String) - Method in class org.apache.commons.math3.geometry.VectorFormat
  Parses a string to produce a `Vector` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
  Parses a string to produce a `Vector` object.
parse(String) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Parse a string to produce a `RealMatrix` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
  Parse a string to produce a `RealMatrix` object.
parse(String) - Method in class org.apache.commons.math3.linear.RealVectorFormat
  Parse a string to produce a `RealVector` object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.linear.RealVectorFormat
  Parse a string to produce a `RealVector` object.
parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
  Parses `source` until a non-whitespace character is found.
parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
  Parses `source` until a non-whitespace character is found.
parseCoordinates(int, String, ParsePosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
  Parses a string to produce an array of coordinates.
parseFixedstring(String, String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
  Parse `source` for an expected fixed string.
parseNextBigInteger(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
  Parses a string to produce a `BigInteger`.
parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
  Parses `source` until a non-whitespace character is found.
parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
  Parses `source` until a non-whitespace character is found.
parseNumber(String, double, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
  Parses `source` for special double values.
parseNumber(String, NumberFormat, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
  Parses `source` for a number.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
  Deprecated.
  Scans the list of (required and optional) optimization data that characterize the problem.
partialDerivative(int) - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateFunction
  Deprecated.
  Returns the partial derivative of the function with respect to a point coordinate.
partialDerivative(int, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
partialDerivatives - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
  Partial derivatives The value of the first index determines the kind of derivatives: 0 = first partial derivatives wrt x 1 = first partial derivatives wrt y 2 = second partial derivatives wrt x 3 = second partial derivatives wrt y 4 = cross partial derivatives
partialDerivativeX - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
  First partial derivative along x.
partialDerivativeX() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
partialDerivativeX(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
partialDerivativeXX - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
  Second partial derivative along x.
partialDerivativeXX() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
partialDerivativeXX(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
partialDerivativeXY - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
  Second crossed partial derivative.
partialDerivativeXY() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
partialDerivativeXY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
partialDerivativeY - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
  First partial derivative along y.
partialDerivativeY() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
partialDerivativeY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
partialDerivativeYY - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
  Second partial derivative along y.
partialDerivativeYY() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
partialDerivativeYY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
partition(double[], int, int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Partition an array slice around a pivot
PascalDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the Pascal distribution.
PascalDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.PascalDistribution
  Create a Pascal distribution with the given number of successes and probability of success.
PascalDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.PascalDistribution
  Create a Pascal distribution with the given number of successes and probability of success.
PATH_IS_EXPLORED - Static variable in exception org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer.PathIsExploredException
PATH_IS_EXPLORED - Static variable in exception org.apache.commons.math3.optimization.direct.BOBYQAOptimizer.PathIsExploredException
  Deprecated.
pB(int) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  The probability of bin i.
pBminus(int) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  The combined probability of the bins up to but not including bin i.
pc - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Evolution path.
pc - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Evolution path.
PearsonsCorrelation - Class in org.apache.commons.math3.stat.correlation
  Computes Pearson's product-moment correlation coefficients for pairs of arrays or columns of a matrix.
PearsonsCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Create a PearsonsCorrelation instance without data
PearsonsCorrelation(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Create a PearsonsCorrelation from a rectangular array whose columns represent values of variables to be correlated.
PearsonsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Create a PearsonsCorrelation from a RealMatrix whose columns represent variables to be correlated.
PearsonsCorrelation(Covariance) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Create a PearsonsCorrelation from a `Covariance`.
PearsonsCorrelation(RealMatrix, int) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
  Create a PearsonsCorrelation from a covariance matrix.
PegasusSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements the Pegasus method for root-finding (approximating a zero of a univariate real function).
PegasusSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
  Construct a solver with default accuracy (1e-6).
PegasusSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
  Construct a solver.
PegasusSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
  Construct a solver.
PegasusSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
  Construct a solver.
penalty(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
penalty(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
  Deprecated.
pendingEvent - Variable in class org.apache.commons.math3.ode.events.EventState
  Indicator of event expected during the step.
pendingEventTime - Variable in class org.apache.commons.math3.ode.events.EventState
  Occurrence time of the pending event.
percentageValue() - Method in class org.apache.commons.math3.fraction.BigFraction
  Gets the fraction percentage as a `double`.
percentageValue() - Method in class org.apache.commons.math3.fraction.Fraction
  Gets the fraction percentage as a `double`.
Percentile - Class in org.apache.commons.math3.stat.descriptive.rank
  Provides percentile computation.
Percentile() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Constructs a Percentile with a default quantile value of 50.0.
Percentile(double) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Constructs a Percentile with the specific quantile value.
Percentile(Percentile) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Copy constructor, creates a new `Percentile` identical to the `original`
PERCENTILE - Static variable in class org.apache.commons.math3.stat.StatUtils
  percentile
percentile(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns an estimate of the `p`th percentile of the values in the `values` array.
percentile(double[], int, int, double) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns an estimate of the `p`th percentile of the values in the `values` array, starting with the element in (0-based) position `begin` in the array and including `length` values.
percentileImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Percentile statistic implementation - can be reset by setter.
performDoubleQRStep(int, int, int, SchurTransformer.ShiftInfo, double[]) - Method in class org.apache.commons.math3.linear.SchurTransformer
  Perform a double QR step involving rows l:idx and columns m:n
performTest - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  stability check enabling parameter.
period - Variable in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
  Period.
permutation - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Columns permutation array.
permutation - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Columns permutation array.
PermutationChromosome<T> - Interface in org.apache.commons.math3.genetics
  Interface indicating that the chromosome represents a permutation of objects.
perturb(int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Perturb the hash for starting probing.
perturb(int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Perturb the hash for starting probing.
PERTURB_SHIFT - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Number of bits to perturb the index when probing for collision resolution.
PERTURB_SHIFT - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Number of bits to perturb the index when probing for collision resolution.
phase - Variable in class org.apache.commons.math3.analysis.function.HarmonicOscillator
  Phase.
phi - Variable in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
  Phase.
phi - Variable in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
  Deprecated.
  Phase.
pi - Variable in class org.apache.commons.math3.dfp.DfpField
  A `Dfp` with value π.
PI - Static variable in class org.apache.commons.math3.util.FastMath
  Archimede's constant PI, ratio of circle circumference to diameter.
PI_O_4_BITS - Static variable in class org.apache.commons.math3.util.FastMath
  Bits of pi/4, need for reducePayneHanek().
piSplit - Variable in class org.apache.commons.math3.dfp.DfpField
  A two elements `Dfp` array with value π split in two pieces.
piString - Static variable in class org.apache.commons.math3.dfp.DfpField
  High precision string representation of π.
pivot - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
  Pivot permutation associated with LU decomposition.
pivot - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
  Pivot permutation associated with LU decomposition.
pivot - Variable in class org.apache.commons.math3.linear.LUDecomposition
  Pivot permutation associated with LU decomposition.
pivot - Variable in class org.apache.commons.math3.linear.LUDecomposition.Solver
  Pivot permutation associated with LU decomposition.
Plane - Class in org.apache.commons.math3.geometry.euclidean.threed
  The class represent planes in a three dimensional space.
Plane(Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Build a plane normal to a given direction and containing the origin.
Plane(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Build a plane from a point and a normal.
Plane(Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Build a plane from three points.
Plane(Plane) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Copy constructor.
plus - Variable in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Tree at the plus side of the cut hyperplane.
plus - Variable in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
  Part of the sub-hyperplane on the plus side of the splitting hyperplane.
PLUS_I - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  First canonical vector (coordinates: 1, 0, 0).
PLUS_J - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Second canonical vector (coordinates: 0, 1, 0).
PLUS_K - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Third canonical vector (coordinates: 0, 0, 1).
plusFound - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.Sides
  Indicator of inside leaf nodes found on the plus side.
plusFound() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.Sides
  Check if inside leaf nodes have been found on the plus side.
plusInside - Variable in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
  Part of the node cut sub-hyperplane that belongs to the boundary and has the inside of the region on the plus side of its underlying hyperplane (may be null).
plusOutside - Variable in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
  Part of the node cut sub-hyperplane that belongs to the boundary and has the outside of the region on the plus side of its underlying hyperplane (may be null).
pode - Variable in class org.apache.commons.math3.ode.JacobianMatrices
  FODE without exact parameter Jacobian computation skill.
pode - Variable in class org.apache.commons.math3.ode.ParameterJacobianWrapper
  Raw ODE without Jacobian computation skill to be wrapped into a ParameterJacobianProvider.
point - Variable in class org.apache.commons.math3.optim.PointValuePair.DataTransferObject
  Point coordinates.
point - Variable in class org.apache.commons.math3.optim.PointVectorValuePair.DataTransferObject
  Point coordinates.
point - Variable in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
  Point.
point - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1.
point - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  Current point.
point - Variable in class org.apache.commons.math3.optimization.PointValuePair.DataTransferObject
  Deprecated.
  Point coordinates.
point - Variable in class org.apache.commons.math3.optimization.PointVectorValuePair.DataTransferObject
  Deprecated.
  Point coordinates.
point - Variable in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
  Deprecated.
  Point.
point - Variable in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
  Point coordinates.
point - Variable in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
  Point coordinates.
pointAt(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Get one point from the line.
pointIsBetween(Vector2D[], int, int) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
  Check if a point is geometrically between its neighbour in an array.
points - Variable in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
  Nodes.
points - Variable in class org.apache.commons.math3.stat.clustering.Cluster
  The points contained in this cluster.
pointsAndWeights - Variable in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
  List of points and weights, indexed by the order of the rule.
pointsAndWeightsDouble - Variable in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
  Cache for double-precision rules.
PointValuePair - Class in org.apache.commons.math3.optim
  This class holds a point and the value of an objective function at that point.
PointValuePair(double[], double) - Constructor for class org.apache.commons.math3.optim.PointValuePair
  Builds a point/objective function value pair.
PointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math3.optim.PointValuePair
  Builds a point/objective function value pair.
PointValuePair - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
PointValuePair(double[], double) - Constructor for class org.apache.commons.math3.optimization.PointValuePair
  Deprecated.
  Builds a point/objective function value pair.
PointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math3.optimization.PointValuePair
  Deprecated.
  Builds a point/objective function value pair.
PointValuePair.DataTransferObject - Class in org.apache.commons.math3.optim
  Internal class used only for serialization.
PointValuePair.DataTransferObject(double[], double) - Constructor for class org.apache.commons.math3.optim.PointValuePair.DataTransferObject
  Simple constructor.
PointValuePair.DataTransferObject - Class in org.apache.commons.math3.optimization
  Deprecated.
  Internal class used only for serialization.
PointValuePair.DataTransferObject(double[], double) - Constructor for class org.apache.commons.math3.optimization.PointValuePair.DataTransferObject
  Deprecated.
  Simple constructor.
PointVectorValuePair - Class in org.apache.commons.math3.optim
  This class holds a point and the vectorial value of an objective function at that point.
PointVectorValuePair(double[], double[]) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair
  Builds a point/objective function value pair.
PointVectorValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair
  Build a point/objective function value pair.
PointVectorValuePair - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
PointVectorValuePair(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair
  Deprecated.
  Builds a point/objective function value pair.
PointVectorValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair
  Deprecated.
  Build a point/objective function value pair.
PointVectorValuePair.DataTransferObject - Class in org.apache.commons.math3.optim
  Internal class used only for serialization.
PointVectorValuePair.DataTransferObject(double[], double[]) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair.DataTransferObject
  Simple constructor.
PointVectorValuePair.DataTransferObject - Class in org.apache.commons.math3.optimization
  Deprecated.
  Internal class used only for serialization.
PointVectorValuePair.DataTransferObject(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair.DataTransferObject
  Deprecated.
  Simple constructor.
PoissonDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the Poisson distribution.
PoissonDistribution(double) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
  Creates a new Poisson distribution with specified mean.
PoissonDistribution(double, double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
  Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations.
PoissonDistribution(RandomGenerator, double, double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
  Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations.
PoissonDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
  Creates a new Poisson distribution with the specified mean and convergence criterion.
PoissonDistribution(double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
  Creates a new Poisson distribution with the specified mean and maximum number of iterations.
polar2Complex(double, double) - Static method in class org.apache.commons.math3.complex.ComplexUtils
  Creates a complex number from the given polar representation.
polyCosine(double) - Static method in class org.apache.commons.math3.util.FastMath
  Computes cos(x) - 1, where |x| < 1/16.
polygon - Variable in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
  Polygon enclosing a finite region.
PolygonsSet - Class in org.apache.commons.math3.geometry.euclidean.twod
  This class represents a 2D region: a set of polygons.
PolygonsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Build a polygons set representing the whole real line.
PolygonsSet(BSPTree<Euclidean2D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Build a polygons set from a BSP tree.
PolygonsSet(Collection<SubHyperplane<Euclidean2D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Build a polygons set from a Boundary REPresentation (B-rep).
PolygonsSet(double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Build a parallellepipedic box.
PolygonsSet(double, Vector2D...) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Build a polygon from a simple list of vertices.
PolygonsSet.ComparableSegment - Class in org.apache.commons.math3.geometry.euclidean.twod
  Private extension of Segment allowing comparison.
PolygonsSet.ComparableSegment(Vector2D, Vector2D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ComparableSegment
  Build a segment.
PolygonsSet.ComparableSegment(Vector2D, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ComparableSegment
  Build a dummy segment.
PolygonsSet.Edge - Class in org.apache.commons.math3.geometry.euclidean.twod
  Internal class for holding edges while they are processed to build a BSP tree.
PolygonsSet.Edge(PolygonsSet.Vertex, PolygonsSet.Vertex, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
  Build an edge not contained in any node yet.
PolygonsSet.SegmentsBuilder - Class in org.apache.commons.math3.geometry.euclidean.twod
  Visitor building segments.
PolygonsSet.SegmentsBuilder() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
  Simple constructor.
PolygonsSet.Vertex - Class in org.apache.commons.math3.geometry.euclidean.twod
  Internal class for holding vertices while they are processed to build a BSP tree.
PolygonsSet.Vertex(Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
  Build a non-processed vertex not owned by any node yet.
PolyhedronsSet - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class represents a 3D region: a set of polyhedrons.
PolyhedronsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Build a polyhedrons set representing the whole real line.
PolyhedronsSet(BSPTree<Euclidean3D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Build a polyhedrons set from a BSP tree.
PolyhedronsSet(Collection<SubHyperplane<Euclidean3D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Build a polyhedrons set from a Boundary REPresentation (B-rep).
PolyhedronsSet(double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Build a parallellepipedic box.
PolyhedronsSet.FacetsContributionVisitor - Class in org.apache.commons.math3.geometry.euclidean.threed
  Visitor computing geometrical properties.
PolyhedronsSet.FacetsContributionVisitor() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.FacetsContributionVisitor
  Simple constructor.
PolyhedronsSet.RotationTransform - Class in org.apache.commons.math3.geometry.euclidean.threed
  3D rotation as a Transform.
PolyhedronsSet.RotationTransform(Vector3D, Rotation) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
  Build a rotation transform.
PolyhedronsSet.TranslationTransform - Class in org.apache.commons.math3.geometry.euclidean.threed
  3D translation as a transform.
PolyhedronsSet.TranslationTransform(Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
  Build a translation transform.
polynomial(double...) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
  Create a polynomial from its coefficients.
polynomialDerivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Returns the derivative as a `PolynomialFunction`.
PolynomialFitter - Class in org.apache.commons.math3.fitting
  Polynomial fitting is a very simple case of `curve fitting`.
PolynomialFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.PolynomialFitter
  Simple constructor.
PolynomialFitter - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
  As of 3.1 (to be removed in 4.0).
PolynomialFitter(int, DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.PolynomialFitter
  Deprecated.
  Since 3.1 (to be removed in 4.0). Please use `PolynomialFitter.PolynomialFitter(DifferentiableMultivariateVectorOptimizer)` instead.
PolynomialFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.PolynomialFitter
  Deprecated.
  Simple constructor.
PolynomialFunction - Class in org.apache.commons.math3.analysis.polynomials
  Immutable representation of a real polynomial function with real coefficients.
PolynomialFunction(double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Construct a polynomial with the given coefficients.
polynomialFunction - Variable in class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
  Function.
PolynomialFunction.Parametric - Class in org.apache.commons.math3.analysis.polynomials
  Dedicated parametric polynomial class.
PolynomialFunction.Parametric() - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
PolynomialFunctionLagrangeForm - Class in org.apache.commons.math3.analysis.polynomials
  Implements the representation of a real polynomial function in Lagrange Form.
PolynomialFunctionLagrangeForm(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Construct a Lagrange polynomial with the given abscissas and function values.
PolynomialFunctionNewtonForm - Class in org.apache.commons.math3.analysis.polynomials
  Implements the representation of a real polynomial function in Newton Form.
PolynomialFunctionNewtonForm(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Construct a Newton polynomial with the given a[] and c[].
polynomials - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  The polynomial functions that make up the spline.
polynomials - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  Interpolation polynomials.
PolynomialSolver - Interface in org.apache.commons.math3.analysis.solvers
  Interface for (polynomial) root-finding algorithms.
polynomialSplineDerivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Get the derivative of the polynomial spline function.
PolynomialSplineFunction - Class in org.apache.commons.math3.analysis.polynomials
  Represents a polynomial spline function.
PolynomialSplineFunction(double[], PolynomialFunction[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Construct a polynomial spline function with the given segment delimiters and interpolating polynomials.
PolynomialsUtils - Class in org.apache.commons.math3.analysis.polynomials
  A collection of static methods that operate on or return polynomials.
PolynomialsUtils() - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Private constructor, to prevent instantiation.
PolynomialsUtils.JacobiKey - Class in org.apache.commons.math3.analysis.polynomials
  Inner class for Jacobi polynomials keys.
PolynomialsUtils.JacobiKey(int, int) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.JacobiKey
  Simple constructor.
PolynomialsUtils.RecurrenceCoefficientsGenerator - Interface in org.apache.commons.math3.analysis.polynomials
  Interface for recurrence coefficients generation.
polySine(double) - Static method in class org.apache.commons.math3.util.FastMath
  Computes sin(x) - x, where |x| < 1/16.
Population - Interface in org.apache.commons.math3.genetics
  A collection of chromosomes that facilitates generational evolution.
populationLimit - Variable in class org.apache.commons.math3.genetics.ListPopulation
  maximal size of the population
populationSize - Variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
  The population size.
populationVariance(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the population variance of the entries in the input array, or `Double.NaN` if the array is empty.
populationVariance(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the population variance of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
populationVariance(double[], double, int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the population variance of the entries in the specified portion of the input array, using the precomputed mean value.
populationVariance(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the population variance of the entries in the input array, using the precomputed mean value.
POS_INFINITY_STRING - Static variable in class org.apache.commons.math3.dfp.Dfp
  String for positive infinity representation.
posInf - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Positive infinity marker.
position - Variable in class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
  Original position of the pair
POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  A vector with all coordinates set to positive infinity.
POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  A vector with all coordinates set to positive infinity.
POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  A vector with all coordinates set to positive infinity.
POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.util.Decimal64
  The constant value of `Double.POSITIVE_INFINITY` as a `Decimal64`.
positiveOrNull() - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is greater than or equal to 0.
pow(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Power operation.
pow(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Integer power operation.
pow(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Power operation.
pow(double[], int, double, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute power of a derivative structure.
pow(double[], int, int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute integer power of a derivative structure.
pow(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute power of a derivative structure.
Pow - Class in org.apache.commons.math3.analysis.function
  Power function.
Pow() - Constructor for class org.apache.commons.math3.analysis.function.Pow
pow(Complex) - Method in class org.apache.commons.math3.complex.Complex
  Returns of value of this complex number raised to the power of `x`.
pow(double) - Method in class org.apache.commons.math3.complex.Complex
  Returns of value of this complex number raised to the power of `x`.
pow(Dfp, int) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Raises base to the power a by successive squaring.
pow(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Computes x to the y power.
pow(int) - Method in class org.apache.commons.math3.fraction.BigFraction
  Returns a `BigFraction` whose value is `(this<sup>exponent</sup>)`, returning the result in reduced form.
pow(long) - Method in class org.apache.commons.math3.fraction.BigFraction
  Returns a `BigFraction` whose value is `(thisexponent)`, returning the result in reduced form.
pow(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
  Returns a `BigFraction` whose value is `(thisexponent)`, returning the result in reduced form.
pow(double) - Method in class org.apache.commons.math3.fraction.BigFraction
  Returns a `double` whose value is `(thisexponent)`, returning the result in reduced form.
pow(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Raise an int to an int power.
pow(int, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Raise an int to a long power.
pow(long, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Raise a long to an int power.
pow(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Raise a long to a long power.
pow(BigInteger, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Raise a BigInteger to an int power.
pow(BigInteger, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Raise a BigInteger to a long power.
pow(BigInteger, BigInteger) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Raise a BigInteger to a BigInteger power.
pow(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Power function.
pow(double, int) - Static method in class org.apache.commons.math3.util.FastMath
  Raise a double to an int power.
POW_TRAP - Static variable in class org.apache.commons.math3.dfp.DfpMath
  Name for traps triggered by pow.
PowellOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  Powell algorithm.
PowellOptimizer(double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
  This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure.
PowellOptimizer(double, double, double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
  This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure and the line search tolerances.
PowellOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
  The parameters control the default convergence checking procedure.
PowellOptimizer(double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
  Builds an instance with the default convergence checking procedure.
PowellOptimizer - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
PowellOptimizer(double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
  Deprecated.
  This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure.
PowellOptimizer(double, double, double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
  Deprecated.
  This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure and the line search tolerances.
PowellOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
  Deprecated.
  The parameters control the default convergence checking procedure.
PowellOptimizer(double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
  Deprecated.
  Builds an instance with the default convergence checking procedure.
PowellOptimizer.LineSearch - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  Class for finding the minimum of the objective function along a given direction.
PowellOptimizer.LineSearch(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer.LineSearch
  The "BrentOptimizer" default stopping criterion uses the tolerances to check the domain (point) values, not the function values.
PowellOptimizer.LineSearch - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  Class for finding the minimum of the objective function along a given direction.
PowellOptimizer.LineSearch(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer.LineSearch
  Deprecated.
  The "BrentOptimizer" default stopping criterion uses the tolerances to check the domain (point) values, not the function values.
Power - Class in org.apache.commons.math3.analysis.function
  Power function.
Power(double) - Constructor for class org.apache.commons.math3.analysis.function.Power
power(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the result multiplying this with itself `p` times.
power(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the result of multiplying `this` with itself `p` times.
power(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the result multiplying this with itself `p` times.
power(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the result of multiplying `this` with itself `p` times.
power10(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Return the specified power of 10.
power10K(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Get the specified power of 10000.
POWERS_OF_TWO - Static variable in class org.apache.commons.math3.transform.TransformUtils
  Table of the powers of 2 to facilitate binary search lookup.
Precision - Class in org.apache.commons.math3.util
  Utilities for comparing numbers.
Precision() - Constructor for class org.apache.commons.math3.util.Precision
  Private constructor.
precondition(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
  Precondition a search direction.
precondition(double[], double[]) - Method in interface org.apache.commons.math3.optim.nonlinear.scalar.gradient.Preconditioner
  Precondition a search direction.
precondition(double[], double[]) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
  Deprecated.
  Precondition a search direction.
precondition(double[], double[]) - Method in interface org.apache.commons.math3.optimization.general.Preconditioner
  Deprecated.
  Precondition a search direction.
PreconditionedIterativeLinearSolver - Class in org.apache.commons.math3.linear
  This abstract class defines preconditioned iterative solvers.
PreconditionedIterativeLinearSolver(int) - Constructor for class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Creates a new instance of this class, with default iteration manager.
PreconditionedIterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Creates a new instance of this class, with custom iteration manager.
preconditioner - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Preconditioner (may be null).
Preconditioner - Interface in org.apache.commons.math3.optim.nonlinear.scalar.gradient
  This interface represents a preconditioner for differentiable scalar objective function optimizers.
preconditioner - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  Preconditioner (may be null).
Preconditioner - Interface in org.apache.commons.math3.optimization.general
  Deprecated.
  As of 3.1 (to be removed in 4.0).
predict() - Method in class org.apache.commons.math3.filter.KalmanFilter
  Predict the internal state estimation one time step ahead.
predict(double[]) - Method in class org.apache.commons.math3.filter.KalmanFilter
  Predict the internal state estimation one time step ahead.
predict(RealVector) - Method in class org.apache.commons.math3.filter.KalmanFilter
  Predict the internal state estimation one time step ahead.
predict(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Returns the "predicted" `y` value associated with the supplied `x` value, based on the data that has been added to the model when this method is activated.
prefix - Variable in class org.apache.commons.math3.geometry.VectorFormat
  Prefix.
prefix - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
  Prefix.
prefix - Variable in class org.apache.commons.math3.linear.RealVectorFormat
  Prefix.
prelim(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  SUBROUTINE PRELIM sets the elements of XBASE, XPT, FVAL, GOPT, HQ, PQ, BMAT and ZMAT for the first iteration, and it maintains the values of NF and KOPT.
prelim(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  SUBROUTINE PRELIM sets the elements of XBASE, XPT, FVAL, GOPT, HQ, PQ, BMAT and ZMAT for the first iteration, and it maintains the values of NF and KOPT.
preMultiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Premultiply this matrix by `m`.
preMultiply(T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the result of premultiplying `this` by `m`.
preMultiply(double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(T[]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(double[]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Premultiply this matrix by `m`.
preMultiply(T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the result of premultiplying `this` by `m`.
preMultiply(double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
preMultiply(RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the (row) vector result of premultiplying this by the vector `v`.
previous - Variable in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
  Previous value.
previous - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
  Previous state.
previousEventTime - Variable in class org.apache.commons.math3.ode.events.EventState
  Occurrence time of the previous event.
previousIndex(int) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
  Computes the previous index of an array, clipping if necessary.
previousIndex(int) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
  Compute the previous index of an array, clipping if necessary.
previousState - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
  Previous state.
primary - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Primary differential equation.
primaryMapper - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Mapper for primary equation.
primaryMapper - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Equations mapper for the primary equations set.
primaryState - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
  State.
primaryStateDot - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
  State derivative.
printarray(PrintStream, String, int, double[][]) - Static method in class org.apache.commons.math3.util.FastMathCalc
  Print an array.
printarray(PrintStream, String, int, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
  Print an array.
printMethod() - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
printMethod() - Static method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
printState(int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
printState(int) - Static method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
probability(double, double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
probability(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(double, double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
probability(double, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
probability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(int) - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  For a random variable `X` whose values are distributed according to this distribution, this method returns `P(X = x)`.
probabilityOfSuccess - Variable in class org.apache.commons.math3.distribution.BinomialDistribution
  The probability of success.
probabilityOfSuccess - Variable in class org.apache.commons.math3.distribution.PascalDistribution
  The probability of success.
probe(int, int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Compute next probe for collision resolution
probe(int, int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Compute next probe for collision resolution
processModel - Variable in class org.apache.commons.math3.filter.KalmanFilter
  The process model used by this filter instance.
ProcessModel - Interface in org.apache.commons.math3.filter
  Defines the process dynamics model for the use with a `KalmanFilter`.
processNoiseCovMatrix - Variable in class org.apache.commons.math3.filter.DefaultProcessModel
  The process noise covariance matrix.
Product - Class in org.apache.commons.math3.stat.descriptive.summary
  Returns the product of the available values.
Product() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Product
  Create a Product instance
Product(Product) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Product
  Copy constructor, creates a new `Product` identical to the `original`
PRODUCT - Static variable in class org.apache.commons.math3.stat.StatUtils
  prod
product(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the product of the entries in the input array, or `Double.NaN` if the array is empty.
product(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the product of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
productsSums - Variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
  Sums of products for each component.
projected - Variable in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
  Projection of the polyhedrons set on the plane.
projection(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Find the orthogonal projection of this vector onto another vector.
projection(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Find the orthogonal projection of this vector onto another vector.
projection(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Find the orthogonal projection of this vector onto another vector.
projection(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Find the orthogonal projection of this vector onto another vector.
projection(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Find the orthogonal projection of this vector onto another vector.
ProperBigFractionFormat - Class in org.apache.commons.math3.fraction
  Formats a BigFraction number in proper format.
ProperBigFractionFormat() - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
  Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
ProperBigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
  Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
ProperBigFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
  Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
ProperFractionFormat - Class in org.apache.commons.math3.fraction
  Formats a Fraction number in proper format.
ProperFractionFormat() - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
  Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
ProperFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
  Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
ProperFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
  Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
prototype - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Prototype of the step interpolator.
prototype - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
  Prototype of the step interpolator.
providesResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  Returns `true` if `IterativeLinearSolverEvent.getResidual()` is supported.
providesResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
  Returns `true` if `IterativeLinearSolverEvent.getResidual()` is supported.
ps - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Evolution path for sigma.
ps - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Evolution path for sigma.
pseudoInverse - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
  Pseudo-inverse of the initial matrix.
push(double[], double) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Pushes the current best fitness value in a history queue.
push(double[], double) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Pushes the current best fitness value in a history queue.
put(int, double) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Put a value associated with a key in the map.
put(int, T) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Put a value associated with a key in the map.
putTransformer(Class<?>, NumberTransformer) - Method in class org.apache.commons.math3.util.TransformerMap
  Sets a Class to Transformer Mapping in the Map.

## Q

q - Variable in class org.apache.commons.math3.analysis.function.Logistic
  Parameter that affects the position of the curve along the ordinate axis.
q0 - Variable in class org.apache.commons.math3.complex.Quaternion
  First component (scalar part).
q0 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Scalar coordinate of the quaternion.
q1 - Variable in class org.apache.commons.math3.complex.Quaternion
  Second component (first vector part).
q1 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  First coordinate of the vectorial part of the quaternion.
q2 - Variable in class org.apache.commons.math3.complex.Quaternion
  Third component (second vector part).
q2 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Second coordinate of the vectorial part of the quaternion.
q3 - Variable in class org.apache.commons.math3.complex.Quaternion
  Fourth component (third vector part).
q3 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Third coordinate of the vectorial part of the quaternion.
QNAN - Static variable in class org.apache.commons.math3.dfp.Dfp
  Indicator value for quiet NaN.
qr - Variable in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
  Cached QR decomposition of X matrix
QRDecomposition - Class in org.apache.commons.math3.linear
  Calculates the QR-decomposition of a matrix.
QRDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.QRDecomposition
  Calculates the QR-decomposition of the given matrix.
QRDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.QRDecomposition
  Calculates the QR-decomposition of the given matrix.
qrDecomposition(RealMatrix) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Decompose a matrix A as A.P = Q.R using Householder transforms.
qrDecomposition(RealMatrix) - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Decompose a matrix A as A.P = Q.R using Householder transforms.
QRDecomposition.Solver - Class in org.apache.commons.math3.linear
  Specialized solver.
QRDecomposition.Solver(double[][], double[], double) - Constructor for class org.apache.commons.math3.linear.QRDecomposition.Solver
  Build a solver from decomposed matrix.
qrRankingThreshold - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Threshold for QR ranking.
qrRankingThreshold - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Threshold for QR ranking.
qrt - Variable in class org.apache.commons.math3.linear.QRDecomposition
  A packed TRANSPOSED representation of the QR decomposition.
qrt - Variable in class org.apache.commons.math3.linear.QRDecomposition.Solver
  A packed TRANSPOSED representation of the QR decomposition.
qTy(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Compute the product Qt.y for some Q.R.
qTy(double[]) - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Compute the product Qt.y for some Q.R.
quadMult(double[], double[], double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
  Compute (a[0] + a[1]) * (b[0] + b[1]) in extended precision.
quantile - Variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Determines what percentile is computed when evaluate() is activated with no quantile argument
Quaternion - Class in org.apache.commons.math3.complex
  This class implements quaternions (Hamilton's hypercomplex numbers).
Quaternion(double, double, double, double) - Constructor for class org.apache.commons.math3.complex.Quaternion
  Builds a quaternion from its components.
Quaternion(double, double[]) - Constructor for class org.apache.commons.math3.complex.Quaternion
  Builds a quaternion from scalar and vector parts.
Quaternion(double[]) - Constructor for class org.apache.commons.math3.complex.Quaternion
  Builds a pure quaternion from a vector (assuming that the scalar part is zero).

## R

r - Variable in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  The current estimate of the residual.
r - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  the off diagonal portion of the R matrix
r1 - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of beta[k] * M^(-1) * P' * v[k].
r2 - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of beta[k+1] * M^(-1) * P' * v[k+1].
RADIX - Static variable in class org.apache.commons.math3.dfp.Dfp
  The radix, or base of this system.
radixDigits - Variable in class org.apache.commons.math3.dfp.DfpField
  The number of radix digits.
rand - Variable in class org.apache.commons.math3.random.RandomDataGenerator
  underlying random number generator
rand - Variable in class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
  RNG used for generating the individual components of the vectors.
randn(int) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
randn(int) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
randn1(int, int) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
randn1(int, int) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
random - Variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  RNG instance used to generate samples from the distribution.
random - Variable in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
  RNG instance used to generate samples from the distribution.
random - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
  RNG instance used to generate samples from the distribution.
random - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Random generator.
random - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Random generator.
random - Variable in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
  Random generator for choosing initial centers.
random() - Static method in class org.apache.commons.math3.util.FastMath
  Returns a pseudo-random number between 0.0 and 1.0.
RandomAdaptor - Class in org.apache.commons.math3.random
  Extension of `java.util.Random` wrapping a `RandomGenerator`.
RandomAdaptor() - Constructor for class org.apache.commons.math3.random.RandomAdaptor
  Prevent instantiation without a generator argument
RandomAdaptor(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomAdaptor
  Construct a RandomAdaptor wrapping the supplied RandomGenerator.
randomBinaryRepresentation(int) - Static method in class org.apache.commons.math3.genetics.BinaryChromosome
  Returns a representation of a random binary array of length `length`.
randomData - Variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  Deprecated.
  As of 3.1, to be removed in 4.0. Please use the `AbstractIntegerDistribution.random` instance variable instead.
randomData - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Deprecated.
  As of 3.1, to be removed in 4.0. Please use the `AbstractRealDistribution.random` instance variable instead.
randomData - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
  RandomDataGenerator instance to use in repeated calls to getNext()
RandomData - Interface in org.apache.commons.math3.random
  Deprecated.
  to be removed in 4.0. Use `RandomDataGenerator` directly
randomData - Variable in class org.apache.commons.math3.random.ValueServer
  RandomDataImpl to use for random data generation.
randomData - Variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
  Source of random data - used only when ties strategy is RANDOM
RandomDataGenerator - Class in org.apache.commons.math3.random
  Implements the `RandomData` interface using a `RandomGenerator` instance to generate non-secure data and a `SecureRandom` instance to provide data for the `nextSecureXxx` methods.
RandomDataGenerator() - Constructor for class org.apache.commons.math3.random.RandomDataGenerator
  Construct a RandomDataGenerator, using a default random generator as the source of randomness.
RandomDataGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomDataGenerator
  Construct a RandomDataGenerator using the supplied `RandomGenerator` as the source of (non-secure) random data.
RandomDataImpl - Class in org.apache.commons.math3.random
  Deprecated.
  to be removed in 4.0. Use `RandomDataGenerator` instead
RandomDataImpl() - Constructor for class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Construct a RandomDataImpl, using a default random generator as the source of randomness.
RandomDataImpl(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Construct a RandomDataImpl using the supplied `RandomGenerator` as the source of (non-secure) random data.
randomGenerator - Static variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Static random number generator shared by GA implementation classes.
randomGenerator - Variable in class org.apache.commons.math3.random.RandomAdaptor
  Wrapped randomGenerator instance
RandomGenerator - Interface in org.apache.commons.math3.random
  Interface extracted from `java.util.Random`.
RandomKey<T> - Class in org.apache.commons.math3.genetics
  Random Key chromosome is used for permutation representation.
RandomKey(List<Double>) - Constructor for class org.apache.commons.math3.genetics.RandomKey
  Constructor.
RandomKey(Double[]) - Constructor for class org.apache.commons.math3.genetics.RandomKey
  Constructor.
RandomKeyMutation - Class in org.apache.commons.math3.genetics
  Mutation operator for `RandomKey`s.
RandomKeyMutation() - Constructor for class org.apache.commons.math3.genetics.RandomKeyMutation
randomPermutation(int) - Static method in class org.apache.commons.math3.genetics.RandomKey
  Generates a representation corresponding to a random permutation of length l which can be passed to the RandomKey constructor.
randomStart - Variable in class org.apache.commons.math3.genetics.CycleCrossover
  If the start index shall be chosen randomly.
RandomVectorGenerator - Interface in org.apache.commons.math3.random
  This interface represents a random generator for whole vectors.
rank - Variable in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
  Rank of the symmetric positive semidefinite matrix.
rank - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Rank of the jacobian matrix.
rank - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Rank of the jacobian matrix.
rank(double[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
  Rank `data` using the natural ordering on Doubles, with NaN values handled according to `nanStrategy` and ties resolved using `tiesStrategy.`
rank(double[]) - Method in interface org.apache.commons.math3.stat.ranking.RankingAlgorithm
  Performs a rank transformation on the input data, returning an array of ranks.
rank - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
  rank of the solution
rankCorrelation - Variable in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Rank correlation
rankingAlgorithm - Variable in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Ranking algorithm
RankingAlgorithm - Interface in org.apache.commons.math3.stat.ranking
  Interface representing a rank transformation.
rankTransform(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Applies rank transform to each of the columns of `matrix` using the current `rankingAlgorithm`
ratio - Variable in class org.apache.commons.math3.genetics.UniformCrossover
  The mixing ratio.
rDiag - Variable in class org.apache.commons.math3.linear.QRDecomposition
  The diagonal elements of R.
rDiag - Variable in class org.apache.commons.math3.linear.QRDecomposition.Solver
  The diagonal elements of R.
readBaseExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Read the base state of the instance.
readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
readObject(ObjectInputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Deserialize this object from the given stream.
readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
  Deserialize the instance.
readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
  Deserialize the instance.
readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Deserialize the instance.
readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Deserialize the instance.
readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
  Deserialize the instance.
readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Deserialize the instance.
readObject(ObjectInputStream) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Read a serialized object.
readObject(ObjectInputStream) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Read a serialized object.
readResolve() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
  Replace the deserialized data transfer object with a `DerivativeStructure`.
readResolve() - Method in class org.apache.commons.math3.complex.Complex
  Resolve the transient fields in a deserialized Complex Object.
readResolve() - Method in class org.apache.commons.math3.complex.ComplexField
  Handle deserialization of the singleton.
readResolve() - Method in class org.apache.commons.math3.fraction.BigFractionField
  Handle deserialization of the singleton.
readResolve() - Method in class org.apache.commons.math3.fraction.FractionField
  Handle deserialization of the singleton.
readResolve() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
  Handle deserialization of the singleton.
readResolve() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
  Handle deserialization of the singleton.
readResolve() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
  Handle deserialization of the singleton.
readResolve() - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
  Handle deserialization of the singleton.
readResolve() - Method in class org.apache.commons.math3.optim.PointValuePair.DataTransferObject
  Replace the deserialized data transfer object with a `PointValuePair`.
readResolve() - Method in class org.apache.commons.math3.optim.PointVectorValuePair.DataTransferObject
  Replace the deserialized data transfer object with a `PointValuePair`.
readResolve() - Method in class org.apache.commons.math3.optimization.PointValuePair.DataTransferObject
  Deprecated.
  Replace the deserialized data transfer object with a `PointValuePair`.
readResolve() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair.DataTransferObject
  Deprecated.
  Replace the deserialized data transfer object with a `PointValuePair`.
readResolve() - Method in class org.apache.commons.math3.util.BigRealField
  Handle deserialization of the singleton.
real - Variable in class org.apache.commons.math3.complex.Complex
  The real part.
RealDistribution - Interface in org.apache.commons.math3.distribution
  Base interface for distributions on the reals.
realEigenvalues - Variable in class org.apache.commons.math3.linear.EigenDecomposition
  Real part of the realEigenvalues.
realEigenvalues - Variable in class org.apache.commons.math3.linear.EigenDecomposition.Solver
  Real part of the realEigenvalues.
realFormat - Variable in class org.apache.commons.math3.complex.ComplexFormat
  The format used for the real part.
RealLinearOperator - Class in org.apache.commons.math3.linear
  This class defines a linear operator operating on real (`double`) vector spaces.
RealLinearOperator() - Constructor for class org.apache.commons.math3.linear.RealLinearOperator
RealMatrix - Interface in org.apache.commons.math3.linear
  Interface defining a real-valued matrix with basic algebraic operations.
RealMatrixChangingVisitor - Interface in org.apache.commons.math3.linear
  Interface defining a visitor for matrix entries.
RealMatrixFormat - Class in org.apache.commons.math3.linear
  Formats a `nxm` matrix in components list format "{{a00,a01, ..., a0m-1},{a10, a11, ..., a1m-1},{...},{ an-10, an-11, ..., an-1m-1}}".
RealMatrixFormat() - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
  Create an instance with default settings.
RealMatrixFormat(NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
  Create an instance with a custom number format for components.
RealMatrixFormat(String, String, String, String, String, String) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
  Create an instance with custom prefix, suffix and separator.
RealMatrixFormat(String, String, String, String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
  Create an instance with custom prefix, suffix, separator and format for components.
RealMatrixPreservingVisitor - Interface in org.apache.commons.math3.linear
  Interface defining a visitor for matrix entries.
RealTransformer - Interface in org.apache.commons.math3.transform
  Interface for one-dimensional data sets transformations producing real results.
RealVector - Class in org.apache.commons.math3.linear
  Class defining a real-valued vector with basic algebraic operations.
RealVector() - Constructor for class org.apache.commons.math3.linear.RealVector
RealVector.Entry - Class in org.apache.commons.math3.linear
  An entry in the vector.
RealVector.Entry() - Constructor for class org.apache.commons.math3.linear.RealVector.Entry
  Simple constructor.
RealVector.SparseEntryIterator - Class in org.apache.commons.math3.linear
  Deprecated.
  As of 3.1, this class is deprecated, see JIRA MATH-875. This class will be completely removed in 4.0.
RealVector.SparseEntryIterator() - Constructor for class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
  Deprecated.
  Simple constructor.
RealVectorChangingVisitor - Interface in org.apache.commons.math3.linear
  This interface defines a visitor for the entries of a vector.
RealVectorFormat - Class in org.apache.commons.math3.linear
  Formats a vector in components list format "{v0; v1; ...; vk-1}".
RealVectorFormat() - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
  Create an instance with default settings.
RealVectorFormat(NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
  Create an instance with a custom number format for components.
RealVectorFormat(String, String, String) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
  Create an instance with custom prefix, suffix and separator.
RealVectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
  Create an instance with custom prefix, suffix, separator and format for components.
RealVectorPreservingVisitor - Interface in org.apache.commons.math3.linear
  This interface defines a visitor for the entries of a vector.
rebalanceLeftGrown() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Re-balance the instance as left sub-tree has grown.
rebalanceLeftShrunk() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Re-balance the instance as left sub-tree has shrunk.
rebalanceRightGrown() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Re-balance the instance as right sub-tree has grown.
rebalanceRightShrunk() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Re-balance the instance as right sub-tree has shrunk.
RECIP_2PI - Static variable in class org.apache.commons.math3.util.FastMath
  Bits of 1/(2*pi), need for reducePayneHanek().
reciprocal() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Returns the multiplicative inverse of `this` element.
reciprocal() - Method in class org.apache.commons.math3.complex.Complex
  Returns the multiplicative inverse of `this` element.
reciprocal() - Method in class org.apache.commons.math3.dfp.Dfp
  Returns the multiplicative inverse of `this` element.
reciprocal() - Method in interface org.apache.commons.math3.FieldElement
  Returns the multiplicative inverse of `this` element.
reciprocal() - Method in class org.apache.commons.math3.fraction.BigFraction
  Return the multiplicative inverse of this fraction.
reciprocal() - Method in class org.apache.commons.math3.fraction.Fraction
  Return the multiplicative inverse of this fraction.
reciprocal() - Method in class org.apache.commons.math3.util.BigReal
  Returns the multiplicative inverse of `this` element.
reciprocal() - Method in class org.apache.commons.math3.util.Decimal64
  Returns the multiplicative inverse of `this` element.
recodeNaNs(NaturalRanking.IntDoublePair[], double) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
  Recodes NaN values to the given value.
RECOMPUTE_TABLES_AT_RUNTIME - Static variable in class org.apache.commons.math3.util.FastMath
  Indicator for tables initialization.
recomputeZ() - Method in class org.apache.commons.math3.distribution.BetaDistribution
  Recompute the normalization factor.
RectangularCholeskyDecomposition - Class in org.apache.commons.math3.linear
  Calculates the rectangular Cholesky decomposition of a matrix.
RectangularCholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
  Decompose a symmetric positive semidefinite matrix.
RectangularCholeskyDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
  Decompose a symmetric positive semidefinite matrix.
recurseComplement(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Recursively build the complement of a BSP tree.
recurseFirstIntersection(BSPTree<Euclidean3D>, Vector3D, Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Get the first sub-hyperplane crossed by a semi-infinite line.
recurseIntersection(BSPTree<S>, SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Recursively compute the parts of a sub-hyperplane that are contained in the region.
recurseList(BSPTree<Euclidean1D>, List<Interval>, double, double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
  Update an intervals list.
recurseSides(BSPTree<S>, SubHyperplane<S>, AbstractRegion.Sides) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Search recursively for inside leaf nodes on each side of the given hyperplane.
recurseTransform(BSPTree<S>, Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Recursively transform an inside/outside BSP-tree.
recurseTransform(BSPTree<T>, Hyperplane<S>, Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Recursively transform a BSP-tree from a sub-hyperplane.
reduce() - Method in class org.apache.commons.math3.fraction.BigFraction
  Reduce this `BigFraction` to its lowest terms.
reduce(double, double, double) - Static method in class org.apache.commons.math3.util.MathUtils
  Reduce `|a - offset|` to the primary interval `[0, |period|)`.
reducePayneHanek(double, double[]) - Static method in class org.apache.commons.math3.util.FastMath
  Reduce the input argument using the Payne and Hanek method.
REDUCTION_FACTOR - Static variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Reduction factor for attempts to balance the bracketing interval.
referenceCount - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
  Reference modification count.
referenceCount - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
  Reference modification count.
referenceTime - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Reference time for all arrays.
refineSolution(RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ.State
  Move to the CG point if it seems better.
regcf(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  The regcf method conducts the linear regression and extracts the parameter vector.
Region<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
  This interface represents a region of a space as a partition.
Region.Location - Enum in org.apache.commons.math3.geometry.partitioning
  Enumerate for the location of a point with respect to the region.
Region.Location() - Constructor for enum org.apache.commons.math3.geometry.partitioning.Region.Location
RegionFactory<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
  This class is a factory for `Region`.
RegionFactory() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Simple constructor.
RegionFactory.DifferenceMerger - Class in org.apache.commons.math3.geometry.partitioning
  BSP tree leaf merger computing union of two regions.
RegionFactory.DifferenceMerger() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.DifferenceMerger
RegionFactory.IntersectionMerger - Class in org.apache.commons.math3.geometry.partitioning
  BSP tree leaf merger computing union of two regions.
RegionFactory.IntersectionMerger() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.IntersectionMerger
RegionFactory.NodesCleaner - Class in org.apache.commons.math3.geometry.partitioning
  Visitor removing internal nodes attributes.
RegionFactory.NodesCleaner() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.NodesCleaner
RegionFactory.UnionMerger - Class in org.apache.commons.math3.geometry.partitioning
  BSP tree leaf merger computing union of two regions.
RegionFactory.UnionMerger() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.UnionMerger
RegionFactory.XorMerger - Class in org.apache.commons.math3.geometry.partitioning
  BSP tree leaf merger computing union of two regions.
RegionFactory.XorMerger() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.XorMerger
registerVariationalEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Register the variational equations for the Jacobians matrices to the expandable set.
regress() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Conducts a regression on the data in the model, using all regressors.
regress(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Conducts a regression on the data in the model, using a subset of regressors.
regress(int[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Conducts a regression on the data in the model, using regressors in array Calling this method will change the internal order of the regressors and care is required in interpreting the hatmatrix.
regress() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Performs a regression on data present in buffers and outputs a RegressionResults object.
regress(int[]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
regress() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
  Performs a regression on data present in buffers and outputs a RegressionResults object
regress(int[]) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
  Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
RegressionResults - Class in org.apache.commons.math3.stat.regression
  Results of a Multiple Linear Regression model fit.
RegressionResults() - Constructor for class org.apache.commons.math3.stat.regression.RegressionResults
  Set the default constructor to private access to prevent inadvertent instantiation
RegressionResults(double[], double[][], boolean, long, int, double, double, double, boolean, boolean) - Constructor for class org.apache.commons.math3.stat.regression.RegressionResults
  Constructor for Regression Results.
RegulaFalsiSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements the Regula Falsi or False position method for root-finding (approximating a zero of a univariate real function).
RegulaFalsiSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
  Construct a solver with default accuracy (1e-6).
RegulaFalsiSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
  Construct a solver.
RegulaFalsiSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
  Construct a solver.
RegulaFalsiSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
  Construct a solver.
regularizedBeta(double, double, double) - Static method in class org.apache.commons.math3.special.Beta
  Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, double) - Static method in class org.apache.commons.math3.special.Beta
  Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
  Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
  Returns the regularized beta function I(x, a, b).
regularizedGammaP(double, double) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the regularized gamma function P(a, x).
regularizedGammaP(double, double, double, int) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the regularized gamma function P(a, x).
regularizedGammaQ(double, double) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
regularizedGammaQ(double, double, double, int) - Static method in class org.apache.commons.math3.special.Gamma
  Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
reinitialize(AbstractIntegrator, double[], double[][], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Reinitialize the instance
reinitialize(AbstractIntegrator, double[], double[][], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Reinitialize the instance
reinitialize(AbstractIntegrator, double[], double[][], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
  Reinitialize the instance
reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Reinitialize the instance
reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Reinitialize the instance.
reinitialize(double, double, double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Reinitialize the instance.
reinitializeBegin(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState
  Reinitialize the beginning of the step.
REL_TOL_UNUSED - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer.LineSearch
  Value that will pass the precondition check for `BrentOptimizer` but will not pass the convergence check, so that the custom checker will always decide when to stop the line search.
REL_TOL_UNUSED - Static variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer.LineSearch
  Deprecated.
  Value that will pass the precondition check for `BrentOptimizer` but will not pass the convergence check, so that the custom checker will always decide when to stop the line search.
relationship - Variable in class org.apache.commons.math3.optim.linear.LinearConstraint
  Relationship between left and right hand sides (=, <=, >=).
Relationship - Enum in org.apache.commons.math3.optim.linear
  Types of relationships between two cells in a Solver `LinearConstraint`.
Relationship(String) - Constructor for enum org.apache.commons.math3.optim.linear.Relationship
  Simple constructor.
relationship - Variable in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Relationship between left and right hand sides (=, <=, >=).
Relationship - Enum in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
Relationship(String) - Constructor for enum org.apache.commons.math3.optimization.linear.Relationship
  Deprecated.
  Simple constructor.
relativeAccuracy - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Maximum relative error.
relativeAccuracy - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Relative accuracy.
relativeAccuracy - Variable in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Relative accuracy.
relativeThreshold - Variable in class org.apache.commons.math3.optim.AbstractConvergenceChecker
  Relative tolerance threshold.
relativeThreshold - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
  Relative threshold.
relativeThreshold - Variable in class org.apache.commons.math3.optim.univariate.BrentOptimizer
  Relative threshold.
relativeThreshold - Variable in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
  Deprecated.
  Relative tolerance threshold.
relativeThreshold - Variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer
  Deprecated.
  Relative threshold.
relativeThreshold - Variable in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
  Deprecated.
  Relative threshold.
remainder(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  '%' operator.
remainder(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  '%' operator.
remainder(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Perform remainder of two derivative structures.
remainder(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Returns the IEEE remainder.
remainingRegion - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
  Remaining region of the hyperplane.
remainingRegion - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Remaining region of the hyperplane.
rememberMinusFound() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.Sides
  Remember the fact that inside leaf nodes have been found on the minus side.
rememberPlusFound() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.Sides
  Remember the fact that inside leaf nodes have been found on the plus side.
remove() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
  Deprecated.
remove() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
  Deprecated.
remove() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
remove(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Remove the value associated with a key.
remove(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Remove the value associated with a key.
REMOVED - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Status indicator for removed table entries.
REMOVED - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Status indicator for removed table entries.
removeData(double, double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Removes the observation (x,y) from the regression data set.
removeData(double[][]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
  Removes observations represented by the elements in `data`.
removeIterationListener(IterationListener) - Method in class org.apache.commons.math3.util.IterationManager
  Removes the specified iteration listener from the list of listeners currently attached to `this` object.
removeMostRecentValue() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Removes the most recent value from the dataset.
removeNaNs(NaturalRanking.IntDoublePair[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
  Returns an array that is a copy of the input array with IntDoublePairs having NaN values removed.
removeTransformer(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
  Removes a Class to Transformer Mapping in the Map.
reorderRegressors(int[], int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  ALGORITHM AS274 APPL.
repair(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
repair(double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
  Deprecated.
replaceMostRecentValue(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Replaces the most recently stored value with the given value.
replaceWorstPoint(PointValuePair, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Replace the worst point of the simplex by a new point.
replaceWorstPoint(PointValuePair, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Replace the worst point of the simplex by a new point.
REPLAY_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
  Replay data from valuesFilePath.
repmat(RealMatrix, int, int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
repmat(RealMatrix, int, int) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
REPORT_URL - Static variable in exception org.apache.commons.math3.exception.MathInternalError
  URL for reporting problems.
representableDelta(double, double) - Static method in class org.apache.commons.math3.util.Precision
  Computes a number `delta` close to `originalDelta` with the property that
representation - Variable in class org.apache.commons.math3.genetics.AbstractListChromosome
  List representing the chromosome
rescale(double[], double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Update scaling array.
rescale(double) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Rescale the instance.
reSeed(long) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Reseeds the random number generator used by `EmpiricalDistribution.getNextValue()`.
reSeed(long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Reseeds the random number generator with the supplied seed.
reSeed() - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Reseeds the random number generator with `System.currentTimeMillis() + System.identityHashCode(this))`.
reSeed(long) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Reseeds the random number generator with the supplied seed.
reSeed() - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Reseeds the random number generator with `System.currentTimeMillis() + System.identityHashCode(this))`.
reSeed(long) - Method in class org.apache.commons.math3.random.ValueServer
  Reseeds the random data generator.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  Reseed the random generator used to generate samples.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
  Reseeds the random generator used to generate samples.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Reseed the random generator used to generate samples.
reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Reseed the random generator used to generate samples.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
  Reseeds the random generator used to generate samples.
reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
  Reseeds the random generator used to generate samples.
reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Reseed the random generator used to generate samples.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Reseed the random generator used to generate samples.
reSeedSecure() - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Reseeds the secure random number generator with the current time in milliseconds.
reSeedSecure(long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Reseeds the secure random number generator with the supplied seed.
reSeedSecure() - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Reseeds the secure random number generator with the current time in milliseconds.
reSeedSecure(long) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Reseeds the secure random number generator with the supplied seed.
reset() - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
  Reset "illumination" and "sampleIndex".
reset(Vector3D, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Reset the instance as if built from two points.
reset(Vector3D, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Reset the instance as if built from a point and a normal.
reset(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Reset the instance from another one.
reset(Vector2D, Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Reset the instance as if built from two points.
reset(Vector2D, double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Reset the instance as if built from a line and an angle.
reset(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventState
  Let the event handler reset the state if it wants.
resetCount() - Method in class org.apache.commons.math3.util.Incrementor
  Resets the counter to 0.
resetInternalState() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Reset internal state to dummy values.
resetIterationCount() - Method in class org.apache.commons.math3.util.IterationManager
  Sets the iteration count to 0.
resetOccurred - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
  Indicator that a state or derivative reset was triggered by some event.
resetReplayFile() - Method in class org.apache.commons.math3.random.ValueServer
  Resets REPLAY_MODE file pointer to the beginning of the `valuesFileURL`.
resetState(double, double[]) - Method in interface org.apache.commons.math3.ode.events.EventHandler
  Reset the state prior to continue the integration.
resetTables(int) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  Reallocate the internal tables.
ResizableDoubleArray - Class in org.apache.commons.math3.util
  A variable length `DoubleArray` implementation that automatically handles expanding and contracting its internal storage array as elements are added and removed.
ResizableDoubleArray() - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Creates an instance with default properties.
ResizableDoubleArray(int) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Creates an instance with the specified initial capacity.
ResizableDoubleArray(double[]) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Creates an instance from an existing `double[]` with the initial capacity and numElements corresponding to the size of the supplied `double[]` array.
ResizableDoubleArray(int, float) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.ResizableDoubleArray(int,double)` instead.
ResizableDoubleArray(int, double) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Creates an instance with the specified initial capacity and expansion factor.
ResizableDoubleArray(int, float, float) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.ResizableDoubleArray(int,double,double)` instead.
ResizableDoubleArray(int, double, double) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Creates an instance with the specified initial capacity, expansion factor, and contraction criteria.
ResizableDoubleArray(int, float, float, int) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.ResizableDoubleArray(int,double,double,ExpansionMode,double[])` instead.
ResizableDoubleArray(int, double, double, ResizableDoubleArray.ExpansionMode, double...) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Creates an instance with the specified properties.
ResizableDoubleArray(ResizableDoubleArray) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
  Copy constructor.
ResizableDoubleArray.ExpansionMode - Enum in org.apache.commons.math3.util
  Specification of expansion algorithm.
ResizableDoubleArray.ExpansionMode() - Constructor for enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
RESIZE_MULTIPLIER - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Multiplier for size growth when map fills up.
RESIZE_MULTIPLIER - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Multiplier for size growth when map fills up.
resolveTie(double[], List<Integer>) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
  Resolve a sequence of ties, using the configured `TiesStrategy`.
resplit(double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
  Recompute a split.
restoreNaNs(double[], List<Integer>) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
  Set `ranks[i] = Double.NaN` for each i in `nanPositions.`
restrictToNonNegative - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
  Whether to restrict the variables to non-negative values.
restrictToNonNegative() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
restrictToNonNegative - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Whether to restrict the variables to non-negative values.
reunite(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Compute the union of the instance and another sub-hyperplane.
reunite(SubHyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
  Compute the union of the instance and another sub-hyperplane.
reverse(int[]) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
reverse(int[]) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Get a line with reversed direction.
revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Revert a rotation.
revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Revert the instance.
revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Revert the plane.
revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Revert the instance.
rho - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Reflection coefficient.
rho - Variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Reflection coefficient.
rhs - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  the elements of the R`Y
RiddersSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements the Ridders' Method for root finding of real univariate functions.
RiddersSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
  Construct a solver with default accuracy (1e-6).
RiddersSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
  Construct a solver.
RiddersSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
  Construct a solver.
right - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Right sub-tree.
rint() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
Rint - Class in org.apache.commons.math3.analysis.function
  `rint` function.
Rint() - Constructor for class org.apache.commons.math3.analysis.function.Rint
rint() - Method in class org.apache.commons.math3.dfp.Dfp
  Round to nearest integer using the round-half-even method.
rint(double) - Static method in class org.apache.commons.math3.util.FastMath
  Get the whole number that is the nearest to x, or the even one if x is exactly half way between two integers.
rMode - Variable in class org.apache.commons.math3.dfp.DfpField
  Current rounding mode.
rnorm - Variable in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  The current estimate of the norm of the residual.
rnorm - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of the updated, preconditioned residual P * r.
robustnessIters - Variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  The number of robustness iterations parameter: this many robustness iterations are done.
ROMBERG_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.RombergIntegrator
  Maximal number of iterations for Romberg.
RombergIntegrator - Class in org.apache.commons.math3.analysis.integration
  Implements the Romberg Algorithm for integration of real univariate functions.
RombergIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
  Build a Romberg integrator with given accuracies and iterations counts.
RombergIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
  Build a Romberg integrator with given iteration counts.
RombergIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
  Construct a Romberg integrator with default settings (max iteration count set to `RombergIntegrator.ROMBERG_MAX_ITERATIONS_COUNT`)
root - Variable in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
  Permutated Cholesky root of the symmetric positive semidefinite matrix.
root - Variable in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
  Root of the covariance matrix.
rootLogLikelihoodRatio(long, long, long, long) - Method in class org.apache.commons.math3.stat.inference.GTest
  Calculates the root log-likelihood ratio for 2 state Datasets.
rootLogLikelihoodRatio(long, long, long, long) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
rootN(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Nth root.
rootN(double[], int, int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute nth root of a derivative structure.
RootsOfUnity - Class in org.apache.commons.math3.complex
  A helper class for the computation and caching of the `n`-th roots of unity.
RootsOfUnity() - Constructor for class org.apache.commons.math3.complex.RootsOfUnity
  Build an engine for computing the `n`-th roots of unity.
rotate(Vector3D, Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Rotate the plane around the specified point.
rotate(Vector3D, Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Rotate the region around the specified point.
rotateCCW() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Perform a counter-clockwise rotation rooted at the instance.
rotateCW() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Perform a clockwise rotation rooted at the instance.
rotation - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
  Vectorial rotation.
Rotation - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class implements rotations in a three-dimensional space.
Rotation(double, double, double, double, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Build a rotation from the quaternion coordinates.
Rotation(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Build a rotation from an axis and an angle.
Rotation(double[][], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Build a rotation from a 3X3 matrix.
Rotation(Vector3D, Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Build the rotation that transforms a pair of vector into another pair.
Rotation(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Build one of the rotations that transform one vector into another one.
Rotation(RotationOrder, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Build a rotation from three Cardan or Euler elementary rotations.
RotationOrder - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class is a utility representing a rotation order specification for Cardan or Euler angles specification.
RotationOrder(String, Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Private constructor.
round() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Get the closest long to instance value.
round(int) - Method in class org.apache.commons.math3.dfp.Dfp
  Round this given the next digit n using the current rounding mode.
round(int) - Method in class org.apache.commons.math3.dfp.DfpDec
  Round this given the next digit n using the current rounding mode.
round(double) - Static method in class org.apache.commons.math3.util.FastMath
  Get the closest long to x.
round(float) - Static method in class org.apache.commons.math3.util.FastMath
  Get the closest int to x.
round(double, int) - Static method in class org.apache.commons.math3.util.Precision
  Rounds the given value to the specified number of decimal places.
round(double, int, int) - Static method in class org.apache.commons.math3.util.Precision
  Rounds the given value to the specified number of decimal places.
round(float, int) - Static method in class org.apache.commons.math3.util.Precision
  Rounds the given value to the specified number of decimal places.
round(float, int, int) - Static method in class org.apache.commons.math3.util.Precision
  Rounds the given value to the specified number of decimal places.
roundedK(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
  Calculates `P(D_n < d)` using method described in [1] and doubles (see above).
roundingMode - Variable in class org.apache.commons.math3.util.BigReal
  Rounding mode for divisions.
roundUnscaled(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
  Rounds the given non-negative value to the "nearest" integer.
row - Variable in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
  Row.
rowPrefix - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
  Row prefix.
rows - Variable in class org.apache.commons.math3.linear.BlockFieldMatrix
  Number of rows of the matrix.
rows - Variable in class org.apache.commons.math3.linear.BlockRealMatrix
  Number of rows of the matrix.
rows - Variable in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Number of rows of the matrix.
rows - Variable in class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Row dimension.
rows - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1.
rowSeparator - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
  Row separator.
rowSuffix - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
  Row suffix.
rsl - Variable in class org.apache.commons.math3.random.ISAACRandom
  The results given to the user
RSQ_IDX - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
  INDEX of R-Squared of regression
rss - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  residual sum of squares for all nested regressions
rss_set - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  has rss been called?
RungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations.
RungeKuttaIntegrator(String, double[], double[][], double[], RungeKuttaStepInterpolator, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
  Simple constructor.
RungeKuttaStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
  This class represents an interpolator over the last step during an ODE integration for Runge-Kutta and embedded Runge-Kutta integrators.
RungeKuttaStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
  Simple constructor.
RungeKuttaStepInterpolator(RungeKuttaStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
  Copy constructor.

## S

s - Variable in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
  Intermediate result.
S_LIMIT - Static variable in class org.apache.commons.math3.special.Gamma
  S limit.
SaddlePointExpansion - Class in org.apache.commons.math3.distribution
  Utility class used by various distributions to accurately compute their respective probability mass functions.
SaddlePointExpansion() - Constructor for class org.apache.commons.math3.distribution.SaddlePointExpansion
  Default constructor.
SAFE_MIN - Static variable in class org.apache.commons.math3.util.Precision
  Safe minimum, such that `1 / SAFE_MIN` does not overflow.
safeNorm(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
  Returns the Cartesian norm (2-norm), handling both overflow and underflow.
safety - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
  Safety factor for stepsize control.
safety - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Safety factor for stepsize control.
sameOrientationAs(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Check if the instance has the same orientation as another hyperplane.
sameOrientationAs(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Check if the instance has the same orientation as another hyperplane.
sameOrientationAs(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Check if the instance has the same orientation as another hyperplane.
sameOrientationAs(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
  Check if the instance has the same orientation as another hyperplane.
sample(UnivariateFunction, double, double, int) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Samples the specified univariate real function on the specified interval.
sample() - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
  Get the sample illuminating the element the most.
sample() - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  Generate a random value sampled from this distribution.
sample(int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  Generate a random sample from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
  Generates a random value vector sampled from this distribution.
sample(int) - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
  Generates a list of a random value vectors from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Generate a random value sampled from this distribution.
sample(int) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Generate a random sample from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
  Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.GammaDistribution
  This implementation uses the following algorithms:
sample() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Generate a random value sampled from this distribution.
sample(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
  Generate a random sample from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
  Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
  Generates a random value vector sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Generates a random value vector sampled from this distribution.
sample() - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
  Generates a random value vector sampled from this distribution.
sample(int) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
  Generates a list of a random value vectors from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.NormalDistribution
  Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
  Generate a random value sampled from this distribution.
sample() - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Generate a random value sampled from this distribution.
sample(int) - Method in interface org.apache.commons.math3.distribution.RealDistribution
  Generate a random sample from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
  Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
  Generate a random value sampled from this distribution.
samples - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
  Sample data.
sampleSize - Variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
  The sample size.
sampleStats - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
  Sample statistics
samplingMatrix - Variable in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
  Matrix used in computation of samples.
sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Check the integration span.
sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Check the integration span.
scalAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Allowed absolute scalar error.
scalarAdd(T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Increment each entry of this matrix.
scalarAdd(double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the result of adding `d` to each entry of `this`.
scalarAdd(T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Increment each entry of this matrix.
scalarAdd(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the result of adding `d` to each entry of `this`.
scalarAdd(T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Increment each entry of this matrix.
scalarAdd(double) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the result of adding `d` to each entry of `this`.
scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Multiply the instance by a scalar.
scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Multiply the instance by a scalar.
scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Multiply the instance by a scalar.
scalarMultiply(double) - Method in interface org.apache.commons.math3.geometry.Vector
  Multiply the instance by a scalar.
scalarMultiply(T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Multiply each entry by `d`.
scalarMultiply(double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the result of multiplying each entry of `this` by `d`.
scalarMultiply(T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Multiply each entry by `d`.
scalarMultiply(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the result of multiplying each entry of `this` by `d`.
scalarMultiply(T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Multiply each entry by `d`.
scalarMultiply(double) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the result of multiplying each entry of `this` by `d`.
scalb(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Multiply the instance by a power of 2.
scalb(double, int) - Static method in class org.apache.commons.math3.util.FastMath
  Multiply a double number by a power of 2.
scalb(float, int) - Static method in class org.apache.commons.math3.util.FastMath
  Multiply a float number by a power of 2.
scale - Variable in class org.apache.commons.math3.distribution.CauchyDistribution
  The scale of this distribution.
scale - Variable in class org.apache.commons.math3.distribution.GammaDistribution
  The scale parameter.
scale - Variable in class org.apache.commons.math3.distribution.LogNormalDistribution
  The scale parameter of this distribution.
scale - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
  The scale parameter.
scale - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
  Optional scaling matrix (weight and correlations) for the residuals.
scale - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
  Penalty scales.
scale - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
  Deprecated.
  Penalty scales.
scale - Variable in class org.apache.commons.math3.optimization.LeastSquaresConverter
  Deprecated.
  Optional scaling matrix (weight and correlations) for the residuals.
scale - Variable in class org.apache.commons.math3.util.BigReal
  BigDecimal scale
scaleArray(double[], double) - Static method in class org.apache.commons.math3.transform.TransformUtils
  Multiply every component in the given real array by the given real number.
scaleArray(Complex[], double) - Static method in class org.apache.commons.math3.transform.TransformUtils
  Multiply every component in the given complex array by the given real number.
scaled - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
  First scaled derivative (h y').
scaled - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
  Current scaled first derivative.
scaled - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  First scaled derivative.
scalingH - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Step size used in the first scaled derivative and Nordsieck vector.
scalRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Allowed relative scalar error.
SchurTransformer - Class in org.apache.commons.math3.linear
  Class transforming a general real matrix to Schur form.
SchurTransformer(RealMatrix) - Constructor for class org.apache.commons.math3.linear.SchurTransformer
  Build the transformation to Schur form of a general real matrix.
SchurTransformer.ShiftInfo - Class in org.apache.commons.math3.linear
  Internal data structure holding the current shift information.
SchurTransformer.ShiftInfo() - Constructor for class org.apache.commons.math3.linear.SchurTransformer.ShiftInfo
search(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer.LineSearch
  Find the minimum of the function `f(p + alpha * d)`.
search(UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
  Search new points that bracket a local optimum of the function.
search(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.PowellOptimizer.LineSearch
  Deprecated.
  Find the minimum of the function `f(p + alpha * d)`.
search(UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
  Deprecated.
  Search new points that bracket a local optimum of the function.
searchDirection - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.LineSearchFunction
  Search direction.
searchDirection - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.LineSearchFunction
  Deprecated.
  Search direction.
searchForFitnessUpdate(Population) - Method in class org.apache.commons.math3.genetics.Chromosome
  Searches the population for a chromosome representing the same solution, and if it finds one, updates the fitness to its value.
searchIndex(double, double[]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
searchIndex(double, double[]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
SearchInterval - Class in org.apache.commons.math3.optim.univariate
  Search interval and (optional) start value.
SearchInterval(double, double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SearchInterval
SearchInterval(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SearchInterval
searchIntervalIndex - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Location in `MultiStartUnivariateOptimizer.optimData` where the updated start value will be stored.
searchMax - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Higher end of search interval.
searchMax - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Higher end of search interval.
searchMin - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Lower end of search interval.
searchMin - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Lower end of search interval.
searchStart - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Initial guess.
searchStart - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
  Deprecated.
  Initial guess .
SecantSolver - Class in org.apache.commons.math3.analysis.solvers
  Implements the Secant method for root-finding (approximating a zero of a univariate real function).
SecantSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
  Construct a solver with default accuracy (1e-6).
SecantSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
  Construct a solver.
SecantSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
  Construct a solver.
second - Variable in class org.apache.commons.math3.genetics.ChromosomePair
  the second chromosome in the pair.
secondary - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
  Secondary diagonal.
secondary - Variable in class org.apache.commons.math3.linear.EigenDecomposition
  Secondary diagonal of the tridiagonal matrix.
secondary - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
  Secondary diagonal.
SecondaryEquations - Interface in org.apache.commons.math3.ode
  This interface allows users to add secondary differential equations to a primary set of differential equations.
secondaryMappers - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Equations mappers for the secondary equations sets.
SecondMoment - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes a statistic related to the Second Central Moment.
SecondMoment() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  Create a SecondMoment instance
SecondMoment(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  Copy constructor, creates a new `SecondMoment` identical to the `original`
secondMoment - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  SecondMoment is used to compute the mean and variance
SecondOrderDifferentialEquations - Interface in org.apache.commons.math3.ode
  This interface represents a second order differential equations set.
SecondOrderIntegrator - Interface in org.apache.commons.math3.ode
  This interface represents a second order integrator for differential equations.
secRand - Variable in class org.apache.commons.math3.random.RandomDataGenerator
  underlying secure random number generator
Segment - Class in org.apache.commons.math3.geometry.euclidean.threed
  Simple container for a two-points segment.
Segment(Vector3D, Vector3D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Segment
  Build a segment.
Segment - Class in org.apache.commons.math3.geometry.euclidean.twod
  Simple container for a two-points segment.
Segment(Vector2D, Vector2D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Segment
  Build a segment.
select(Population) - Method in interface org.apache.commons.math3.genetics.SelectionPolicy
  Select two chromosomes from the population.
select(Population) - Method in class org.apache.commons.math3.genetics.TournamentSelection
  Select two chromosomes from the population.
select(double[], int[], int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Select the kth smallest element from work array
selectColumns(RealMatrix, int[]) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
selectColumns(RealMatrix, int[]) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
selectedParameters - Variable in class org.apache.commons.math3.ode.JacobianMatrices
  Selected parameters for parameter Jacobian computation.
selectionPolicy - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
  the selection policy used by the algorithm.
SelectionPolicy - Interface in org.apache.commons.math3.genetics
  Algorithm used to select a chromosome pair from a population.
SemiVariance - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes the semivariance of a set of values with respect to a given cutoff value.
SemiVariance() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Constructs a SemiVariance with default (true) `biasCorrected` property and default (Downside) `varianceDirection` property.
SemiVariance(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Constructs a SemiVariance with the specified `biasCorrected` property and default (Downside) `varianceDirection` property.
SemiVariance(SemiVariance.Direction) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Constructs a SemiVariance with the specified `Direction` property and default (true) `biasCorrected` property
SemiVariance(boolean, SemiVariance.Direction) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Constructs a SemiVariance with the specified `isBiasCorrected` property and the specified `Direction` property.
SemiVariance(SemiVariance) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Copy constructor, creates a new `SemiVariance` identical to the `original`
SemiVariance.Direction - Enum in org.apache.commons.math3.stat.descriptive.moment
  The direction of the semivariance - either upside or downside.
SemiVariance.Direction(boolean) - Constructor for enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
  Create a Direction with the given value.
separator - Variable in class org.apache.commons.math3.geometry.VectorFormat
  Separator.
separator - Variable in class org.apache.commons.math3.linear.RealVectorFormat
  Separator.
sequence - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  step size sequence.
sequence(double, double, double) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
sequence(double, double, double) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
serializeContext(ObjectOutputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Serialize `ExceptionContext.context`.
serializeMessages(ObjectOutputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Serialize `ExceptionContext.msgPatterns` and `ExceptionContext.msgArguments`.
serializeRealMatrix(RealMatrix, ObjectOutputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Serialize a `RealMatrix`.
serializeRealVector(RealVector, ObjectOutputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Serialize a `RealVector`.
serialVersionUID - Static variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
  Serializable UID.
serialVersionUID - Static variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Serializable UID.
serialVersionUID - Static variable in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Serializable UID.
serialVersionUID - Static variable in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
  serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator
  serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Serialization identifier
serialVersionUID - Static variable in class org.apache.commons.math3.complex.Complex
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.complex.ComplexField
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.complex.Quaternion
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.complex.RootsOfUnity
  Serializable version id.
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.BetaDistribution
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.BinomialDistribution
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.CauchyDistribution
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.ExponentialDistribution
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.FDistribution
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.GammaDistribution
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.LogNormalDistribution
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.NormalDistribution
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.PascalDistribution
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.PoissonDistribution
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.TDistribution
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.TriangularDistribution
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.UniformRealDistribution
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.WeibullDistribution
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.distribution.ZipfDistribution
  Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.ConvergenceException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.DimensionMismatchException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathArithmeticException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathIllegalArgumentException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathIllegalNumberException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathIllegalStateException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathInternalError
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathParseException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathRuntimeException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MaxCountExceededException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NoBracketingException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NoDataException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NotANumberException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NotFiniteNumberException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NotPositiveException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NotStrictlyPositiveException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NullArgumentException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NumberIsTooLargeException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.NumberIsTooSmallException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.OutOfRangeException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.TooManyEvaluationsException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.TooManyIterationsException
  Serializable version Id.
serialVersionUID - Static variable in class org.apache.commons.math3.exception.util.DummyLocalizable
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.exception.util.ExceptionContext
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.exception.ZeroException
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.fitting.WeightedObservedPoint
  Serializable version id.
serialVersionUID - Static variable in class org.apache.commons.math3.fraction.AbstractFormat
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.fraction.BigFraction
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.fraction.BigFractionField
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.fraction.BigFractionFormat
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.fraction.Fraction
  Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math3.fraction.FractionConversionException
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.fraction.FractionField
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.fraction.FractionFormat
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.fraction.ProperBigFractionFormat
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.fraction.ProperFractionFormat
  Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math3.genetics.InvalidRepresentationException
  Serialization version id
serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Serializable UID.
serialVersionUID - Static variable in exception org.apache.commons.math3.geometry.euclidean.threed.CardanEulerSingularityException
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
  Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math3.geometry.euclidean.threed.NotARotationMatrixException
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Serializable UID.
serialVersionUID - Static variable in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.linear.ArrayFieldVector
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.linear.ArrayRealVector
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.linear.BlockFieldMatrix
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.linear.BlockRealMatrix
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
serialVersionUID - Static variable in exception org.apache.commons.math3.linear.IllConditionedOperatorException
  Serializable version Id.
serialVersionUID - Static variable in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
  Serialization identifier.
serialVersionUID - Static variable in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.linear.NonPositiveDefiniteOperatorException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.linear.NonSelfAdjointOperatorException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.linear.NonSquareMatrixException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.linear.NonSquareOperatorException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
  Serializable version Id.
serialVersionUID - Static variable in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math3.linear.SingularMatrixException
  Serializable version Id.
serialVersionUID - Static variable in exception org.apache.commons.math3.linear.SingularOperatorException
  Serializable version Id.
serialVersionUID - Static variable in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Serialization identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.ode.ContinuousOutputModel
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.ode.EquationsMapper
  Serializable UID.
serialVersionUID - Static variable in exception org.apache.commons.math3.ode.events.EventState.LocalMaxCountExceededException
  Serializable UID.
serialVersionUID - Static variable in exception org.apache.commons.math3.ode.JacobianMatrices.MismatchedEquations
  Serializable UID.
serialVersionUID - Static variable in exception org.apache.commons.math3.ode.MultistepIntegrator.InitializationCompletedMarkerException
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.EulerStepInterpolator
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54StepInterpolator
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.MidpointStepInterpolator
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesStepInterpolator
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.ode.ParameterConfiguration
  Serializable UID.
serialVersionUID - Static variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math3.ode.UnknownParameterException
  Serializable version Id.
serialVersionUID - Static variable in class org.apache.commons.math3.optim.linear.LinearConstraint
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
  Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math3.optim.linear.NoFeasibleSolutionException
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.optim.linear.SimplexTableau
  Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math3.optim.linear.UnboundedSolutionException
  Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer.PathIsExploredException
serialVersionUID - Static variable in class org.apache.commons.math3.optim.PointValuePair.DataTransferObject
  Serializable UID.
serialVersionUID - Static variable in class org.apache.commons.math3.optim.PointValuePair
  Serializable UID.
serialVersionUID - Static variable in class org.apache.commons.math3.optim.PointVectorValuePair.DataTransferObject
  Serializable UID.
serialVersionUID - Static variable in class org.apache.commons.math3.optim.PointVectorValuePair
  Serializable UID.
serialVersionUID - Static variable in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
  Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math3.optimization.direct.BOBYQAOptimizer.PathIsExploredException
  Deprecated.
serialVersionUID - Static variable in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
  Deprecated.
  Serializable version id.
serialVersionUID - Static variable in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
  Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math3.optimization.linear.NoFeasibleSolutionException
  Deprecated.
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math3.optimization.linear.UnboundedSolutionException
  Deprecated.
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.optimization.PointValuePair.DataTransferObject
  Deprecated.
  Serializable UID.
serialVersionUID - Static variable in class org.apache.commons.math3.optimization.PointValuePair
  Deprecated.
  Serializable UID.
serialVersionUID - Static variable in class org.apache.commons.math3.optimization.PointVectorValuePair.DataTransferObject
  Deprecated.
  Serializable UID.
serialVersionUID - Static variable in class org.apache.commons.math3.optimization.PointVectorValuePair
  Deprecated.
  Serializable UID.
serialVersionUID - Static variable in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
  Deprecated.
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.random.AbstractWell
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.random.EmpiricalDistribution
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.random.ISAACRandom
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.random.JDKRandomGenerator
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.random.MersenneTwister
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.random.RandomAdaptor
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.random.RandomDataGenerator
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.random.Well1024a
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.random.Well19937a
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.random.Well19937c
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.random.Well44497a
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.random.Well44497b
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.random.Well512a
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.stat.clustering.Cluster
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
  The serialization version of this class
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Serialization UID
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.Mean
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Serialization UID
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Max
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Median
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Min
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
  Serialization id
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.summary.Product
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.summary.Sum
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Serialization UID
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Serialization UID
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Serialization UID
serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Serialization UID
serialVersionUID - Static variable in class org.apache.commons.math3.stat.Frequency.NaturalComparator
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.stat.Frequency
  Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math3.stat.regression.ModelSpecificationException
  Serializable version Id.
serialVersionUID - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
  UID
serialVersionUID - Static variable in class org.apache.commons.math3.stat.regression.SimpleRegression
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.transform.FastCosineTransformer
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.transform.FastFourierTransformer
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.transform.FastHadamardTransformer
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.transform.FastSineTransformer
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.util.BigReal
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.util.BigRealField
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.util.Decimal64
serialVersionUID - Static variable in class org.apache.commons.math3.util.DefaultTransformer
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.util.IterationEvent
serialVersionUID - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
  Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math3.util.TransformerMap
  Serializable version identifier
set(int, ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Set a set of consecutive elements.
set(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Set all elements to a single value.
set(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Set all elements to a single value.
set(T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Set all elements to a single value.
set(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Set all elements to a single value.
set(double) - Method in class org.apache.commons.math3.linear.RealVector
  Set all elements to a single value.
set(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Set all elements to a single value.
set(Complex, int...) - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
  Deprecated.
  Set a matrix element.
SET_QUANTILE_METHOD_NAME - Static variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Name of the setQuantile method.
setAngle(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Set the angle of the line.
setArity(int) - Method in class org.apache.commons.math3.genetics.TournamentSelection
  Sets the arity (number of chromosomes drawn to the tournament).
setAttribute(Object) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Associate an attribute with the instance.
setBarycenter(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Set the barycenter of the instance.
setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Sets the biasCorrected property.
setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
setChromosomes(List<Chromosome>) - Method in class org.apache.commons.math3.genetics.ListPopulation
  Deprecated.
  use `ListPopulation.addChromosomes(Collection)` instead
setClockWise(boolean) - Method in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
  Set the loop orientation.
setColumn(int, T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Set the entries in column number `column` as a column matrix.
setColumn(int, double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified `array`.
setColumn(int, T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Set the entries in column number `column` as a column matrix.
setColumn(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified `array`.
setColumn(int, T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Set the entries in column number `column` as a column matrix.
setColumn(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified `array`.
setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Set the entries in column number `column` as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified column `matrix`.
setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Set the entries in column number `column` as a column matrix.
setColumnMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Sets the entries in column number `column` as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified column `matrix`.
setColumnMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Sets the entries in column number `column` as a column matrix.
setColumnMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Set the entries in column number `column` as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified column `matrix`.
setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Set the entries in column number `column` as a vector.
setColumnVector(int, RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified `vector`.
setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Set the entries in column number `column` as a vector.
setColumnVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified `vector`.
setColumnVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Set the entries in column number `column` as a vector.
setColumnVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Sets the specified `column` of `this` matrix to the entries of the specified `vector`.
setCompleteState(double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Set the complete current state.
setContractionCriteria(float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1 (to be removed in 4.0 as field will become "final").
setControlFactors(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Set the step size control factors.
setCost(double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Sets the cost.
setCost(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Sets the cost.
setData(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Set the data array.
setData(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Set the data array.
setData(double[]) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Set the data array.
setData(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Set the data array.
setDenominatorFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.AbstractFormat
  Modify the denominator format.
setElement(int, int, StorelessBivariateCovariance) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Sets the covariance element at index (i, j) in the covariance matrix
setElement(int, double) - Method in interface org.apache.commons.math3.util.DoubleArray
  Sets the element at the specified index.
setElement(int, double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Sets the element at the specified index.
setElitismRate(double) - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
  Sets the elitism rate, i.e.
setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Set the entry in the specified row and column.
setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Set the entry in the specified row and column.
setEntry(int, T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Set a single element.
setEntry(int, double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Set a single element.
setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Set the entry in the specified row and column.
setEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Set the entry in the specified row and column.
setEntry(int, T) - Method in interface org.apache.commons.math3.linear.FieldVector
  Set a single element.
setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Set the entry in the specified row and column.
setEntry(int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Set a single element.
setEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Set the entry in the specified row and column.
setEntry(int, double) - Method in class org.apache.commons.math3.linear.RealVector
  Set a single element.
setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Set the entry in the specified row and column.
setEntry(int, T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Set a single element.
setEntry(int, int, double) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Set an entry of the tableau.
setEntry(int, int, double) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Set an entry of the tableau.
setEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Set the equations.
setExpansionFactor(float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1 (to be removed in 4.0 as field will become "final").
setExpansionMode(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1. Please use `ResizableDoubleArray.setExpansionMode(ExpansionMode)` instead.
setExpansionMode(ResizableDoubleArray.ExpansionMode) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1 (to be removed in 4.0 as field will become "final").
setFrame() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Reset the plane frame.
setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the geometric mean.
setGeometricMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the gemoetric mean.
setHP(double) - Method in class org.apache.commons.math3.ode.ParameterConfiguration
  Set parameter step.
setIEEEFlags(int) - Method in class org.apache.commons.math3.dfp.DfpField
  Sets the IEEE 854 status flags.
setIEEEFlagsBits(int) - Method in class org.apache.commons.math3.dfp.DfpField
  Sets some bits in the IEEE 854 status flags, without changing the already set bits.
setImpl(StorelessUnivariateStatistic[], StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sets statistics implementations.
setIncoming(PolygonsSet.Edge) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
  Set incoming edge.
setIndex(int) - Method in class org.apache.commons.math3.linear.RealVector.Entry
  Set the index of the entry.
setInitialCapacity(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1, this is a no-op.
setInitialMainStateJacobian(double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Set the initial value of the Jacobian matrix with respect to state.
setInitialParameterJacobian(String, double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Set the initial value of a column of the Jacobian matrix with respect to one parameter.
setInitialStep(double) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  Set the initial step used to bracket the optimum in line search.
setInitialStepSize(double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Set the initial step size.
setInterpolatedTime(double) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
  Set the time of the interpolated point.
setInterpolatedTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Set the time of the interpolated point.
setInterpolatedTime(double) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
  Set the time of the interpolated point.
setInterpolationControl(boolean, int) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Set the interpolation order control parameter.
setKurtosisImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the kurtosis.
setMaxEvaluations(int) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Set the maximal number of differential equations function evaluations.
setMaxEvaluations(int) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
  Set the maximal number of differential equations function evaluations.
setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Set the maximal growth factor for stepsize control.
setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Set the maximal growth factor for stepsize control.
setMaximalCount(int) - Method in class org.apache.commons.math3.util.Incrementor
  Sets the upper limit for the counter.
setMaxImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the maximum.
setMaxIterations(int) - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
  Deprecated.
  Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
  Deprecated.
  Set the maximal number of iterations of the algorithm.
setMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the mean.
setMinImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the minimum.
setMinReduction(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Set the minimal reduction factor for stepsize control.
setMinReduction(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Set the minimal reduction factor for stepsize control.
setMode(int) - Method in class org.apache.commons.math3.random.ValueServer
  Sets the data generation mode.
setMu(double) - Method in class org.apache.commons.math3.random.ValueServer
  Sets the `mean` used in data generation.
setNode(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
  Set the node whose cut hyperplane contains this edge.
setNoIntercept(boolean) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
setNormal(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Set the normal vactor.
setNumElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  This function allows you to control the number of elements contained in this array, and can be used to "throw out" the last n values in an array.
setNumeratorFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.AbstractFormat
  Modify the numerator format.
setOrderControl(int, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Set the order control parameters.
setOriginOffset(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Set the offset of the origin.
setOutgoing(PolygonsSet.Edge) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
  Set outgoing edge.
setParameter(String, double) - Method in interface org.apache.commons.math3.ode.ParameterizedODE
  Set the value for a given parameter.
setParameter(String, double) - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
  Set the value for a given parameter.
setParameterizedODE(ParameterizedODE) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Set a parameter Jacobian provider.
setParameterStep(String, double) - Method in class org.apache.commons.math3.ode.JacobianMatrices
  Set the step associated to a parameter in order to compute by finite difference the Jacobian matrix.
setPercentileImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation to be used by `DescriptiveStatistics.getPercentile(double)`.
setPoint(int, PointValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Store a new point at location `index`.
setPoint(int, PointValuePair) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Store a new point at location `index`.
setPoints(PointValuePair[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Replace all points.
setPoints(PointValuePair[]) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Replace all points.
setPopulationLimit(int) - Method in class org.apache.commons.math3.genetics.ListPopulation
  Sets the maximal population size.
setPrimaryState(double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Set primary part of the current state.
setQuantile(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
  Sets the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
setRandomGenerator(RandomGenerator) - Static method in class org.apache.commons.math3.genetics.GeneticAlgorithm
  Set the (static) random generator.
setRoundingMode(DfpField.RoundingMode) - Method in class org.apache.commons.math3.dfp.DfpField
  Set the rounding mode.
setRoundingMode(RoundingMode) - Method in class org.apache.commons.math3.util.BigReal
  Sets the rounding mode for decimal divisions.
setRow(int, T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Set the entries in row number `row` as a row matrix.
setRow(int, double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified `array`.
setRow(int, T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Set the entries in row number `row` as a row matrix.
setRow(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified `array`.
setRow(int, T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Set the entries in row number `row` as a row matrix.
setRow(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified `array`.
setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Set the entries in row number `row` as a row matrix.
setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified row `matrix`.
setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Set the entries in row number `row` as a row matrix.
setRowMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Sets the entries in row number `row` as a row matrix.
setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified row `matrix`.
setRowMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Sets the entries in row number `row` as a row matrix.
setRowMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Set the entries in row number `row` as a row matrix.
setRowMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified row `matrix`.
setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Set the entries in row number `row` as a vector.
setRowVector(int, RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified `vector`.
setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Set the entries in row number `row` as a vector.
setRowVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified `vector`.
setRowVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Set the entries in row number `row` as a vector.
setRowVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Sets the specified `row` of `this` matrix to the entries of the specified `vector`.
setSafety(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Set the safety factor for stepsize control.
setSafety(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
  Set the safety factor for stepsize control.
setScale(int) - Method in class org.apache.commons.math3.util.BigReal
  Sets the scale for division operations.
setSecondaryState(int, double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Set secondary part of the current state.
setSecureAlgorithm(String, String) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API.
setSecureAlgorithm(String, String) - Method in class org.apache.commons.math3.random.RandomDataImpl
  Deprecated.
  Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API.
setSeed(int) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Sets the seed of the underlying random number generator using an `int` seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Sets the seed of the underlying random number generator using an `int` array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
  Sets the seed of the underlying random number generator using a `long` seed.
setSeed(int) - Method in class org.apache.commons.math3.random.AbstractWell
  Reinitialize the generator as if just built with the given int seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.AbstractWell
  Reinitialize the generator as if just built with the given int array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.AbstractWell
  Reinitialize the generator as if just built with the given long seed.
setSeed(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Sets the seed of the underlying random number generator using an `int` seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Sets the seed of the underlying random number generator using an `int` array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
  Sets the seed of the underlying random number generator using a `long` seed.
setSeed(int) - Method in class org.apache.commons.math3.random.ISAACRandom
  Sets the seed of the underlying random number generator using an `int` seed.
setSeed(long) - Method in class org.apache.commons.math3.random.ISAACRandom
  Sets the seed of the underlying random number generator using a `long` seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.ISAACRandom
  Sets the seed of the underlying random number generator using an `int` array seed.
setSeed(int) - Method in class org.apache.commons.math3.random.JDKRandomGenerator
  Sets the seed of the underlying random number generator using an `int` seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.JDKRandomGenerator
  Sets the seed of the underlying random number generator using an `int` array seed.
setSeed(int) - Method in class org.apache.commons.math3.random.MersenneTwister
  Reinitialize the generator as if just built with the given int seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.MersenneTwister
  Reinitialize the generator as if just built with the given int array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.MersenneTwister
  Reinitialize the generator as if just built with the given long seed.
setSeed(int) - Method in class org.apache.commons.math3.random.RandomAdaptor
  Sets the seed of the underlying random number generator using an `int` seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.RandomAdaptor
  Sets the seed of the underlying random number generator using an `int` array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.RandomAdaptor
  Sets the seed of the underlying random number generator using a `long` seed.
setSeed(int) - Method in interface org.apache.commons.math3.random.RandomGenerator
  Sets the seed of the underlying random number generator using an `int` seed.
setSeed(int[]) - Method in interface org.apache.commons.math3.random.RandomGenerator
  Sets the seed of the underlying random number generator using an `int` array seed.
setSeed(long) - Method in interface org.apache.commons.math3.random.RandomGenerator
  Sets the seed of the underlying random number generator using a `long` seed.
setSeed(int) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Sets the seed of the underlying random number generator using an `int` seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Sets the seed of the underlying random number generator using an `int` array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Sets the seed of the underlying random number generator using a `long` seed.
setSigma(double) - Method in class org.apache.commons.math3.random.ValueServer
  Sets the `standard deviation` used in `ValueServer.GAUSSIAN_MODE`.
setSimplex(AbstractSimplex) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
  Deprecated.
  As of 3.1. The initial simplex can now be passed as an argument of the `BaseAbstractMultivariateOptimizer.optimize(int,MultivariateFunction,GoalType,OptimizationData[])` method.
setSize(double) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Set the size of the instance.
setSkewnessImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the skewness.
setSoftCurrentTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Restrict step range to a limited part of the global step.
setSoftPreviousTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Restrict step range to a limited part of the global step.
setStabilityCheck(boolean, int, int, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Set the stability check controls.
setStarterIntegrator(FirstOrderIntegrator) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Set the starter integrator.
setState(int) - Method in class org.apache.commons.math3.random.ISAACRandom
  Set the state by copying the internal arrays.
setStateInitialized(boolean) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
  Set the stateInitialized flag.
setStepSizeControl(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Set the adaptive step size control parameters.
setStepSizeControl(double, double, double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Set the adaptive step size control parameters.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Replace the submatrix starting at `(row, column)` using data in the input `subMatrix` array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Replace the submatrix starting at `row, column` using data in the input `subMatrix` array.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Replace the submatrix starting at `(row, column)` using data in the input `subMatrix` array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Replace the submatrix starting at `row, column` using data in the input `subMatrix` array.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Replace the submatrix starting at `(row, column)` using data in the input `subMatrix` array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Replace the submatrix starting at `row, column` using data in the input `subMatrix` array.
setSubMatrix(T[][], int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Replace the submatrix starting at `(row, column)` using data in the input `subMatrix` array.
setSubMatrix(double[][], int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Replace the submatrix starting at `row, column` using data in the input `subMatrix` array.
setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Set a set of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Set a sequence of consecutive elements.
setSubVector(int, double[]) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Set a set of consecutive elements.
setSubVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Set a set of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Set a sequence of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Set a sequence of consecutive elements.
setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Set a set of consecutive elements.
setSumImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the sum.
setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the Sum.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the sum of logs.
setSumsqImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the sum of squares.
setTime(double) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Set current time.
setup(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  Prepare for computation.
setup(int, DifferentiableUnivariateFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
  Deprecated.
  Prepare for computation.
setup(int, PolynomialFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
  Prepare for computation.
setup(int, UnivariateDifferentiableFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
  Prepare for computation.
setup(int, FUNC, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Prepare for computation.
setup(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Performs validity checks.
setUp() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Method which a subclass must override whenever its internal state depend on the `input` parsed by this base class.
setup(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Performs validity checks.
setUp() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Method which a subclass must override whenever its internal state depend on the `input` parsed by this base class.
setValue(String, Object) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Sets the context (key, value) pair.
setValue(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
  Deprecated.
  Set the value of the entry.
setValue(double) - Method in class org.apache.commons.math3.linear.RealVector.Entry
  Set the value of the entry.
setValueRange(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
setValueRange(double) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
  Deprecated.
setValuesFileURL(String) - Method in class org.apache.commons.math3.random.ValueServer
  Sets the `values file URL` using a string URL representation.
setValuesFileURL(URL) - Method in class org.apache.commons.math3.random.ValueServer
  Sets the the `values file URL`.
setVarianceDirection(SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Sets the variance direction
setVarianceImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sets the implementation for the variance.
setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sets the implementation for the variance.
setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Sets the implementation for the variance.
setWholeFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
  Modify the whole format.
setWholeFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
  Modify the whole format.
setWindowSize(int) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  WindowSize controls the number of values that contribute to the reported statistics.
setWindowSize(int) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  WindowSize controls the number of values that contribute to the reported statistics.
SGN_MASK - Static variable in class org.apache.commons.math3.util.Precision
  Offset to order signed double numbers lexicographically.
SGN_MASK_FLOAT - Static variable in class org.apache.commons.math3.util.Precision
  Offset to order signed double numbers lexicographically.
shape - Variable in class org.apache.commons.math3.distribution.GammaDistribution
  The shape parameter.
shape - Variable in class org.apache.commons.math3.distribution.LogNormalDistribution
  The shape parameter of this distribution.
shape - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
  The shape parameter.
sharedLineWith(PolygonsSet.Vertex) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
  Get the common line bound with both the instance and another vertex, if any.
shift(double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
  Compute the coefficients of the polynomial `Ps(x)` whose values at point `x` will be the same as the those from the original polynomial `P(x)` when computed at `x + shift`.
shift - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  Copy of the `shift` parameter.
shift() - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
  Shift one step forward.
shift() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Shift one step forward.
shiftedShape - Variable in class org.apache.commons.math3.distribution.GammaDistribution
  The constant value of `shape + g + 0.5`, where `g` is the Lanczos constant `Gamma.LANCZOS_G`.
shiftLeft() - Method in class org.apache.commons.math3.dfp.Dfp
  Shift the mantissa left, and adjust the exponent to compensate.
shiftRight() - Method in class org.apache.commons.math3.dfp.Dfp
  Shift the mantissa right, and adjust the exponent to compensate.
SHORTCUT - Static variable in class org.apache.commons.math3.analysis.function.Sinc
  Value below which the computations are done using Taylor series.
shortValue() - Method in class org.apache.commons.math3.util.Decimal64
  The current implementation performs casting to a `short`.
shouldContract() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Returns true if the internal storage array has too many unused storage positions.
shouldGrowTable() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Check if tables should grow due to increased size.
shouldGrowTable() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Check if tables should grow due to increased size.
shuffle() - Method in class org.apache.commons.math3.random.ISAACRandom
  Shuffle array.
shuffle(int[], int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
  Uses a 2-cycle permutation shuffle to randomly re-order the last elements of list.
side(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
  Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
  Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
  Compute the relative position of the instance with respect to an hyperplane.
Side - Enum in org.apache.commons.math3.geometry.partitioning
  Enumerate representing the location of an element with respect to an `hyperplane` of a space.
Side() - Constructor for enum org.apache.commons.math3.geometry.partitioning.Side
side(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
  Compute the relative position of the instance with respect to an hyperplane.
sigma - Variable in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
  Standard deviation.
sigma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Overall standard deviation - search volume.
sigma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
  Sigma values.
sigma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
  Shrinkage coefficient.
sigma - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Overall standard deviation - search volume.
sigma - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
  Deprecated.
  Sigma values.
sigma - Variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
  Deprecated.
  Shrinkage coefficient.
sigma - Variable in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
  Deprecated.
  Standard deviation.
sigma - Variable in class org.apache.commons.math3.random.ValueServer
  Standard deviation for use with GAUSSIAN_MODE.
Sigmoid - Class in org.apache.commons.math3.analysis.function
  Sigmoid function.
Sigmoid() - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid
  Usual sigmoid function, where the lower asymptote is 0 and the higher asymptote is 1.
Sigmoid(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid
  Sigmoid function.
Sigmoid.Parametric - Class in org.apache.commons.math3.analysis.function
  Parametric function where the input array contains the parameters of the logit function, ordered as follows: Lower asymptote Higher asymptote
Sigmoid.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
sign - Variable in class org.apache.commons.math3.dfp.Dfp
  Sign bit: 1 for positive, -1 for negative.
sign(long) - Static method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Extract the sign from the bits of a double.
SIGN_MASK - Static variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
  Sign bit mask.
signum() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Compute the signum of the instance.
Signum - Class in org.apache.commons.math3.analysis.function
  `signum` function.
Signum() - Constructor for class org.apache.commons.math3.analysis.function.Signum
signum(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the signum of a number.
signum(float) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the signum of a number.
SimpleBounds - Class in org.apache.commons.math3.optim
  Simple optimization constraints: lower and upper bounds.
SimpleBounds(double[], double[]) - Constructor for class org.apache.commons.math3.optim.SimpleBounds
SimpleBounds - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
SimpleBounds(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.SimpleBounds
  Deprecated.
SimplePointChecker<PAIR extends Pair<double[],? extends java.lang.Object>> - Class in org.apache.commons.math3.optim
  Simple implementation of the `ConvergenceChecker` interface using only point coordinates.
SimplePointChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimplePointChecker
  Build an instance with specified thresholds.
SimplePointChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimplePointChecker
  Builds an instance with specified thresholds.
SimplePointChecker<PAIR extends Pair<double[],? extends java.lang.Object>> - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
SimplePointChecker() - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
  Deprecated.
  See `AbstractConvergenceChecker.AbstractConvergenceChecker()`
SimplePointChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
  Deprecated.
  Build an instance with specified thresholds.
SimplePointChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
  Deprecated.
  Builds an instance with specified thresholds.
SimpleRegression - Class in org.apache.commons.math3.stat.regression
  Estimates an ordinary least squares regression model with one independent variable.
SimpleRegression() - Constructor for class org.apache.commons.math3.stat.regression.SimpleRegression
  Create an empty SimpleRegression instance
SimpleRegression(boolean) - Constructor for class org.apache.commons.math3.stat.regression.SimpleRegression
  Create a SimpleRegression instance, specifying whether or not to estimate an intercept.
SimpleUnivariateValueChecker - Class in org.apache.commons.math3.optim.univariate
  Simple implementation of the `ConvergenceChecker` interface that uses only objective function values.
SimpleUnivariateValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
  Build an instance with specified thresholds.
SimpleUnivariateValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
  Builds an instance with specified thresholds.
SimpleUnivariateValueChecker - Class in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
SimpleUnivariateValueChecker() - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
  Deprecated.
  See `AbstractConvergenceChecker.AbstractConvergenceChecker()`
SimpleUnivariateValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
  Deprecated.
  Build an instance with specified thresholds.
SimpleUnivariateValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
  Deprecated.
  Builds an instance with specified thresholds.
SimpleValueChecker - Class in org.apache.commons.math3.optim
  Simple implementation of the `ConvergenceChecker` interface using only objective function values.
SimpleValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimpleValueChecker
  Build an instance with specified thresholds.
SimpleValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimpleValueChecker
  Builds an instance with specified thresholds.
SimpleValueChecker - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
SimpleValueChecker() - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
  Deprecated.
  See `AbstractConvergenceChecker.AbstractConvergenceChecker()`
SimpleValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
  Deprecated.
  Build an instance with specified thresholds.
SimpleValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
  Deprecated.
  Builds an instance with specified thresholds.
SimpleVectorValueChecker - Class in org.apache.commons.math3.optim
  Simple implementation of the `ConvergenceChecker` interface using only objective function values.
SimpleVectorValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimpleVectorValueChecker
  Build an instance with specified thresholds.
SimpleVectorValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimpleVectorValueChecker
  Builds an instance with specified tolerance thresholds and iteration count.
SimpleVectorValueChecker - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
SimpleVectorValueChecker() - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
  Deprecated.
  See `AbstractConvergenceChecker.AbstractConvergenceChecker()`
SimpleVectorValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
  Deprecated.
  Build an instance with specified thresholds.
SimpleVectorValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
  Deprecated.
  Builds an instance with specified tolerance thresholds and iteration count.
simplex - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Simplex.
simplex - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
  Simplex update rule.
simplex - Variable in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Simplex.
simplex - Variable in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
  Deprecated.
  Simplex.
SimplexOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
  This class implements simplex-based direct search optimization.
SimplexOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
SimplexOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
SimplexOptimizer - Class in org.apache.commons.math3.optimization.direct
  Deprecated.
  As of 3.1 (to be removed in 4.0).
SimplexOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
  Deprecated.
  See `SimpleValueChecker.SimpleValueChecker()`
SimplexOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
  Deprecated.
SimplexOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
  Deprecated.
SimplexSolver - Class in org.apache.commons.math3.optim.linear
  Solves a linear problem using the "Two-Phase Simplex" method.
SimplexSolver() - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
  Builds a simplex solver with default settings.
SimplexSolver(double, int) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
  Builds a simplex solver with a specified accepted amount of error.
SimplexSolver - Class in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
SimplexSolver() - Constructor for class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Build a simplex solver with default settings.
SimplexSolver(double, int) - Constructor for class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Build a simplex solver with a specified accepted amount of error
SimplexTableau - Class in org.apache.commons.math3.optim.linear
  A tableau for use in the Simplex method.
SimplexTableau(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean, double) - Constructor for class org.apache.commons.math3.optim.linear.SimplexTableau
  Builds a tableau for a linear problem.
SimplexTableau(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean, double, int) - Constructor for class org.apache.commons.math3.optim.linear.SimplexTableau
  Build a tableau for a linear problem.
SimplexTableau - Class in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
SimplexTableau(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean, double) - Constructor for class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Build a tableau for a linear problem.
SimplexTableau(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean, double, int) - Constructor for class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Build a tableau for a linear problem.
SIMPSON_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
  Maximal number of iterations for Simpson.
SimpsonIntegrator - Class in org.apache.commons.math3.analysis.integration
  Implements Simpson's Rule for integration of real univariate functions.
SimpsonIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
  Build a Simpson integrator with given accuracies and iterations counts.
SimpsonIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
  Build a Simpson integrator with given iteration counts.
SimpsonIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
  Construct an integrator with default settings.
sin() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Sine operation.
sin(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute sine of a derivative structure.
Sin - Class in org.apache.commons.math3.analysis.function
  Sine function.
Sin() - Constructor for class org.apache.commons.math3.analysis.function.Sin
sin() - Method in class org.apache.commons.math3.complex.Complex
  Compute the sine of this complex number.
sin(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  computes the sine of the argument.
sin - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Sine of the line angle.
sin(double) - Static method in class org.apache.commons.math3.util.FastMath
  Sine function.
Sinc - Class in org.apache.commons.math3.analysis.function
  Sinc function, defined by
Sinc() - Constructor for class org.apache.commons.math3.analysis.function.Sinc
  The sinc function, `sin(x) / x`.
Sinc(boolean) - Constructor for class org.apache.commons.math3.analysis.function.Sinc
  Instantiates the sinc function.
SINE_TABLE_A - Static variable in class org.apache.commons.math3.util.FastMath
  Sine table (high bits).
SINE_TABLE_B - Static variable in class org.apache.commons.math3.util.FastMath
  Sine table (low bits).
SINE_TABLE_LEN - Static variable in class org.apache.commons.math3.util.FastMath
  Sine, Cosine, Tangent tables are for 0, 1/8, 2/8, ...
singcheck() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  The method which checks for singularities and then eliminates the offending columns.
singular - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
  Singularity indicator.
singular - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
  Singularity indicator.
singular - Variable in class org.apache.commons.math3.linear.LUDecomposition
  Singularity indicator.
singular - Variable in class org.apache.commons.math3.linear.LUDecomposition.Solver
  Singularity indicator.
SingularMatrixException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when a non-singular matrix is expected.
SingularMatrixException() - Constructor for exception org.apache.commons.math3.linear.SingularMatrixException
  Construct an exception.
SingularOperatorException - Exception in org.apache.commons.math3.linear
  Exception to be thrown when trying to invert a singular operator.
SingularOperatorException() - Constructor for exception org.apache.commons.math3.linear.SingularOperatorException
  Creates a new instance of this class.
SingularValueDecomposition - Class in org.apache.commons.math3.linear
  Calculates the compact Singular Value Decomposition of a matrix.
SingularValueDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.SingularValueDecomposition
  Calculates the compact Singular Value Decomposition of the given matrix.
SingularValueDecomposition.Solver - Class in org.apache.commons.math3.linear
  Specialized solver.
SingularValueDecomposition.Solver(double[], RealMatrix, RealMatrix, boolean, double) - Constructor for class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
  Build a solver from decomposed matrix.
singularValues - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
  Computed singular values.
sinh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Hyperbolic sine operation.
sinh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute hyperbolic sine of a derivative structure.
Sinh - Class in org.apache.commons.math3.analysis.function
  Hyperbolic sine function.
Sinh() - Constructor for class org.apache.commons.math3.analysis.function.Sinh
sinh() - Method in class org.apache.commons.math3.complex.Complex
  Compute the hyperbolic sine of this complex number.
sinh(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the hyperbolic sine of a number.
sinInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Computes sin(a) Used when 0 < a < pi/4.
sinQ(double, double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute sine over the first quadrant (0 < x < pi/2).
SIXTEEN - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
SIXTEEN - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
size - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Size of the instance.
size() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Get the number of elements of the tree rooted at this node.
size() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Get the number of elements of the tree.
SIZE - Static variable in class org.apache.commons.math3.random.ISAACRandom
  Size of rsl[] and mem[]
size - Variable in class org.apache.commons.math3.util.MultidimensionalCounter
  Counter sizes.
size - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Current size of the map.
size() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Get the number of elements stored in the map.
size - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Current size of the map.
size() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Get the number of elements stored in the map.
SIZE_L - Static variable in class org.apache.commons.math3.random.ISAACRandom
  Log of size of rsl[] and mem[]
sizes - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Number of partial derivatives (including the single 0 order derivative element).
skew - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
  Skew factor.
Skewness - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes the skewness of the available values.
Skewness() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Constructs a Skewness
Skewness(ThirdMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Constructs a Skewness with an external moment
Skewness(Skewness) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
  Copy constructor, creates a new `Skewness` identical to the `original`
skewnessImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Skewness statistic implementation - can be reset by setter.
slowCos(double, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
  For x between 0 and pi/4 compute cosine using Talor series cos(x) = 1 - x^2/2! + x^4/4! ...
slowexp(double, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
  For x between 0 and 1, returns exp(x), uses extended precision
slowLog(double) - Static method in class org.apache.commons.math3.util.FastMathCalc
  xi in the range of [1, 2].
slowSin(double, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
  For x between 0 and pi/4 compute sine using Taylor expansion: sin(x) = x - x^3/3! + x^5/5! - x^7/7! ...
smartAdd(double, double) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Adds to number a and b such that the contamination due to numerical smallness of one addend does not corrupt the sum.
smooth(double[], double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Compute a weighted loess fit on the data at the original abscissae.
smooth(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Compute a loess fit on the data at the original abscissae.
SmoothingPolynomialBicubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Generates a bicubic interpolation function.
SmoothingPolynomialBicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
  Default constructor.
SmoothingPolynomialBicubicSplineInterpolator(int) - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
SmoothingPolynomialBicubicSplineInterpolator(int, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
SNAN - Static variable in class org.apache.commons.math3.dfp.Dfp
  Indicator value for signaling NaN.
snprod - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of s[1] * ...
softCurrentTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  soft current time
softPreviousTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  soft previous time
solve(int, FUNC, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Solve for a zero in the given interval, start at `startValue`.
solve(int, FUNC, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Solve for a zero root in the given interval.
solve(int, FUNC, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Solve for a zero in the vicinity of `startValue`.
solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Solve for a zero in the given interval.
solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Solve for a zero in the given interval, start at `startValue`.
solve(int, UnivariateFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
  Solve for a zero in the given interval, start at `startValue`.
solve(int, FUNC, double, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Solve for a zero root in the given interval.
solve(int, FUNC, double, double, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Solve for a zero in the given interval, start at `startValue`.
solve(int, FUNC, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
  Solve for a zero in the vicinity of `startValue`.
solve(int, FUNC, double, double, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedUnivariateSolver
  Solve for a zero in the given interval.
solve(int, FUNC, double, double, double, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedUnivariateSolver
  Solve for a zero in the given interval, start at `startValue`.
solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Solve for a zero in the given interval.
solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
  Solve for a zero in the given interval, start at `startValue`.
solve(Complex[], Complex) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver.ComplexSolver
  Find a complex root for the polynomial with the given coefficients, starting from the given initial value.
solve(double, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver
  Find a real root in the given interval.
solve(int, UnivariateDifferentiableFunction, double, double) - Method in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
  Find a zero near the midpoint of `min` and `max`.
solve(int, DifferentiableUnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.solvers.NewtonSolver
  Deprecated.
  Find a zero near the midpoint of `min` and `max`.
solve(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Convenience method to find a zero of a univariate real function.
solve(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Convenience method to find a zero of a univariate real function.
solve(int, UnivariateDfpFunction, Dfp, Dfp, AllowedSolution) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Solve for a zero in the given interval.
solve(int, UnivariateDfpFunction, Dfp, Dfp, Dfp, AllowedSolution) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
  Solve for a zero in the given interval, start at `startValue`.
solve(RealVector) - Method in class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
  Solve the linear equation A × X = B for matrices A.
solve(RealMatrix) - Method in class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
  Solve the linear equation A × X = B for matrices A.
solve(RealVector) - Method in interface org.apache.commons.math3.linear.DecompositionSolver
  Solve the linear equation A × X = B for matrices A.
solve(RealMatrix) - Method in interface org.apache.commons.math3.linear.DecompositionSolver
  Solve the linear equation A × X = B for matrices A.
solve(RealVector) - Method in class org.apache.commons.math3.linear.EigenDecomposition.Solver
  Solves the linear equation A × X = B for symmetric matrices A.
solve(RealMatrix) - Method in class org.apache.commons.math3.linear.EigenDecomposition.Solver
  Solve the linear equation A × X = B for matrices A.
solve(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
  Solve the linear equation A × X = B for matrices A.
solve(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
  Solve the linear equation A × X = B for matrices A.
solve(FieldVector<T>) - Method in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
  Solve the linear equation A × X = B for matrices A.
solve(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
  Solve the linear equation A × X = B.
solve(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
  Solve the linear equation A × X = B for matrices A.
solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealVector) - Method in class org.apache.commons.math3.linear.LUDecomposition.Solver
  Solve the linear equation A × X = B for matrices A.
solve(RealMatrix) - Method in class org.apache.commons.math3.linear.LUDecomposition.Solver
  Solve the linear equation A × X = B for matrices A.
solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealVector) - Method in class org.apache.commons.math3.linear.QRDecomposition.Solver
  Solve the linear equation A × X = B for matrices A.
solve(RealMatrix) - Method in class org.apache.commons.math3.linear.QRDecomposition.Solver
  Solve the linear equation A × X = B for matrices A.
solve(RealVector) - Method in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
  Solve the linear equation A × X = B in least square sense.
solve(RealMatrix) - Method in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
  Solve the linear equation A × X = B in least square sense.
solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system (A - shift · I) · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns the solution to the system (A - shift · I) · x = b.
solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system A · x = b.
solveAll(Complex[], Complex) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver.ComplexSolver
  Find all complex roots for the polynomial with the given coefficients, starting from the given initial value.
solveAllComplex(double[], double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Find all complex roots for the polynomial with the given coefficients, starting from the given initial value.
solveComplex(double[], double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
  Find a complex root for the polynomial with the given coefficients, starting from the given initial value.
solvedCols - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Number of solved point.
solvedCols - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Number of solved point.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.ConjugateGradient
  Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
  Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system (A - shift · I) · x = b.
solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
  Returns an estimate of the solution to the linear system A · x = b.
solveInverseCumulativeProbability(double, int, int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
  This is a utility function used by `AbstractIntegerDistribution.inverseCumulativeProbability(double)`.
solveLowerTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Solve a system of composed of a Lower Triangular Matrix `RealMatrix`.
solvePhase1(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
  Solves Phase 1 of the Simplex method.
solvePhase1(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
  Deprecated.
  Solves Phase 1 of the Simplex method.
solver - Variable in class org.apache.commons.math3.ode.events.EventState
  Root-finding algorithm to use to detect state events.
solver - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  solver to use in the line search (may be null).
solver - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  solver to use in the line search (may be null).
SOLVER_DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Default accuracy.
solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
  Solver absolute accuracy for inverse cumulative computation
solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.BetaDistribution
  Inverse cumulative probability accuracy.
solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.CauchyDistribution
  Inverse cumulative probability accuracy
solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
  Inverse cumulative probability accuracy
solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.ExponentialDistribution
  Inverse cumulative probability accuracy.
solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.FDistribution
  Inverse cumulative probability accuracy.
solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.GammaDistribution
  Inverse cumulative probability accuracy.
solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.LogNormalDistribution
  Inverse cumulative probability accuracy.
solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.NormalDistribution
  Inverse cumulative probability accuracy.
solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.TDistribution
  Inverse cumulative probability accuracy.
solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.TriangularDistribution
  Inverse cumulative probability accuracy.
solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.UniformRealDistribution
  Inverse cumulative probability accuracy.
solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
  Inverse cumulative probability accuracy.
solveUpperTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math3.linear.MatrixUtils
  Solver a system composed of an Upper Triangular Matrix `RealMatrix`.
sorted - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
  Sorted segments.
sortedIndices(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Sorts fitness values.
sortedIndices(double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Sorts fitness values.
sortedRepresentation - Variable in class org.apache.commons.math3.genetics.RandomKey
  Cache of sorted representation (unmodifiable).
sortingKey - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ComparableSegment
  Sorting key.
sortInPlace(double[], double[]...) - Static method in class org.apache.commons.math3.util.MathArrays
  Sort an array in ascending order in place and perform the same reordering of entries on other arrays.
sortInPlace(double[], MathArrays.OrderDirection, double[]...) - Static method in class org.apache.commons.math3.util.MathArrays
  Sort an array in place and perform the same reordering of entries on other arrays.
sortObservations(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
  Sort the observations.
sortObservations(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
  Sort the observations with respect to the abscissa.
sortObservations(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
  Deprecated.
  Sort the observations.
sortObservations(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
  Deprecated.
  Sort the observations with respect to the abscissa.
sortPairs(GoalType) - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Sort the optima from best to worst, followed by `null` elements.
sortPairs(GoalType) - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Sort the optima from best to worst, followed by `null` elements.
sortPairs(double[], double[]) - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Sort the optima from best to worst, followed by `null` elements.
sortPairs(GoalType) - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Sort the optima from best to worst, followed by `null` elements.
source - Variable in class org.apache.commons.math3.exception.util.DummyLocalizable
  Source string.
sourceFormat - Variable in enum org.apache.commons.math3.exception.util.LocalizedFormats
  Source English format.
Space - Interface in org.apache.commons.math3.geometry
  This interface represents a generic space, with affine and vectorial counterparts.
SparseFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Deprecated.
  As of version 3.1, this class is deprecated, for reasons exposed in this JIRA ticket. This class will be removed in version 4.0.
SparseFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Create a matrix with no data.
SparseFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Create a new SparseFieldMatrix<T> with the supplied row and column dimensions.
SparseFieldMatrix(SparseFieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Copy constructor.
SparseFieldMatrix(FieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
  Deprecated.
  Generic copy constructor.
SparseFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
  Deprecated.
  As of version 3.1, this class is deprecated, for reasons exposed in this JIRA ticket. This class will be removed in version 4.0.
SparseFieldVector(Field<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Build a 0-length vector.
SparseFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Construct a vector of zeroes.
SparseFieldVector(SparseFieldVector<T>, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Build a resized vector, for use with append.
SparseFieldVector(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Build a vector with known the sparseness (for advanced use only).
SparseFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Create from a Field array.
SparseFieldVector(SparseFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Copy constructor.
sparseIterator() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Create a sparse iterator over the vector, which may omit some entries.
sparseIterator() - Method in class org.apache.commons.math3.linear.RealVector
  Deprecated.
  As of 3.1, this method is deprecated, because its interface is too confusing (see JIRA MATH-875). This method will be completely removed in 4.0.
SparseRealMatrix - Interface in org.apache.commons.math3.linear
  Deprecated.
  As of version 3.1, this class is deprecated, for reasons exposed in this JIRA ticket. This class will be removed in version 4.0.
SparseRealVector - Class in org.apache.commons.math3.linear
  Deprecated.
  As of version 3.1, this class is deprecated, for reasons exposed in this JIRA ticket. This class will be removed in version 4.0.
SparseRealVector() - Constructor for class org.apache.commons.math3.linear.SparseRealVector
  Deprecated.
SpearmansCorrelation - Class in org.apache.commons.math3.stat.correlation
  Spearman's rank correlation.
SpearmansCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Create a SpearmansCorrelation without data.
SpearmansCorrelation(RankingAlgorithm) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Create a SpearmansCorrelation with the given ranking algorithm.
SpearmansCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Create a SpearmansCorrelation from the given data matrix.
SpearmansCorrelation(RealMatrix, RankingAlgorithm) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
  Create a SpearmansCorrelation with the given input data matrix and ranking algorithm.
SplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set.
SplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.SplineInterpolator
splines - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
  Set of cubic splines patching the whole data grid
splines - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
  Set of cubic splines pacthing the whole data grid
split(String) - Method in class org.apache.commons.math3.dfp.DfpField
  Breaks a string representation up into two `Dfp`'s.
split(DfpField, String) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Breaks a string representation up into two dfp's.
split(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Splits a `Dfp` into 2 `Dfp`'s such that their sum is equal to the input `Dfp`.
split(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
  Split the instance in two parts by an hyperplane.
split(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
  Split the instance in two parts by an hyperplane.
split(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
  Split the edge.
split(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Split the instance in two parts by an hyperplane.
split(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
  Split the instance in two parts by an hyperplane.
split(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Split a BSP tree by an external sub-hyperplane.
split(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
  Split the instance in two parts by an hyperplane.
split(double, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
  Compute split[0], split[1] such that their sum is equal to d, and split[0] has its 30 least significant bits as zero.
SPLIT_FACTOR - Static variable in class org.apache.commons.math3.util.MathArrays
  Factor used for splitting double numbers: n = 2^27 + 1 (i.e.
splitAdd(double[], double[], double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
  Add two numbers in split form.
splitDiv(Dfp[], Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Divide two numbers that are split in to two pieces that are meant to be added together.
splitMult(Dfp[], Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Multiply two numbers that are split in to two pieces that are meant to be added together.
splitMult(double[], double[], double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
  Multiply two numbers in split form.
splitPow(Dfp[], int) - Static method in class org.apache.commons.math3.dfp.DfpMath
  Raise a split base to the a power.
splitReciprocal(double[], double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
  Compute the reciprocal of in.
sqr2 - Variable in class org.apache.commons.math3.dfp.DfpField
  A `Dfp` with value √2.
sqr2Reciprocal - Variable in class org.apache.commons.math3.dfp.DfpField
  A `Dfp` with value √2 / 2.
sqr2ReciprocalString - Static variable in class org.apache.commons.math3.dfp.DfpField
  High precision string representation of √2 / 2.
sqr2Split - Variable in class org.apache.commons.math3.dfp.DfpField
  A two elements `Dfp` array with value √2 split in two pieces.
sqr2String - Static variable in class org.apache.commons.math3.dfp.DfpField
  High precision string representation of √2.
sqr3 - Variable in class org.apache.commons.math3.dfp.DfpField
  A `Dfp` with value √3.
sqr3Reciprocal - Variable in class org.apache.commons.math3.dfp.DfpField
  A `Dfp` with value √3 / 3.
sqr3ReciprocalString - Static variable in class org.apache.commons.math3.dfp.DfpField
  High precision string representation of √3 / 3.
sqr3String - Static variable in class org.apache.commons.math3.dfp.DfpField
  High precision string representation of √3.
sqrt() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Square root.
Sqrt - Class in org.apache.commons.math3.analysis.function
  Square-root function.
Sqrt() - Constructor for class org.apache.commons.math3.analysis.function.Sqrt
sqrt() - Method in class org.apache.commons.math3.complex.Complex
  Compute the square root of this complex number.
sqrt() - Method in class org.apache.commons.math3.dfp.Dfp
  Compute the square root.
sqrt() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
  Returns the square root of `this` diagonal operator.
sqrt(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
sqrt(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
sqrt(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the square root of a number.
sqrt1z() - Method in class org.apache.commons.math3.complex.Complex
  Compute the square root of `1 - this2` for this complex number.
SQRT2 - Static variable in class org.apache.commons.math3.distribution.LogNormalDistribution
  √(2)
SQRT2 - Static variable in class org.apache.commons.math3.distribution.NormalDistribution
  √(2)
SQRT2PI - Static variable in class org.apache.commons.math3.distribution.LogNormalDistribution
  √(2 π)
SQRT2PI - Static variable in class org.apache.commons.math3.distribution.NormalDistribution
  √(2 π)
SQRT3 - Static variable in class org.apache.commons.math3.random.UniformRandomGenerator
  Square root of three.
SQRT_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
  Name for traps triggered by square root.
SQRT_TWO_PI - Static variable in class org.apache.commons.math3.special.Gamma
  The constant value of √(2π).
square(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
square(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
squareRoot(RealMatrix) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Computes the square-root of the weight matrix.
squareRoot(RealMatrix) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Computes the square-root of the weight matrix.
ss() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  Calculates the sum of squared errors for the full regression and all subsets in the following manner:
SSE_IDX - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
  INDEX of Sum of Squared Errors
sserr - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  sum of squared errors of largest regression
SST_IDX - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
  INDEX of Sum of Squares of Model
stabilityReduction - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  stepsize reduction factor in case of stability check failure.
StableRandomGenerator - Class in org.apache.commons.math3.random
  This class provides a stable normalized random generator.
StableRandomGenerator(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.random.StableRandomGenerator
  Create a new generator.
stage(int) - Method in class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
  Compute the n-th stage integral.
stage(int) - Method in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Compute the n-th stage integral.
stage(BaseAbstractUnivariateIntegrator, int) - Method in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
  Compute the n-th stage integral of trapezoid rule.
standardDeviation - Variable in class org.apache.commons.math3.distribution.NormalDistribution
  Standard deviation of this distribution.
standardDeviation - Variable in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
  Standard deviation vector.
StandardDeviation - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes the sample standard deviation.
StandardDeviation() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Constructs a StandardDeviation.
StandardDeviation(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Constructs a StandardDeviation from an external second moment.
StandardDeviation(StandardDeviation) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Copy constructor, creates a new `StandardDeviation` identical to the `original`
StandardDeviation(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Contructs a StandardDeviation with the specified value for the `isBiasCorrected` property.
StandardDeviation(boolean, SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Contructs a StandardDeviation with the specified value for the `isBiasCorrected` property and the supplied external moment.
start - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Segment
  Start point of the segment.
start - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
  Start vertex.
start - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Segment
  Start point of the segment.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
  Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
  Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
  Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
  Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
  Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
  Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.MatrixUtils.BigFractionMatrixConverter
  Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.MatrixUtils.FractionMatrixConverter
  Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
  Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
  Start visiting a matrix.
start(int, int, int) - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
  Start visiting a vector.
start(int, int, int) - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
  Start visiting a vector.
start(double, double[], double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
  Start the integration.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
  Start visiting a matrix.
start - Variable in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
  Initial guess.
start - Variable in class org.apache.commons.math3.optim.univariate.SearchInterval
  Start value.
start - Variable in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
  Initial guess.
start - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Initial guess.
start - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Initial guess.
start() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Deprecated.
  As of 3.1.
startConfiguration - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
  Start simplex configuration.
startConfiguration - Variable in class org.apache.commons.math3.optimization.direct.AbstractSimplex
  Deprecated.
  Start simplex configuration.
starter - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
  Starter integrator.
startIndex - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
  The position of the first addressable element in the internal storage array.
starts - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Number of starts to go.
starts - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Number of starts to go.
starts - Variable in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Number of starts to go.
starts - Variable in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Number of starts to go.
starts - Variable in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Number of starts to go.
state - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE.SecondaryComponent
  State.
stateDim - Variable in class org.apache.commons.math3.ode.JacobianMatrices
  Main state vector dimension.
stateDot - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE.SecondaryComponent
  State derivative.
stateEstimation - Variable in class org.apache.commons.math3.filter.KalmanFilter
  The internal state estimation vector, equivalent to x hat.
states - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  States table.
states - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  States table.
statesInitialized - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
  Initialization indicator of events states.
stateTransitionMatrix - Variable in class org.apache.commons.math3.filter.DefaultProcessModel
  The state transition matrix, used to advance the internal state estimation each time-step.
stateVariation - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
  State variation.
STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator
  Internal weights Butcher array.
STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Internal weights Butcher array.
STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Internal weights Butcher array.
STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.EulerIntegrator
  Internal weights Butcher array.
STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.GillIntegrator
  Internal weights Butcher array.
STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
  Internal weights Butcher array.
STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator
  Internal weights Butcher array.
STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesIntegrator
  Internal weights Butcher array.
STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator
  Propagation weights Butcher array.
STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Propagation weights Butcher array.
STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Propagation weights Butcher array.
STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.EulerIntegrator
  Propagation weights Butcher array.
STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.GillIntegrator
  Propagation weights Butcher array.
STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
  Propagation weights Butcher array.
STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator
  Propagation weights Butcher array.
STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesIntegrator
  Propagation weights Butcher array.
STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator
  Time steps Butcher array.
STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
  Time steps Butcher array.
STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
  Time steps Butcher array.
STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.EulerIntegrator
  Time steps Butcher array.
STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.GillIntegrator
  Time steps Butcher array.
STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
  Time steps Butcher array.
STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator
  Time steps Butcher array.
STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesIntegrator
  Time steps Butcher array.
STATIC_E - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
  Error weights Butcher array.
StatisticalMultivariateSummary - Interface in org.apache.commons.math3.stat.descriptive
  Reporting interface for basic multivariate statistics.
StatisticalSummary - Interface in org.apache.commons.math3.stat.descriptive
  Reporting interface for basic univariate statistics.
StatisticalSummaryValues - Class in org.apache.commons.math3.stat.descriptive
  Value object representing the results of a univariate statistical summary.
StatisticalSummaryValues(double, double, long, double, double, double) - Constructor for class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
  Constructor
statistics - Variable in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  The SummaryStatistics in which aggregate statistics are accumulated.
statisticsDHistory - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  History of D matrix.
statisticsDHistory - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  History of D matrix.
statisticsFitnessHistory - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  History of fitness values.
statisticsFitnessHistory - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  History of fitness values.
statisticsMeanHistory - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  History of mean matrix.
statisticsMeanHistory - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  History of mean matrix.
statisticsPrototype - Variable in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
  A SummaryStatistics serving as a prototype for creating SummaryStatistics contributing to this aggregate
statisticsSigmaHistory - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  History of sigma values.
statisticsSigmaHistory - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  History of sigma values.
StatUtils - Class in org.apache.commons.math3.stat
  StatUtils provides static methods for computing statistics based on data stored in double[] arrays.
StatUtils() - Constructor for class org.apache.commons.math3.stat.StatUtils
  Private Constructor
step - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
  Integration step.
stepAccepted(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventState
  Acknowledge the fact the step has been accepted by the integrator.
stepControl1 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  first stepsize control factor.
stepControl2 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  second stepsize control factor.
stepControl3 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  third stepsize control factor.
stepControl4 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  fourth stepsize control factor.
StepFunction - Class in org.apache.commons.math3.analysis.function
  Step function.
StepFunction(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.function.StepFunction
  Builds a step function from a list of arguments and the corresponding values.
StepHandler - Interface in org.apache.commons.math3.ode.sampling
  This interface represents a handler that should be called after each successful step.
stepHandlers - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
  Step handler.
StepInterpolator - Interface in org.apache.commons.math3.ode.sampling
  This interface represents an interpolator over the last step during an ODE integration.
StepNormalizer - Class in org.apache.commons.math3.ode.sampling
  This class wraps an object implementing `FixedStepHandler` into a `StepHandler`.
StepNormalizer(double, FixedStepHandler) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
  Simple constructor.
StepNormalizer(double, FixedStepHandler, StepNormalizerMode) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
  Simple constructor.
StepNormalizer(double, FixedStepHandler, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
  Simple constructor.
StepNormalizer(double, FixedStepHandler, StepNormalizerMode, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
  Simple constructor.
StepNormalizerBounds - Enum in org.apache.commons.math3.ode.sampling
  `Step normalizer` bounds settings.
StepNormalizerBounds(boolean, boolean) - Constructor for enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
  Simple constructor.
StepNormalizerMode - Enum in org.apache.commons.math3.ode.sampling
  `Step normalizer` modes.
StepNormalizerMode() - Constructor for enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
steps - Variable in class org.apache.commons.math3.ode.ContinuousOutputModel
  Steps table.
stepSize - Variable in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Step size.
stepSize - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
  Current stepsize.
stepStart - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
  Current step start time.
STIRLING_S2 - Static variable in class org.apache.commons.math3.util.ArithmeticUtils
  Stirling numbers of the second kind.
stirlingS2(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Returns the Stirling number of the second kind, "`S(n,k)`", the number of ways of partitioning an `n`-element set into `k` non-empty subsets.
stop() - Method in class org.apache.commons.math3.ode.events.EventState
  Check if the integration should be stopped at the end of the current step.
stopFitness - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Limit for fitness value.
stopFitness - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Limit for fitness value.
StoppingCondition - Interface in org.apache.commons.math3.genetics
  Algorithm used to determine when to stop evolution.
stoppingTrustRegionRadius - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  stoppingTrustRegionRadius XXX
stoppingTrustRegionRadius - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  stoppingTrustRegionRadius XXX
stopTolFun - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Stop if fun-changes smaller stopTolFun.
stopTolFun - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Stop if fun-changes smaller stopTolFun.
stopTolHistFun - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Stop if back fun-changes smaller stopTolHistFun.
stopTolHistFun - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Stop if back fun-changes smaller stopTolHistFun.
stopTolUpX - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Stop if x-changes larger stopTolUpX.
stopTolUpX - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Stop if x-changes larger stopTolUpX.
stopTolX - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Stop if x-change smaller stopTolX.
stopTolX - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Stop if x-change smaller stopTolX.
store(double, Map.Entry<RealVector, Double>) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
  Store the illumination and index of the brightest sample.
store(PAIR) - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Method that will be called in order to store each found optimum.
store(PointValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
  Method that will be called in order to store each found optimum.
store(PointVectorValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
  Method that will be called in order to store each found optimum.
storedData - Variable in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  Stored data.
StorelessBivariateCovariance - Class in org.apache.commons.math3.stat.correlation
  Bivariate Covariance implementation that does not require input data to be stored in memory.
StorelessBivariateCovariance() - Constructor for class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
  Create an empty `StorelessBivariateCovariance` instance with bias correction.
StorelessBivariateCovariance(boolean) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
  Create an empty `StorelessBivariateCovariance` instance.
StorelessCovariance - Class in org.apache.commons.math3.stat.correlation
  Covariance implementation that does not require input data to be stored in memory.
StorelessCovariance(int) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Create a bias corrected covariance matrix with a given dimension.
StorelessCovariance(int, boolean) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessCovariance
  Create a covariance matrix with a given number of rows and columns and the indicated bias correction.
StorelessUnivariateStatistic - Interface in org.apache.commons.math3.stat.descriptive
  Extends the definition of `UnivariateStatistic` with `StorelessUnivariateStatistic.increment(double)` and `StorelessUnivariateStatistic.incrementAll(double[])` methods for adding values and updating internal state.
storeStep(StepInterpolator, double) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
  Stores the interpolated information for the given time in the current state.
storeTime(double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Store the current step time.
storeTime(double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Store the current step time.
storeTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Store the current step time.
strict - Variable in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
  Whether the sequence must be strictly increasing or decreasing.
strictlyNegative() - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is strictly less than 0.
strictlyPositive() - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is strictly greater than 0.
stringValue - Variable in enum org.apache.commons.math3.optim.linear.Relationship
  Display string for the relationship.
stringValue - Variable in enum org.apache.commons.math3.optimization.linear.Relationship
  Deprecated.
  Display string for the relationship.
subAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Subtract two integers, checking for overflow.
subAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
  Subtract two long integers, checking for overflow.
SubHyperplane<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
  This interface represents the remaining parts of an hyperplane after other parts have been chopped off.
SubHyperplane.SplitSubHyperplane<U extends Space> - Class in org.apache.commons.math3.geometry.partitioning
  Class holding the results of the `split` method.
SubHyperplane.SplitSubHyperplane(SubHyperplane<U>, SubHyperplane<U>) - Constructor for class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
  Build a SplitSubHyperplane from its parts.
SubLine - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class represents a subset of a `Line`.
SubLine(Line, IntervalsSet) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
  Simple constructor.
SubLine(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
  Create a sub-line from two endpoints.
SubLine(Segment) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
  Create a sub-line from a segment.
SubLine - Class in org.apache.commons.math3.geometry.euclidean.twod
  This class represents a sub-hyperplane for `Line`.
SubLine(Hyperplane<Euclidean2D>, Region<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Simple constructor.
SubLine(Vector2D, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Create a sub-line from two endpoints.
SubLine(Segment) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
  Create a sub-line from a segment.
SubOrientedPoint - Class in org.apache.commons.math3.geometry.euclidean.oned
  This class represents sub-hyperplane for `OrientedPoint`.
SubOrientedPoint(Hyperplane<Euclidean1D>, Region<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
  Simple constructor.
SubPlane - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class represents a sub-hyperplane for `Plane`.
SubPlane(Hyperplane<Euclidean3D>, Region<Euclidean2D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
  Simple constructor.
substituteMostRecentElement(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
  Substitutes `value` for the most recently added value.
subtract(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  '-' operator.
subtract(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  '-' operator.
subtract(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Perform subtraction of two derivative structures.
Subtract - Class in org.apache.commons.math3.analysis.function
  Subtract the second operand from the first.
Subtract() - Constructor for class org.apache.commons.math3.analysis.function.Subtract
subtract(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Subtract a polynomial from the instance.
subtract(Complex) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `(this - subtrahend)`.
subtract(double) - Method in class org.apache.commons.math3.complex.Complex
  Returns a `Complex` whose value is `(this - subtrahend)`.
subtract(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
  Subtracts two quaternions.
subtract(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
  Subtracts a quaternion from the instance.
subtract(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Subtract x from this.
subtract(T) - Method in interface org.apache.commons.math3.FieldElement
  Compute this - a.
subtract(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
  Subtracts the value of an `BigInteger` from the value of this `BigFraction`, returning the result in reduced form.
subtract(int) - Method in class org.apache.commons.math3.fraction.BigFraction
  Subtracts the value of an `integer` from the value of this `BigFraction`, returning the result in reduced form.
subtract(long) - Method in class org.apache.commons.math3.fraction.BigFraction
  Subtracts the value of a `long` from the value of this `BigFraction`, returning the result in reduced form.
subtract(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
  Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
subtract(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
  Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
subtract(int) - Method in class org.apache.commons.math3.fraction.Fraction
  Subtract an integer from the fraction.
subtract(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Subtract a vector from the instance.
subtract(double, Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Subtract a scaled vector from the instance.
subtract(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Subtract a vector from the instance.
subtract(double, Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Subtract a scaled vector from the instance.
subtract(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Subtract a vector from the instance.
subtract(double, Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Subtract a scaled vector from the instance.
subtract(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Subtract a vector from the instance.
subtract(double, Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
  Subtract a scaled vector from the instance.
subtract(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Subtract `m` from this matrix.
subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns `this` minus `m`.
subtract(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Subtract `m` from this matrix.
subtract(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Returns `this` minus `m`.
subtract(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute `this` minus `v`.
subtract(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Compute `this` minus `v`.
subtract(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Subtract `v` from this vector.
subtract(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Subtract `m` from this matrix.
subtract(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Compute `this - m`.
subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns `this` minus `m`.
subtract(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Subtract `m` from this matrix.
subtract(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Subtract `m` from this matrix.
subtract(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
  Compute `this` minus `v`.
subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Returns `this` minus `m`.
subtract(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
  Deprecated.
  Subtract `m` from this matrix.
subtract(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Optimized method to subtract OpenMapRealVectors.
subtract(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Subtract `v` from this vector.
subtract(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns `this` minus `m`.
subtract(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
  Subtract `v` from this vector.
subtract(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Optimized method to compute `this` minus `v`.
subtract(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Compute `this` minus `v`.
subtract(BigReal) - Method in class org.apache.commons.math3.util.BigReal
  Compute this - a.
subtract(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
  Compute this - a.
subtractRow(int, int, double) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Subtracts a multiple of one row from another.
subtractRow(int, int, double) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Subtracts a multiple of one row from another.
suffix - Variable in class org.apache.commons.math3.geometry.VectorFormat
  Suffix.
suffix - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
  Suffix.
suffix - Variable in class org.apache.commons.math3.linear.RealVectorFormat
  Suffix.
sum - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
  The sum of the sample values
Sum - Class in org.apache.commons.math3.stat.descriptive.summary
  Returns the sum of the available values.
Sum() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Sum
  Create a Sum instance
Sum(Sum) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Sum
  Copy constructor, creates a new `Sum` identical to the `original`
sum - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  sum of values that have been added
SUM - Static variable in class org.apache.commons.math3.stat.StatUtils
  sum
sum(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sum of the values in the input array, or `Double.NaN` if the array is empty.
sum(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sum of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
SUM_OF_LOGS - Static variable in class org.apache.commons.math3.stat.StatUtils
  sumLog
SUM_OF_SQUARES - Static variable in class org.apache.commons.math3.stat.StatUtils
  sumSq
sumDeltaMinusDeltaSum(double, double) - Static method in class org.apache.commons.math3.special.Beta
  Returns the value of Δ(p) + Δ(q) - Δ(p + q), with p, q ≥ 10.
sumDifference(double[], double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sum of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]).
sumImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sum statistic implementation - can be reset by setter.
sumImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sum statistic implementation - can be reset by setter.
sumImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sum statistic implementation - can be reset by setter.
sumLog - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  sumLog of values that have been added
sumLog(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sum of the natural logs of the entries in the input array, or `Double.NaN` if the array is empty.
sumLog(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sum of the natural logs of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
sumLogImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sum of log statistic implementation - can be reset by setter.
sumLogImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sum of log statistic implementation - can be reset by setter.
SummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
  Computes summary statistics for a stream of data values added using the `addValue` method.
SummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Construct a SummaryStatistics instance
SummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  A copy constructor.
sumOfLogs - Variable in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
  Wrapped SumOfLogs instance
SumOfLogs - Class in org.apache.commons.math3.stat.descriptive.summary
  Returns the sum of the natural logs for this collection of values.
SumOfLogs() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Create a SumOfLogs instance
SumOfLogs(SumOfLogs) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  Copy constructor, creates a new `SumOfLogs` identical to the `original`
SumOfSquares - Class in org.apache.commons.math3.stat.descriptive.summary
  Returns the sum of the squares of the available values.
SumOfSquares() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Create a SumOfSquares instance
SumOfSquares(SumOfSquares) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  Copy constructor, creates a new `SumOfSquares` identical to the `original`
sumRows(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
sumRows(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
sums - Variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
  Sums for each component.
sumsq - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  sum of the square of each value that has been added
sumSq(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sum of the squares of the entries in the input array, or `Double.NaN` if the array is empty.
sumSq(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the sum of the squares of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
sumsqImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Sum of squares statistic implementation - can be reset by setter.
sumSqImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Sum of squares statistic implementation - can be reset by setter.
sumsqImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Sum of squares statistic implementation - can be reset by setter.
sumsqy - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  summation of squared Y values
sumX - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
  sum of x values
sumXX - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
  total variation in x (sum of squared deviations from xbar)
sumXY - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
  sum of products
sumy - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  summation of Y variable
sumY - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
  sum of y values
sumYY - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
  total variation in y (sum of squared deviations from ybar)
surrounded - Variable in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
  Surrounded loops.
SymmLQ - Class in org.apache.commons.math3.linear
  Implementation of the SYMMLQ iterative linear solver proposed by Paige and Saunders (1975).
SymmLQ(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ
  Creates a new instance of this class, with default stopping criterion.
SymmLQ(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ
  Creates a new instance of this class, with default stopping criterion and custom iteration manager.
SymmLQ.State - Class in org.apache.commons.math3.linear
  A simple container holding the non-final variables used in the iterations.
SymmLQ.State(RealLinearOperator, RealLinearOperator, RealVector, boolean, double, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ.State
  Creates and inits to k = 1 a new instance of this class.
SynchronizedDescriptiveStatistics - Class in org.apache.commons.math3.stat.descriptive
  Implementation of `DescriptiveStatistics` that is safe to use in a multithreaded environment.
SynchronizedDescriptiveStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Construct an instance with infinite window
SynchronizedDescriptiveStatistics(int) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Construct an instance with finite window
SynchronizedDescriptiveStatistics(SynchronizedDescriptiveStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  A copy constructor.
SynchronizedMultivariateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
  Implementation of `MultivariateSummaryStatistics` that is safe to use in a multithreaded environment.
SynchronizedMultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Construct a SynchronizedMultivariateSummaryStatistics instance
SynchronizedRandomGenerator - Class in org.apache.commons.math3.random
  Any `RandomGenerator` implementation can be thread-safe if it is used through an instance of this class.
SynchronizedRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Creates a synchronized wrapper for the given `RandomGenerator` instance.
SynchronizedSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
  Implementation of `SummaryStatistics` that is safe to use in a multithreaded environment.
SynchronizedSummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Construct a SynchronizedSummaryStatistics instance
SynchronizedSummaryStatistics(SynchronizedSummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  A copy constructor.

## T

t - Variable in class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
  First steps times.
t(double, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
t(double, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
t(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
t(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
t(double, double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes a t statistic given observed values and a comparison constant.
t(double, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes a t statistic to use in comparing the mean of the dataset described by `sampleStats` to `mu`.
t(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances.
t(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes a 2-sample t statistic , comparing the means of the datasets described by two `StatisticalSummary` instances, without the assumption of equal subpopulation variances.
t(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes t test statistic for 1-sample t-test.
t(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes t test statistic for 2-sample t-test.
t0 - Variable in class org.apache.commons.math3.ode.events.EventState
  Time at the beginning of the step.
T_TEST - Static variable in class org.apache.commons.math3.stat.inference.TestUtils
  Singleton TTest instance.
TABLE_END_DECL - Static variable in class org.apache.commons.math3.util.FastMathCalc
  Table end declaration.
TABLE_START_DECL - Static variable in class org.apache.commons.math3.util.FastMathCalc
  Table start declaration.
tableau - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
  Simple tableau.
tableau - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Simple tableau.
tan() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Tangent operation.
tan(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute tangent of a derivative structure.
Tan - Class in org.apache.commons.math3.analysis.function
  Tangent function.
Tan() - Constructor for class org.apache.commons.math3.analysis.function.Tan
tan() - Method in class org.apache.commons.math3.complex.Complex
  Compute the tangent of this complex number.
tan(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
  computes the tangent of the argument.
tan(double) - Static method in class org.apache.commons.math3.util.FastMath
  Tangent function.
TANGENT_TABLE_A - Static variable in class org.apache.commons.math3.util.FastMath
  Tangent table, used by atan() (high bits).
TANGENT_TABLE_B - Static variable in class org.apache.commons.math3.util.FastMath
  Tangent table, used by atan() (low bits).
tanh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Hyperbolic tangent operation.
tanh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Compute hyperbolic tangent of a derivative structure.
Tanh - Class in org.apache.commons.math3.analysis.function
  Hyperbolic tangent function.
Tanh() - Constructor for class org.apache.commons.math3.analysis.function.Tanh
tanh() - Method in class org.apache.commons.math3.complex.Complex
  Compute the hyperbolic tangent of this complex number.
tanh(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute the hyperbolic tangent of a number.
tanQ(double, double, boolean) - Static method in class org.apache.commons.math3.util.FastMath
  Compute tangent (or cotangent) over the first quadrant.
target - Variable in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Target values for the model function at optimum.
Target - Class in org.apache.commons.math3.optim.nonlinear.vector
  Target of the optimization procedure.
Target(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Target
target - Variable in class org.apache.commons.math3.optim.nonlinear.vector.Target
  Target values (of the objective vector function).
target - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Target value for the objective functions at optimum.
Target - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
Target(double[]) - Constructor for class org.apache.commons.math3.optimization.Target
  Deprecated.
target - Variable in class org.apache.commons.math3.optimization.Target
  Deprecated.
  Target values (of the objective vector function).
taylor(double...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Evaluate Taylor expansion a derivative structure.
taylor(double[], int, double...) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
  Evaluate Taylor expansion of a derivative structure.
TDistribution - Class in org.apache.commons.math3.distribution
  Implementation of Student's t-distribution.
TDistribution(double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
  Create a t distribution using the given degrees of freedom.
TDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
  Create a t distribution using the given degrees of freedom and the specified inverse cumulative probability absolute accuracy.
TDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
  Creates a t distribution.
TEN - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
TEN - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
terminationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
  Invoked after completion of the operations which occur after breaking out of the main iteration loop.
test(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  This method is used by `evaluate(double[], int, int)` methods to verify that the input parameters designate a subarray of positive length.
test(double[], int, int, boolean) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  This method is used by `evaluate(double[], int, int)` methods to verify that the input parameters designate a subarray of positive length.
test(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  This method is used by `evaluate(double[], double[], int, int)` methods to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
test(double[], double[], int, int, boolean) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
  This method is used by `evaluate(double[], double[], int, int)` methods to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
TestUtils - Class in org.apache.commons.math3.stat.inference
  A collection of static methods to create inference test instances or to perform inference tests.
TestUtils() - Constructor for class org.apache.commons.math3.stat.inference.TestUtils
  Prevent instantiation.
ThirdMoment - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes a statistic related to the Third Central Moment.
ThirdMoment() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
  Create a FourthMoment instance
ThirdMoment(ThirdMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
  Copy constructor, creates a new `ThirdMoment` identical to the `original`
THREE_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "3/5".
THREE_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "3/5".
THREE_QUARTERS - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "3/4".
THREE_QUARTERS - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "3/4".
ThreeEighthesIntegrator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations.
ThreeEighthesIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.ThreeEighthesIntegrator
  Simple constructor.
ThreeEighthesStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
  This class implements a step interpolator for the 3/8 fourth order Runge-Kutta integrator.
ThreeEighthesStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.ThreeEighthesStepInterpolator
  Simple constructor.
ThreeEighthesStepInterpolator(ThreeEighthesStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.ThreeEighthesStepInterpolator
  Copy constructor.
threshold - Variable in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
  Threshold.
threshold - Variable in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
  Threshold.
threshold - Variable in class org.apache.commons.math3.linear.QRDecomposition.Solver
  Singularity threshold.
threshold - Variable in class org.apache.commons.math3.linear.QRDecomposition
  Singularity threshold.
THRESHOLD - Static variable in class org.apache.commons.math3.linear.SymmLQ
  Key for the exception context.
throwable - Variable in class org.apache.commons.math3.exception.util.ExceptionContext
  The throwable to which this context refers to.
throwNPDLOException(RealLinearOperator, RealVector) - Static method in class org.apache.commons.math3.linear.SymmLQ.State
  Throws a new `NonPositiveDefiniteOperatorException` with appropriate context.
tiesStrategy - Variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
  Ties strategy - defaults to ties averaged
TiesStrategy - Enum in org.apache.commons.math3.stat.ranking
  Strategies for handling tied values in rank transformations.
TiesStrategy() - Constructor for enum org.apache.commons.math3.stat.ranking.TiesStrategy
time - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
  Time.
times(RealMatrix, RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
times(RealMatrix, RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
TINY - Static variable in class org.apache.commons.math3.linear.SingularValueDecomposition
  Absolute threshold for small singular values.
tMax - Variable in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Upper bound for independent variable.
tMin - Variable in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  Lower bound for independent variable.
tnorm - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  An estimate of the square of the norm of A * V[k], based on Paige and Saunders (1975), equation (3.3).
toArray() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get the vector coordinates as a dimension 3 array.
toArray() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get the vector coordinates as a dimension 2 array.
toArray() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
  Convert the vector to a T array.
toArray() - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Convert the vector to an array of `double`s.
toArray() - Method in interface org.apache.commons.math3.linear.FieldVector
  Convert the vector to a T array.
toArray() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Convert the vector to an array of `double`s.
toArray() - Method in class org.apache.commons.math3.linear.RealVector
  Convert the vector to an array of `double`s.
toArray() - Method in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Convert the vector to a T array.
toBlocksLayout(T[][]) - Static method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Convert a data array from raw layout to blocks layout.
toBlocksLayout(double[][]) - Static method in class org.apache.commons.math3.linear.BlockRealMatrix
  Convert a data array from raw layout to blocks layout.
toDegrees() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Convert radians to degrees, with error of less than 0.5 ULP
toDegrees(double) - Static method in class org.apache.commons.math3.util.FastMath
  Convert radians to degrees, with error of less than 0.5 ULP
toDifferentiableMultivariateFunction(MultivariateDifferentiableFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  this conversion method is temporary in version 3.1, as the `DifferentiableMultivariateFunction` interface itself is deprecated
toDifferentiableMultivariateVectorFunction(MultivariateDifferentiableVectorFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  this conversion method is temporary in version 3.1, as the `DifferentiableMultivariateVectorFunction` interface itself is deprecated
toDifferentiableUnivariateFunction(UnivariateDifferentiableFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  this conversion method is temporary in version 3.1, as the `DifferentiableUnivariateFunction` interface itself is deprecated
toDouble() - Method in class org.apache.commons.math3.dfp.Dfp
  Convert the instance into a double.
tol - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
  Tolerance value for small singular values, calculated once we have populated "singularValues".
tol - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  the tolerance for each of the variables
tol_set - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  has the tolerance setting method been called
tolset() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  This sets up tolerances for singularity testing.
toMultivariateDifferentiableFunction(DifferentiableMultivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  this conversion method is temporary in version 3.1, as the `DifferentiableMultivariateFunction` interface itself is deprecated
toMultivariateDifferentiableVectorFunction(DifferentiableMultivariateVectorFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  this conversion method is temporary in version 3.1, as the `DifferentiableMultivariateFunction` interface itself is deprecated
TooManyEvaluationsException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when the maximal number of evaluations is exceeded.
TooManyEvaluationsException(Number) - Constructor for exception org.apache.commons.math3.exception.TooManyEvaluationsException
  Construct the exception.
TooManyIterationsException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when the maximal number of iterations is exceeded.
TooManyIterationsException(Number) - Constructor for exception org.apache.commons.math3.exception.TooManyIterationsException
  Construct the exception.
top - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
  Top level node.
topDiagonal - Variable in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
  Top diagonal of the divided differences array.
toRadians() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Convert degrees to radians, with error of less than 0.5 ULP
toRadians(double) - Static method in class org.apache.commons.math3.util.FastMath
  Convert degrees to radians, with error of less than 0.5 ULP
toSpace(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Transform a sub-space point into a space point.
toSpace(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Transform an in-plane point into a 3D space point.
toSpace(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Transform a sub-space point into a space point.
toSpace(Vector<T>) - Method in interface org.apache.commons.math3.geometry.partitioning.Embedding
  Transform a sub-space point into a space point.
toSplitDouble() - Method in class org.apache.commons.math3.dfp.Dfp
  Convert the instance into a split double.
toString() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Returns a string representation of the polynomial.
toString(double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Creates a string representing a coefficient, removing ".0" endings.
toString() - Method in class org.apache.commons.math3.complex.Complex
toString() - Method in class org.apache.commons.math3.complex.Quaternion
toString() - Method in class org.apache.commons.math3.dfp.Dfp
  Get a string representation of the instance.
toString() - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
toString() - Method in class org.apache.commons.math3.fraction.BigFraction
  Returns the `String` representing this fraction, ie "num / dem" or just "num" if the denominator is one.
toString() - Method in class org.apache.commons.math3.fraction.Fraction
  Returns the `String` representing this fraction, ie "num / dem" or just "num" if the denominator is one.
toString() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
toString() - Method in class org.apache.commons.math3.genetics.ChromosomePair
toString() - Method in class org.apache.commons.math3.genetics.ListPopulation
toString() - Method in class org.apache.commons.math3.genetics.RandomKey
toString() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get a string representation of this vector.
toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Get a string representation of this vector.
toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Get a string representation of the instance.
toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get a string representation of this vector.
toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Get a string representation of this vector.
toString() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get a string representation of this vector.
toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Get a string representation of this vector.
toString(NumberFormat) - Method in interface org.apache.commons.math3.geometry.Vector
  Get a string representation of this vector.
toString() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Get a string representation for this matrix.
toString() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Get a string representation for this matrix.
toString() - Method in class org.apache.commons.math3.linear.ArrayRealVector
toString() - Method in enum org.apache.commons.math3.optim.linear.Relationship
toString() - Method in enum org.apache.commons.math3.optimization.linear.Relationship
  Deprecated.
toString() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
toString() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
toString() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Generates a text report displaying univariate statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
  Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
  Generates a text report displaying values of statistics.
toString() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
  Generates a text report displaying univariate statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
  Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
  Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.Frequency
  Return a string representation of this frequency distribution.
toString() - Method in class org.apache.commons.math3.util.Decimal64
  The returned `String` is equal to `Double.toString(this.doubleValue())`
toString() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
toSubSpace(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Transform a space point into a sub-space point.
toSubSpace(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Transform a 3D space point into an in-plane point.
toSubSpace(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Transform a space point into a sub-space point.
toSubSpace(Vector<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Embedding
  Transform a space point into a sub-space point.
totalEvaluations - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
  Number of evaluations already performed for all starts.
totalEvaluations - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
  Number of evaluations already performed for all starts.
totalEvaluations - Variable in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
  Deprecated.
  Number of evaluations already performed for all starts.
totalEvaluations - Variable in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
  Deprecated.
  Number of evaluations already performed for all starts.
totalEvaluations - Variable in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Number of evaluations already performed for all starts.
totalSize - Variable in class org.apache.commons.math3.util.MultidimensionalCounter
  Total number of (one-dimensional) slots.
toUnivariateDifferential(DifferentiableUnivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
  Deprecated.
  this conversion method is temporary in version 3.1, as the `DifferentiableUnivariateFunction` interface itself is deprecated
tournament(ListPopulation) - Method in class org.apache.commons.math3.genetics.TournamentSelection
  Helper for `TournamentSelection.select(Population)`.
TournamentSelection - Class in org.apache.commons.math3.genetics
  Tournament selection scheme.
TournamentSelection(int) - Constructor for class org.apache.commons.math3.genetics.TournamentSelection
  Creates a new TournamentSelection instance.
transform(Pair<double[], double[]>, double, double) - Static method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
  Performs a change of variable so that the integration can be performed on an arbitrary interval `[a, b]`.
Transform<S extends Space,T extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
  This interface represents an inversible affine transform in a space.
transform() - Method in class org.apache.commons.math3.linear.HessenbergTransformer
  Transform original matrix to Hessenberg form.
transform() - Method in class org.apache.commons.math3.linear.SchurTransformer
  Transform original matrix to Schur form.
transform() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
  Transform original matrix to tridiagonal form.
transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastCosineTransformer
  Returns the (forward, inverse) transform of the specified real data set.
transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastCosineTransformer
  Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
  Returns the (forward, inverse) transform of the specified real data set.
transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
  Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
transform(Complex[], TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
  Returns the (forward, inverse) transform of the specified complex data set.
transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
  Returns the (forward, inverse) transform of the specified real data set.
transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
  Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
transform(int[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
  Returns the forward transform of the specified integer data set.The integer transform cannot be inverted directly, due to a scaling factor which may lead to double results.
transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastSineTransformer
  Returns the (forward, inverse) transform of the specified real data set.
transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastSineTransformer
  Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
transform(double[], TransformType) - Method in interface org.apache.commons.math3.transform.RealTransformer
  Returns the (forward, inverse) transform of the specified real data set.
transform(UnivariateFunction, double, double, int, TransformType) - Method in interface org.apache.commons.math3.transform.RealTransformer
  Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
transform(Object) - Method in class org.apache.commons.math3.util.DefaultTransformer
transform(Object) - Method in interface org.apache.commons.math3.util.NumberTransformer
  Implementing this interface provides a facility to transform from Object to Double.
transform(Object) - Method in class org.apache.commons.math3.util.TransformerMap
  Attempts to transform the Object against the map of NumberTransformers.
transformer - Variable in class org.apache.commons.math3.linear.EigenDecomposition
  Transformer to tridiagonal (may be null if matrix is already tridiagonal).
transformer - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
  Transformer.
TransformerMap - Class in org.apache.commons.math3.util
  This TansformerMap automates the transformation of mixed object types.
TransformerMap() - Constructor for class org.apache.commons.math3.util.TransformerMap
  Build a map containing only the default transformer.
transformers() - Method in class org.apache.commons.math3.util.TransformerMap
  Returns the Set of NumberTransformers used as values in the map.
transformInPlace(double[][], DftNormalization, TransformType) - Static method in class org.apache.commons.math3.transform.FastFourierTransformer
  Computes the standard transform of the specified complex data.
transformToLowerBiDiagonal() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
  Transform original matrix to lower bi-diagonal form.
transformToSchur(RealMatrix) - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Transforms the matrix to Schur form and calculates the eigenvalues.
transformToTridiagonal(RealMatrix) - Method in class org.apache.commons.math3.linear.EigenDecomposition
  Transforms the matrix to tridiagonal form.
transformToUpperBiDiagonal() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
  Transform original matrix to upper bi-diagonal form.
TransformType - Enum in org.apache.commons.math3.transform
  This enumeration defines the type of transform which is to be computed.
TransformType() - Constructor for enum org.apache.commons.math3.transform.TransformType
TransformUtils - Class in org.apache.commons.math3.transform
  Useful functions for the implementation of various transforms.
TransformUtils() - Constructor for class org.apache.commons.math3.transform.TransformUtils
  Private constructor.
transitionMatrix - Variable in class org.apache.commons.math3.filter.KalmanFilter
  The transition matrix, equivalent to A.
transitionMatrixT - Variable in class org.apache.commons.math3.filter.KalmanFilter
  The transposed transition matrix.
translate(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Translate the plane by the specified amount.
translate(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
  Translate the region by the specified amount.
translateToPoint(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Translate the line to force it passing by a point.
translation - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
  Translation vector.
transpose() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Returns the transpose of this matrix.
transpose() - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Returns the transpose of this matrix.
transpose() - Method in interface org.apache.commons.math3.linear.RealMatrix
  Returns the transpose of this matrix.
transposed - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
  Indicator for transposed matrix.
trap(int, String, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Trap handler.
TRAPEZOID_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
  Maximum number of iterations for trapezoid.
TrapezoidIntegrator - Class in org.apache.commons.math3.analysis.integration
  Implements the Trapezoid Rule for integration of real univariate functions.
TrapezoidIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
  Build a trapezoid integrator with given accuracies and iterations counts.
TrapezoidIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
  Build a trapezoid integrator with given iteration counts.
TrapezoidIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
  Construct a trapezoid integrator with default settings.
tree - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
  Inside/Outside BSP tree.
trialStepPoint - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Trial step from `BOBYQAOptimizer.trustRegionCenterOffset` which is usually `BOBYQAOptimizer.newPoint` - `BOBYQAOptimizer.trustRegionCenterOffset`.
trialStepPoint - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Trial step from `BOBYQAOptimizer.trustRegionCenterOffset` which is usually `BOBYQAOptimizer.newPoint` - `BOBYQAOptimizer.trustRegionCenterOffset`.
TriangularDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the triangular real distribution.
TriangularDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.TriangularDistribution
  Creates a triangular real distribution using the given lower limit, upper limit, and mode.
TriangularDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.TriangularDistribution
  Creates a triangular distribution.
tricube(double) - Static method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Compute the tricube weight function
TricubicSplineFunction - Class in org.apache.commons.math3.analysis.interpolation
  3D-spline function.
TricubicSplineFunction(double[]) - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicSplineFunction
TricubicSplineInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
  Function that implements the tricubic spline interpolation, as proposed in <quote> Tricubic interpolation in three dimensions
  F.
TricubicSplineInterpolatingFunction(double[], double[], double[], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
TricubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Generates a tricubic interpolating function.
TricubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
TriDiagonalTransformer - Class in org.apache.commons.math3.linear
  Class transforming a symmetrical matrix to tridiagonal shape.
TriDiagonalTransformer(RealMatrix) - Constructor for class org.apache.commons.math3.linear.TriDiagonalTransformer
  Build the transformation to tridiagonal shape of a symmetrical matrix.
trigamma(double) - Static method in class org.apache.commons.math3.special.Gamma
  Computes the trigamma function of x.
trigger(int) - Method in class org.apache.commons.math3.optim.BaseOptimizer.MaxEvalCallback
  Function called when the maximal count has been reached.
trigger(int) - Method in class org.apache.commons.math3.optim.BaseOptimizer.MaxIterCallback
  Function called when the maximal count has been reached.
trigger(int) - Method in interface org.apache.commons.math3.util.Incrementor.MaxCountExceededCallback
  Function called when the maximal count has been reached.
trimmedPrefix - Variable in class org.apache.commons.math3.geometry.VectorFormat
  Trimmed prefix.
trimmedPrefix - Variable in class org.apache.commons.math3.linear.RealVectorFormat
  Trimmed prefix.
trimmedSeparator - Variable in class org.apache.commons.math3.geometry.VectorFormat
  Trimmed separator.
trimmedSeparator - Variable in class org.apache.commons.math3.linear.RealVectorFormat
  Trimmed separator.
trimmedSuffix - Variable in class org.apache.commons.math3.geometry.VectorFormat
  Trimmed suffix.
trimmedSuffix - Variable in class org.apache.commons.math3.linear.RealVectorFormat
  Trimmed suffix.
triu(RealMatrix, int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
triu(RealMatrix, int) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
TrivariateFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a trivariate real function.
TrivariateGridInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
  Interface representing a trivariate real interpolating function where the sample points must be specified on a regular grid.
trsbox(double, ArrayRealVector, ArrayRealVector, ArrayRealVector, ArrayRealVector, ArrayRealVector) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  A version of the truncated conjugate gradient is applied.
trsbox(double, ArrayRealVector, ArrayRealVector, ArrayRealVector, ArrayRealVector, ArrayRealVector) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  A version of the truncated conjugate gradient is applied.
trunc(DfpField.RoundingMode) - Method in class org.apache.commons.math3.dfp.Dfp
  Does the integer conversions with the specified rounding.
TRUNC_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
  Name for traps triggered by truncation.
trustRegionCenterInterpolationPointIndex - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Index of the interpolation point at the trust region center.
trustRegionCenterInterpolationPointIndex - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Index of the interpolation point at the trust region center.
trustRegionCenterOffset - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Displacement from `BOBYQAOptimizer.originShift` of the trust region center.
trustRegionCenterOffset - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Displacement from `BOBYQAOptimizer.originShift` of the trust region center.
tryStep(double, double[], double, int, double[], double[][], double[], double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  Perform integration over one step using substeps of a modified midpoint method.
tTest(double, double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
tTest(double, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
tTest(double, StatisticalSummary, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
tTest(double, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
tTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
tTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
tTest(StatisticalSummary, StatisticalSummary, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
tTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
TTest - Class in org.apache.commons.math3.stat.inference
  An implementation for Student's t-tests.
TTest() - Constructor for class org.apache.commons.math3.stat.inference.TTest
tTest(double, double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant `mu`.
tTest(double, double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which `sample` is drawn equals `mu`.
tTest(double, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
  Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by `sampleStats` with the constant `mu`.
tTest(double, StatisticalSummary, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by `stats` is drawn equals `mu`.
tTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
  Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays.
tTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Performs a two-sided t-test evaluating the null hypothesis that `sample1` and `sample2` are drawn from populations with the same mean, with significance level `alpha`.
tTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
  Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances.
tTest(StatisticalSummary, StatisticalSummary, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Performs a two-sided t-test evaluating the null hypothesis that `sampleStats1` and `sampleStats2` describe datasets drawn from populations with the same mean, with significance level `alpha`.
tTest(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes p-value for 2-sided, 1-sample t-test.
tTest(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
  Computes p-value for 2-sided, 2-sample t-test.
two - Variable in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
  The number `2`.
two - Variable in class org.apache.commons.math3.dfp.DfpField
  A `Dfp` with value 2.
TWO - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "2 / 1".
TWO - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "2 / 1".
TWO - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
TWO - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
TWO_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "2/5".
TWO_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "2/5".
TWO_HUNDRED_FIFTY - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
TWO_HUNDRED_FIFTY - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
TWO_PI - Static variable in class org.apache.commons.math3.util.MathUtils
  2 π.
TWO_POWER_52 - Static variable in class org.apache.commons.math3.util.FastMath
  2^52 - double numbers this large must be integral (no fraction) or NaN or Infinite
TWO_POWER_53 - Static variable in class org.apache.commons.math3.util.FastMath
  2^53 - double numbers this large must be even.
TWO_QUARTERS - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "2/4".
TWO_QUARTERS - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "2/4".
TWO_THIRDS - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "2/3".
TWO_THIRDS - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "2/3".

## U

u - Variable in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
  Abscissa axis of the projection plane.
u - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  First vector of the plane frame (in plane).
Ulp - Class in org.apache.commons.math3.analysis.function
  `ulp` function.
Ulp() - Constructor for class org.apache.commons.math3.analysis.function.Ulp
ulp(double) - Static method in class org.apache.commons.math3.util.FastMath
  Compute least significant bit (Unit in Last Position) for a number.
ulp(float) - Static method in class org.apache.commons.math3.util.FastMath
  Compute least significant bit (Unit in Last Position) for a number.
unbounded(int) - Static method in class org.apache.commons.math3.optim.SimpleBounds
  Factory method that creates instance of this class that represents unbounded ranges.
UnboundedSolutionException - Exception in org.apache.commons.math3.optim.linear
  This class represents exceptions thrown by optimizers when a solution escapes to infinity.
UnboundedSolutionException() - Constructor for exception org.apache.commons.math3.optim.linear.UnboundedSolutionException
  Simple constructor using a default message.
UnboundedSolutionException - Exception in org.apache.commons.math3.optimization.linear
  Deprecated.
  As of 3.1 (to be removed in 4.0).
UnboundedSolutionException() - Constructor for exception org.apache.commons.math3.optimization.linear.UnboundedSolutionException
  Deprecated.
  Simple constructor using a default message.
unboundedToBounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerBoundMapper
  Maps a value from unbounded to bounded.
unboundedToBounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
  Maps a value from unbounded to bounded.
unboundedToBounded(double) - Method in interface org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.Mapper
  Maps a value from unbounded to bounded.
unboundedToBounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.NoBoundsMapper
  Maps a value from unbounded to bounded.
unboundedToBounded(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
  Maps an array from unbounded to bounded.
unboundedToBounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.UpperBoundMapper
  Maps a value from unbounded to bounded.
unboundedToBounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerBoundMapper
  Deprecated.
  Map a value from unbounded to bounded.
unboundedToBounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
  Deprecated.
  Map a value from unbounded to bounded.
unboundedToBounded(double) - Method in interface org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.Mapper
  Deprecated.
  Map a value from unbounded to bounded.
unboundedToBounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.NoBoundsMapper
  Deprecated.
  Map a value from unbounded to bounded.
unboundedToBounded(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
  Deprecated.
  Map an array from unbounded to bounded.
unboundedToBounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.UpperBoundMapper
  Deprecated.
  Map a value from unbounded to bounded.
unboundingFunction - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
  Function from bounded to unbounded.
unboundingFunction - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
  Deprecated.
  Function from bounded to unbounded.
UncorrelatedRandomVectorGenerator - Class in org.apache.commons.math3.random
  A `RandomVectorGenerator` that generates vectors with uncorrelated components.
UncorrelatedRandomVectorGenerator(double[], double[], NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
  Simple constructor.
UncorrelatedRandomVectorGenerator(int, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
  Simple constructor.
unequal(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
  Check if instance is not equal to x.
uniCounterOffset - Variable in class org.apache.commons.math3.util.MultidimensionalCounter
  Offset for each dimension.
UNIFORM_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
  Uniform random deviates with mean = μ.
UniformCrossover<T> - Class in org.apache.commons.math3.genetics
  Perform Uniform Crossover [UX] on the specified chromosomes.
UniformCrossover(double) - Constructor for class org.apache.commons.math3.genetics.UniformCrossover
  Creates a new `UniformCrossover` policy using the given mixing ratio.
UniformIntegerDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the uniform integer distribution.
UniformIntegerDistribution(int, int) - Constructor for class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).
UniformIntegerDistribution(RandomGenerator, int, int) - Constructor for class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).
UniformRandomGenerator - Class in org.apache.commons.math3.random
  This class implements a normalized uniform random generator.
UniformRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.UniformRandomGenerator
  Create a new generator.
UniformRealDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the uniform real distribution.
UniformRealDistribution() - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
  Create a standard uniform real distribution with lower bound (inclusive) equal to zero and upper bound (exclusive) equal to one.
UniformRealDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
  Create a uniform real distribution using the given lower and upper bounds.
UniformRealDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
  Create a uniform distribution.
UniformRealDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
  Creates a uniform distribution.
union(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Compute the union of two regions.
unitize() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Converts this vector into a unit vector.
unitize() - Method in class org.apache.commons.math3.linear.RealVector
  Converts this vector into a unit vector.
UnitSphereRandomVectorGenerator - Class in org.apache.commons.math3.random
  Generate random vectors isotropically located on the surface of a sphere.
UnitSphereRandomVectorGenerator(int, RandomGenerator) - Constructor for class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
UnitSphereRandomVectorGenerator(int) - Constructor for class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
  Create an object that will use a default RNG (`MersenneTwister`), in order to generate the individual components.
unitVector() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Creates a unit vector pointing in the direction of this vector.
unitVector() - Method in class org.apache.commons.math3.linear.RealVector
  Creates a unit vector pointing in the direction of this vector.
UnivariateDfpFunction - Interface in org.apache.commons.math3.dfp
  An interface representing a univariate `Dfp` function.
UnivariateDifferentiableFunction - Interface in org.apache.commons.math3.analysis.differentiation
  Interface for univariate functions derivatives.
UnivariateDifferentiableMatrixFunction - Interface in org.apache.commons.math3.analysis.differentiation
  Extension of `UnivariateMatrixFunction` representing a univariate differentiable matrix function.
UnivariateDifferentiableSolver - Interface in org.apache.commons.math3.analysis.solvers
  Interface for (univariate real) rootfinding algorithms.
UnivariateDifferentiableVectorFunction - Interface in org.apache.commons.math3.analysis.differentiation
  Extension of `UnivariateVectorFunction` representing a univariate differentiable vectorial function.
UnivariateFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a univariate real function.
UnivariateFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation
  Interface defining the function differentiation operation.
UnivariateIntegrator - Interface in org.apache.commons.math3.analysis.integration
  Interface for univariate real integration algorithms.
UnivariateInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
  Interface representing a univariate real interpolating function.
UnivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a univariate matrix function.
UnivariateMatrixFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation
  Interface defining the function differentiation operation.
UnivariateMultiStartOptimizer<FUNC extends UnivariateFunction> - Class in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
UnivariateMultiStartOptimizer(BaseUnivariateOptimizer<FUNC>, int, RandomGenerator) - Constructor for class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
  Deprecated.
  Create a multi-start optimizer from a single-start optimizer.
UnivariateObjectiveFunction - Class in org.apache.commons.math3.optim.univariate
  Scalar function to be optimized.
UnivariateObjectiveFunction(UnivariateFunction) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariateObjectiveFunction
UnivariateOptimizer - Class in org.apache.commons.math3.optim.univariate
  Base class for a univariate scalar function optimizer.
UnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
UnivariateOptimizer - Interface in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
UnivariatePeriodicInterpolator - Class in org.apache.commons.math3.analysis.interpolation
  Adapter for classes implementing the `UnivariateInterpolator` interface.
UnivariatePeriodicInterpolator(UnivariateInterpolator, double, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
  Builds an interpolator.
UnivariatePeriodicInterpolator(UnivariateInterpolator, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
  Builds an interpolator.
UnivariatePointValuePair - Class in org.apache.commons.math3.optim.univariate
  This class holds a point and the value of an objective function at this point.
UnivariatePointValuePair(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
  Build a point/objective function value pair.
UnivariatePointValuePair - Class in org.apache.commons.math3.optimization.univariate
  Deprecated.
  As of 3.1 (to be removed in 4.0).
UnivariatePointValuePair(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
  Deprecated.
  Build a point/objective function value pair.
UnivariateSolver - Interface in org.apache.commons.math3.analysis.solvers
  Interface for (univariate real) root-finding algorithms.
UnivariateSolverUtils - Class in org.apache.commons.math3.analysis.solvers
  Utility routines for `UnivariateSolver` objects.
UnivariateSolverUtils() - Constructor for class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Class contains only static methods.
UnivariateStatistic - Interface in org.apache.commons.math3.stat.descriptive
  Base interface implemented by all statistics.
UnivariateVectorFunction - Interface in org.apache.commons.math3.analysis
  An interface representing a univariate vectorial function.
UnivariateVectorFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation
  Interface defining the function differentiation operation.
UnknownParameterException - Exception in org.apache.commons.math3.ode
  Exception to be thrown when a parameter is unknown.
UnknownParameterException(String) - Constructor for exception org.apache.commons.math3.ode.UnknownParameterException
  Construct an exception from the unknown parameter.
unlimited() - Static method in class org.apache.commons.math3.optim.MaxEval
  Factory method that creates instance of this class that represents a virtually unlimited number of evaluations.
unlimited() - Static method in class org.apache.commons.math3.optim.MaxIter
  Factory method that creates instance of this class that represents a virtually unlimited number of iterations.
unmodifiableRealVector(RealVector) - Static method in class org.apache.commons.math3.linear.RealVector
  Returns an unmodifiable view of the specified vector.
update() - Method in class org.apache.commons.math3.linear.SymmLQ.State
  Performs the next iteration of the algorithm.
update - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
  Update matrix for the higher order derivatives h2/2y'', h3/6 y''' ...
update(double, double, int) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  The arrays BMAT and ZMAT are updated, as required by the new position of the interpolation point that has the index KNEW.
update(double, double, int) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  The arrays BMAT and ZMAT are updated, as required by the new position of the interpolation point that has the index KNEW.
updateBandwidthInterval(double[], double[], int, int[]) - Static method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  Given an index interval into xval that embraces a certain number of points closest to `xval[i-1]`, update the interval so that it embraces the same number of points closest to `xval[i]`, ignoring zero weights.
updateBD(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Update B and D from C.
updateBD(double) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Update B and D from C.
updateCovariance(boolean, RealMatrix, RealMatrix, int[], RealMatrix) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Update of the covariance matrix C.
updateCovariance(boolean, RealMatrix, RealMatrix, int[], RealMatrix) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Update of the covariance matrix C.
updateCovarianceDiagonalOnly(boolean, RealMatrix) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Update of the covariance matrix C for diagonalOnly > 0
updateCovarianceDiagonalOnly(boolean, RealMatrix) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Update of the covariance matrix C for diagonalOnly > 0
updateEvolutionPaths(RealMatrix, RealMatrix) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Update of the evolution paths ps and pc.
updateEvolutionPaths(RealMatrix, RealMatrix) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Update of the evolution paths ps and pc.
updateFormula - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
  Update formula for the beta parameter.
updateFormula - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
  Deprecated.
  Update formula for the beta parameter.
updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
  Update the high order scaled derivatives for Adams integrators (phase 1).
updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
  Update the high order scaled derivatives for Adams integrators (phase 1).
updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
  Update the high order scaled derivatives Adams integrators (phase 2).
updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
  Update the high order scaled derivatives Adams integrators (phase 2).
updateJacobian() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Please use `AbstractLeastSquaresOptimizer.computeWeightedJacobian(double[])` instead.
updateNorms() - Method in class org.apache.commons.math3.linear.SymmLQ.State
  Computes the norms of the residuals, and checks for convergence.
updateResidualsAndCost() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. Please use `AbstractLeastSquaresOptimizer.computeResiduals(double[])`, `BaseAbstractMultivariateVectorOptimizer.computeObjectiveValue(double[])`, `AbstractLeastSquaresOptimizer.computeCost(double[])` and `AbstractLeastSquaresOptimizer.setCost(double)` instead.
UpdatingMultipleLinearRegression - Interface in org.apache.commons.math3.stat.regression
  An interface for regression models allowing for dynamic updating of the data.
upper - Variable in class org.apache.commons.math3.distribution.UniformIntegerDistribution
  Upper bound (inclusive) of this distribution.
upper - Variable in class org.apache.commons.math3.distribution.UniformRealDistribution
  Upper bound of this distribution (exclusive).
upper - Variable in class org.apache.commons.math3.geometry.euclidean.oned.Interval
  The upper bound of the interval.
upper - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.UpperBoundMapper
  Upper bound.
upper - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
  Upper bounds.
upper - Variable in class org.apache.commons.math3.optim.SimpleBounds
  Upper bounds.
upper - Variable in class org.apache.commons.math3.optim.univariate.SearchInterval
  Upper bound.
upper - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.UpperBoundMapper
  Deprecated.
  Upper bound.
upper - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
  Deprecated.
  Upper bounds.
upper - Variable in class org.apache.commons.math3.optimization.SimpleBounds
  Deprecated.
  Upper bounds.
upperBound - Variable in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
  Upper bounds.
upperBound - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  Deprecated.
  Upper bounds.
upperBounds - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
  upper bounds of subintervals in (0,1) "belonging" to the bins
upperCumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
  For this distribution, `X`, this method returns `P(X >= x)`.
upperDifference - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Differences `BaseMultivariateOptimizer.getUpperBound()` - `BOBYQAOptimizer.originShift` All the components of every `BOBYQAOptimizer.trustRegionCenterOffset` are going to satisfy the bounds
  `BOBYQAOptimizer.trustRegionCenterOffset`i ≤ `upperBound`i,
  with appropriate equalities when `BOBYQAOptimizer.trustRegionCenterOffset` is on a constraint boundary.
upperDifference - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Differences `BaseAbstractMultivariateSimpleBoundsOptimizer.getUpperBound()` - `BOBYQAOptimizer.originShift` All the components of every `BOBYQAOptimizer.trustRegionCenterOffset` are going to satisfy the bounds
  `BOBYQAOptimizer.trustRegionCenterOffset`i ≤ `upperBound`i,
  with appropriate equalities when `BOBYQAOptimizer.trustRegionCenterOffset` is on a constraint boundary.
UPSIDE_VARIANCE - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  The UPSIDE Direction is used to specify that the observations above the cutoff point will be used to calculate SemiVariance.
useInterpolationError - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
  use interpolation error in stepsize control.
useLU - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
  Indicator for using LU decomposition.
useLU - Variable in class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
  Deprecated.
  Indicator for using LU decomposition.

## V

v - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.JacobiKey
  First exponent.
v - Variable in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
  Ordinate axis of the projection plane.
v - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Second vector of the plane frame (in plane).
v - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Vectors for interpolation.
v - Variable in class org.apache.commons.math3.random.AbstractWell
  Bytes pool.
v1 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  First vector for interpolation.
v2 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Second vector for interpolation.
v3 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Third vector for interpolation.
v4 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Fourth vector for interpolation.
validateCovarianceData(double[][], double[][]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Validates that the x data and covariance matrix have the same number of rows and that the covariance matrix is square.
validateParameters(double[]) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric
  Validates parameters to ensure they are appropriate for the evaluation of the `Gaussian.Parametric.value(double,double[])` and `Gaussian.Parametric.gradient(double,double[])` methods.
validateParameters(double[]) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
  Validates parameters to ensure they are appropriate for the evaluation of the `HarmonicOscillator.Parametric.value(double,double[])` and `HarmonicOscillator.Parametric.gradient(double,double[])` methods.
validateParameters(double[]) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric
  Validates parameters to ensure they are appropriate for the evaluation of the `Logistic.Parametric.value(double,double[])` and `Logistic.Parametric.gradient(double,double[])` methods.
validateParameters(double[]) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric
  Validates parameters to ensure they are appropriate for the evaluation of the `Logit.Parametric.value(double,double[])` and `Logit.Parametric.gradient(double,double[])` methods.
validateParameters(double[]) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
  Validates parameters to ensure they are appropriate for the evaluation of the `Sigmoid.Parametric.value(double,double[])` and `Sigmoid.Parametric.gradient(double,double[])` methods.
validateSampleData(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Validates sample data.
value(double, double) - Method in interface org.apache.commons.math3.analysis.BivariateFunction
  Compute the value for the function.
value(double[]) - Method in class org.apache.commons.math3.analysis.differentiation.GradientFunction
  Compute the value for the function at the given point.
value(double[]) - Method in class org.apache.commons.math3.analysis.differentiation.JacobianFunction
  Compute the value for the function at the given point.
value(DerivativeStructure[]) - Method in interface org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableFunction
  Compute the value for the function at the given point.
value(DerivativeStructure[]) - Method in interface org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction
  Compute the value for the function at the given point.
value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction
  Simple mathematical function.
value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableMatrixFunction
  Compute the value for the function.
value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableVectorFunction
  Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Abs
  Compute the value of the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Acos
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Acos
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Acosh
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Acosh
  Simple mathematical function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Add
  Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Asin
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Asin
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Asinh
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Asinh
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Atan
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Atan
  Simple mathematical function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Atan2
  Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Atanh
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Atanh
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Cbrt
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cbrt
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Ceil
  Compute the value of the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Constant
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Constant
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Cos
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cos
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Cosh
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cosh
  Simple mathematical function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Divide
  Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Exp
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Exp
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Expm1
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Expm1
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Floor
  Compute the value of the function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric
  Computes the value of the Gaussian at `x`.
value(double) - Method in class org.apache.commons.math3.analysis.function.Gaussian
  Compute the value of the function.
value(double, double, double) - Static method in class org.apache.commons.math3.analysis.function.Gaussian
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Gaussian
  Simple mathematical function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
  Computes the value of the harmonic oscillator at `x`.
value(double) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
  Compute the value of the function.
value(double, double) - Static method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Identity
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Identity
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Inverse
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Inverse
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Log
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Log10
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log10
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Log1p
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log1p
  Simple mathematical function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric
  Computes the value of the sigmoid at `x`.
value(double) - Method in class org.apache.commons.math3.analysis.function.Logistic
  Compute the value of the function.
value(double, double, double, double, double, double) - Static method in class org.apache.commons.math3.analysis.function.Logistic
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Logistic
  Simple mathematical function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric
  Computes the value of the logit at `x`.
value(double) - Method in class org.apache.commons.math3.analysis.function.Logit
  Compute the value of the function.
value(double, double, double) - Static method in class org.apache.commons.math3.analysis.function.Logit
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Logit
  Simple mathematical function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Max
  Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Min
  Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Minus
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Minus
  Simple mathematical function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Multiply
  Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Pow
  Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Power
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Power
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Rint
  Compute the value of the function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
  Computes the value of the sigmoid at `x`.
value(double) - Method in class org.apache.commons.math3.analysis.function.Sigmoid
  Compute the value of the function.
value(double, double, double) - Static method in class org.apache.commons.math3.analysis.function.Sigmoid
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sigmoid
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Signum
  Compute the value of the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Sin
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sin
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Sinc
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sinc
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Sinh
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sinh
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Sqrt
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sqrt
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.StepFunction
  Compute the value of the function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Subtract
  Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Tan
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Tan
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Tanh
  Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Tanh
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Ulp
  Compute the value of the function.
value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
  Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
  Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
  Interpolate value at a specified abscissa.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
  Interpolate value at a specified abscissa.
value(double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
value(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineFunction
value(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
  Compute the value for the function.
value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateFunction
  Compute the value for the function at the given point.
value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateMatrixFunction
  Compute the value for the function at the given point.
value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateVectorFunction
  Compute the value for the function at the given point.
value(double, double...) - Method in interface org.apache.commons.math3.analysis.ParametricUnivariateFunction
  Compute the value of the function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
  Compute the value of the function.
value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Compute the value of the function for the given argument.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Calculate the function value at the given point.
value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Calculate the function value at the given point.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Compute the value for the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
  Simple mathematical function.
value(double, double, double) - Method in interface org.apache.commons.math3.analysis.TrivariateFunction
  Compute the value for the function.
value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateFunction
  Compute the value of the function.
value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateMatrixFunction
  Compute the value for the function.
value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateVectorFunction
  Compute the value for the function.
value(Dfp) - Method in interface org.apache.commons.math3.dfp.UnivariateDfpFunction
  Compute the value of the function.
value - Variable in class org.apache.commons.math3.optim.linear.LinearConstraint
  Value of the constraint (right hand side).
value(double[]) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
  Computes the value of the linear equation at the current point.
value(RealVector) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
  Computes the value of the linear equation at the current point.
value(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.LineSearchFunction
  Compute the value of the function.
value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
  Compute the value for the function at the given point.
value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
  Compute the underlying function value from an unbounded point.
value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
  Computes the underlying function value from an unbounded point.
value - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
  Value to compare.
value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
value - Variable in class org.apache.commons.math3.optim.PointValuePair.DataTransferObject
  Value of the objective function at the point.
value - Variable in class org.apache.commons.math3.optim.PointVectorValuePair.DataTransferObject
  Value of the objective function at the point.
value - Variable in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
  Value of the objective function at the point.
value - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
  Deprecated.
  Value to compare.
value(double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
  Deprecated.
value(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
  Deprecated.
  Compute the underlying function value from an unbounded point.
value(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
  Deprecated.
  Compute the underlying function value from an unbounded point.
value(double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter.OldTheoreticalValuesFunction
  Deprecated.
  Compute the value for the function at the given point.
value(double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter.TheoreticalValuesFunction
  Deprecated.
  Compute the value for the function at the given point.
value(DerivativeStructure[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter.TheoreticalValuesFunction
  Deprecated.
  Compute the value for the function at the given point.
value(double) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.LineSearchFunction
  Deprecated.
  Compute the value of the function.
value(double[]) - Method in class org.apache.commons.math3.optimization.LeastSquaresConverter
  Deprecated.
  Compute the value for the function at the given point.
value - Variable in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Value of the constraint (right hand side).
value - Variable in class org.apache.commons.math3.optimization.PointValuePair.DataTransferObject
  Deprecated.
  Value of the objective function at the point.
value - Variable in class org.apache.commons.math3.optimization.PointVectorValuePair.DataTransferObject
  Deprecated.
  Value of the objective function at the point.
value - Variable in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
  Deprecated.
  Value of the objective function at the point.
value - Variable in class org.apache.commons.math3.stat.descriptive.rank.Max
  Current value of the statistic
value - Variable in class org.apache.commons.math3.stat.descriptive.rank.Min
  Current value of the statistic
value - Variable in class org.apache.commons.math3.stat.descriptive.summary.Product
  The current Running Product.
value - Variable in class org.apache.commons.math3.stat.descriptive.summary.Sum
  The currently running sum.
value - Variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
  The currently running value
value - Variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
  The currently running sumSq
value - Variable in class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
  Value of the pair
value - Variable in class org.apache.commons.math3.util.Decimal64
  The primitive `double` value of this object.
value() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
  Get the value of current entry.
value() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
  Get the value of current entry.
value - Variable in class org.apache.commons.math3.util.Pair
  Value.
valueOf(String) - Static method in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
  Returns the enum constant of this type with the specified name.
valueOf(double, double) - Static method in class org.apache.commons.math3.complex.Complex
  Create a complex number given the real and imaginary parts.
valueOf(double) - Static method in class org.apache.commons.math3.complex.Complex
  Create a complex number given only the real part.
valueOf(String) - Static method in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.exception.util.LocalizedFormats
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.Region.Location
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.Side
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Skew
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.EventHandler.Action
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optim.linear.Relationship
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
  Deprecated.
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optimization.GoalType
  Deprecated.
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optimization.linear.Relationship
  Deprecated.
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.stat.clustering.DBSCANClusterer.PointStatus
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.stat.ranking.NaNStrategy
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.stat.ranking.TiesStrategy
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.transform.DctNormalization
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.transform.DftNormalization
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.transform.DstNormalization
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.transform.TransformType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.util.MathArrays.OrderDirection
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
  Returns the enum constant of this type with the specified name.
valueRange - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
  Determines the penalty for boundary violations
valueRange - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
  Deprecated.
  Determines the penalty for boundary violations
values() - Static method in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.exception.util.LocalizedFormats
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.geometry.partitioning.Region.Location
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.geometry.partitioning.Side
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Skew
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.ode.events.EventHandler.Action
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optim.linear.Relationship
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
  Deprecated.
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optimization.GoalType
  Deprecated.
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optimization.linear.Relationship
  Deprecated.
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.stat.clustering.DBSCANClusterer.PointStatus
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.stat.ranking.NaNStrategy
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.stat.ranking.TiesStrategy
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.transform.DctNormalization
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.transform.DftNormalization
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.transform.DstNormalization
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.transform.TransformType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.util.MathArrays.OrderDirection
  Returns an array containing the constants of this enum type, in the order they are declared.
values - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
  Values table.
values - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
  Values table.
values() - Static method in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
  Returns an array containing the constants of this enum type, in the order they are declared.
ValueServer - Class in org.apache.commons.math3.random
  Generates values for use in simulation applications.
ValueServer() - Constructor for class org.apache.commons.math3.random.ValueServer
  Creates new ValueServer
ValueServer(RandomDataImpl) - Constructor for class org.apache.commons.math3.random.ValueServer
  Deprecated.
  use `ValueServer.ValueServer(RandomGenerator)`
ValueServer(RandomGenerator) - Constructor for class org.apache.commons.math3.random.ValueServer
  Construct a ValueServer instance using a RandomGenerator as its source of random data.
valuesFileURL - Variable in class org.apache.commons.math3.random.ValueServer
  URI to raw data values.
valuesIterator() - Method in class org.apache.commons.math3.stat.Frequency
  Returns an Iterator over the set of values that have been added.
varCovData - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
  variance covariance matrix of parameters
variables - Variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
  Number of variables.
variance - Variable in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
  Wrapped Variance instance
Variance - Class in org.apache.commons.math3.stat.descriptive.moment
  Computes the variance of the available values.
Variance() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
  Constructs a Variance with default (true) `isBiasCorrected` property.
Variance(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
  Constructs a Variance based on an external second moment.
Variance(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
  Constructs a Variance with the specified `isBiasCorrected` property
Variance(boolean, SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
  Constructs a Variance with the specified `isBiasCorrected` property and the supplied external second moment.
Variance(Variance) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
  Copy constructor, creates a new `Variance` identical to the `original`
variance - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
  The sample variance
variance - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  variance of values that have been added
VARIANCE - Static variable in class org.apache.commons.math3.stat.StatUtils
  variance
variance(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the variance of the entries in the input array, or `Double.NaN` if the array is empty.
variance(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the variance of the entries in the specified portion of the input array, or `Double.NaN` if the designated subarray is empty.
variance(double[], double, int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
variance(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the variance of the entries in the input array, using the precomputed mean value.
varianceDifference(double[], double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
  Returns the variance of the (signed) differences between corresponding elements of the input arrays -- i.e., var(sample1[i] - sample2[i]).
varianceDirection - Variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
  Determines whether to calculate downside or upside SemiVariance.
varianceImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  Variance statistic implementation - can be reset by setter.
varianceImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
  Variance statistic implementation - can be reset by setter.
vecAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Allowed absolute vectorial error.
vecRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
  Allowed relative vectorial error.
Vector<S extends Space> - Interface in org.apache.commons.math3.geometry
  This interface represents a generic vector in a vectorial space or a point in an affine space.
VECTOR - Static variable in class org.apache.commons.math3.linear.ConjugateGradient
  Key for the exception context.
VECTOR - Static variable in class org.apache.commons.math3.linear.SymmLQ
  Key for the exception context.
VECTOR1 - Static variable in class org.apache.commons.math3.linear.SymmLQ
  Key for the exception context.
Vector1D - Class in org.apache.commons.math3.geometry.euclidean.oned
  This class represents a 1D vector.
Vector1D(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Simple constructor.
Vector1D(double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Multiplicative constructor Build a vector from another one and a scale factor.
Vector1D(double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Linear constructor Build a vector from two other ones and corresponding scale factors.
Vector1D(double, Vector1D, double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Linear constructor Build a vector from three other ones and corresponding scale factors.
Vector1D(double, Vector1D, double, Vector1D, double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Linear constructor Build a vector from four other ones and corresponding scale factors.
Vector1DFormat - Class in org.apache.commons.math3.geometry.euclidean.oned
  Formats a 1D vector in components list format "{x}".
Vector1DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Create an instance with default settings.
Vector1DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Create an instance with a custom number format for components.
Vector1DFormat(String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Create an instance with custom prefix, suffix and separator.
Vector1DFormat(String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
  Create an instance with custom prefix, suffix, separator and format for components.
VECTOR2 - Static variable in class org.apache.commons.math3.linear.SymmLQ
  Key for the exception context.
Vector2D - Class in org.apache.commons.math3.geometry.euclidean.twod
  This class represents a 2D vector.
Vector2D(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Simple constructor.
Vector2D(double[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Simple constructor.
Vector2D(double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Multiplicative constructor Build a vector from another one and a scale factor.
Vector2D(double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Linear constructor Build a vector from two other ones and corresponding scale factors.
Vector2D(double, Vector2D, double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Linear constructor Build a vector from three other ones and corresponding scale factors.
Vector2D(double, Vector2D, double, Vector2D, double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Linear constructor Build a vector from four other ones and corresponding scale factors.
Vector2DFormat - Class in org.apache.commons.math3.geometry.euclidean.twod
  Formats a 2D vector in components list format "{x; y}".
Vector2DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Create an instance with default settings.
Vector2DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Create an instance with a custom number format for components.
Vector2DFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Create an instance with custom prefix, suffix and separator.
Vector2DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
  Create an instance with custom prefix, suffix, separator and format for components.
Vector3D - Class in org.apache.commons.math3.geometry.euclidean.threed
  This class implements vectors in a three-dimensional space.
Vector3D(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Simple constructor.
Vector3D(double[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Simple constructor.
Vector3D(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Simple constructor.
Vector3D(double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Multiplicative constructor Build a vector from another one and a scale factor.
Vector3D(double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Linear constructor Build a vector from two other ones and corresponding scale factors.
Vector3D(double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Linear constructor Build a vector from three other ones and corresponding scale factors.
Vector3D(double, Vector3D, double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Linear constructor Build a vector from four other ones and corresponding scale factors.
Vector3DFormat - Class in org.apache.commons.math3.geometry.euclidean.threed
  Formats a 3D vector in components list format "{x; y; z}".
Vector3DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Create an instance with default settings.
Vector3DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Create an instance with a custom number format for components.
Vector3DFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Create an instance with custom prefix, suffix and separator.
Vector3DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
  Create an instance with custom prefix, suffix, separator and format for components.
VectorFormat<S extends Space> - Class in org.apache.commons.math3.geometry
  Formats a vector in components list format "{x; y; ...}".
VectorFormat() - Constructor for class org.apache.commons.math3.geometry.VectorFormat
  Create an instance with default settings.
VectorFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
  Create an instance with a custom number format for components.
VectorFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
  Create an instance with custom prefix, suffix and separator.
VectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
  Create an instance with custom prefix, suffix, separator and format for components.
VectorialCovariance - Class in org.apache.commons.math3.stat.descriptive.moment
  Returns the covariance matrix of the available vectors.
VectorialCovariance(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
  Constructs a VectorialCovariance.
VectorialMean - Class in org.apache.commons.math3.stat.descriptive.moment
  Returns the arithmetic mean of the available vectors.
VectorialMean(int) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
  Constructs a VectorialMean.
vectorsInitialized - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
  Initialization indicator for the interpolation vectors.
vectorsInitialized - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Initialization indicator for the interpolation vectors.
verifyBracketing(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Check that the endpoints specify an interval and the function takes opposite signs at the endpoints.
verifyBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Check that the endpoints specify an interval and the end points bracket a root.
verifyInputArray(double[], double[]) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
  Verifies that the input arrays are valid.
verifyInterpolationArray(double[], double[], boolean) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Check that the interpolation arrays are valid.
verifyInterval(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Check that the endpoints specify an interval.
verifyInterval(double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Check that the endpoints specify an interval.
verifySequence(double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
  Check that `lower < initial < upper`.
verifySequence(double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
  Check that `lower < initial < upper`.
vertices - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Vertices organized as boundary loops.
verticesToTree(double, Vector2D...) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
  Build the BSP tree of a polygons set from a simple list of vertices.
virtualSize - Variable in class org.apache.commons.math3.linear.OpenMapRealVector
  Deprecated.
  Dimension of the vector.
virtualSize - Variable in class org.apache.commons.math3.linear.SparseFieldVector
  Deprecated.
  Dimension of the vector.
visit(BSPTreeVisitor<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
  Visit the BSP tree nodes.
visit(int, int, T) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
  Visit one matrix entry.
visit(int, int, T) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
  Visit one matrix entry.
visit(int, int, double) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
  Visit one matrix entry.
visit(int, int, double) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
  Visit one matrix entry.
visit(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
  Visit one matrix entry.
visit(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
  Visit one matrix entry.
visit(int, int, BigFraction) - Method in class org.apache.commons.math3.linear.MatrixUtils.BigFractionMatrixConverter
  Visit one matrix entry.
visit(int, int, Fraction) - Method in class org.apache.commons.math3.linear.MatrixUtils.FractionMatrixConverter
  Visit one matrix entry.
visit(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
  Visit one matrix entry.
visit(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
  Visit one matrix entry.
visit(int, double) - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
  Visit one entry of the vector.
visit(int, double) - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
  Visit one entry of the vector.
visit(int, int, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
  Visit one matrix entry.
visitInternalNode(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
  Visit a BSP tree node node having a non-null sub-hyperplane.
visitInternalNode(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.FacetsContributionVisitor
  Visit a BSP tree node node having a non-null sub-hyperplane.
visitInternalNode(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
  Visit a BSP tree node node having a non-null sub-hyperplane.
visitInternalNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.BoundaryBuilder
  Visit a BSP tree node node having a non-null sub-hyperplane.
visitInternalNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
  Visit a BSP tree node node having a non-null sub-hyperplane.
visitInternalNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
  Visit a BSP tree node node having a non-null sub-hyperplane.
visitInternalNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.NodesCleaner
  Visit a BSP tree node node having a non-null sub-hyperplane.
visitLeafNode(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
  Visit a leaf BSP tree node node having a null sub-hyperplane.
visitLeafNode(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.FacetsContributionVisitor
  Visit a leaf BSP tree node node having a null sub-hyperplane.
visitLeafNode(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
  Visit a leaf BSP tree node node having a null sub-hyperplane.
visitLeafNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.BoundaryBuilder
  Visit a leaf BSP tree node node having a null sub-hyperplane.
visitLeafNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
  Visit a leaf BSP tree node node having a null sub-hyperplane.
visitLeafNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
  Visit a leaf BSP tree node node having a null sub-hyperplane.
visitLeafNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.NodesCleaner
  Visit a leaf BSP tree node node having a null sub-hyperplane.
visitOrder(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
  Determine the visit order for this node.
visitOrder(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.FacetsContributionVisitor
  Determine the visit order for this node.
visitOrder(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
  Determine the visit order for this node.
visitOrder(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion.BoundaryBuilder
  Determine the visit order for this node.
visitOrder(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
  Determine the visit order for this node.
visitOrder(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
  Determine the visit order for this node.
visitOrder(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.NodesCleaner
  Determine the visit order for this node.
vmove(int, int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  ALGORITHM AS274 APPL.
vorder - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  order of the regressors

## W

w - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.JacobiKey
  Second exponent.
w - Variable in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
  Normal of the projection plane (viewing direction).
w - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Third vector of the plane frame (plane normal).
w - Variable in class org.apache.commons.math3.linear.SchurTransformer.ShiftInfo
  w shift info
W_SUB_N_I - Static variable in class org.apache.commons.math3.transform.FastFourierTransformer
  `W_SUB_N_I[i]` is the imaginary part of `exp(- 2 * i * pi / n)`: `W_SUB_N_I[i] = -sin(2 * pi/ n)`, where `n = 2^i`.
W_SUB_N_R - Static variable in class org.apache.commons.math3.transform.FastFourierTransformer
  `W_SUB_N_R[i]` is the real part of `exp(- 2 * i * pi / n)`: `W_SUB_N_R[i] = cos(2 * pi/ n)`, where `n = 2^i`.
walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (but don't change) some matrix entries in column order.
walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (but does not alter) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (but does not alter) some entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (and possibly alters) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (and possibly alters) some entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (but does not alter) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (but does not alter) some entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (and possibly alters) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (and possibly alters) some entries of this vector in default order (increasing index).
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (but does not alter) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (but does not alter) some entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (and possibly alters) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
  Visits (and possibly change) some entries of this vector in optimized order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (but does not alter) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (but does not alter) some entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (and possibly alters) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
  Visits (and possibly change) some entries of this vector in optimized order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
  Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
  Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
  Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
  Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
  Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
  Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
  Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
  Visit (but don't change) some matrix entries in row order.
wbar - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of P' * wbar[k] or P' * (wbar[k] - s[1] * ...
WeibullDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the Weibull distribution.
WeibullDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
  Create a Weibull distribution with the given shape and scale and a location equal to zero.
WeibullDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
  Create a Weibull distribution with the given shape, scale and inverse cumulative probability accuracy and a location equal to zero.
WeibullDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
  Creates a Weibull distribution.
weight - Variable in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
  Normalized weight of each mixture component.
weight - Variable in class org.apache.commons.math3.fitting.WeightedObservedPoint
  Weight of the measurement in the fitting process.
Weight - Class in org.apache.commons.math3.optim.nonlinear.vector
  Weight matrix of the residuals between model and observations.
Weight(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Weight
  Creates a diagonal weight matrix.
Weight(RealMatrix) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Weight
weight - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
weight - Variable in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
  Deprecated.
  Weight of the measurement in the fitting process.
Weight - Class in org.apache.commons.math3.optimization
  Deprecated.
  As of 3.1 (to be removed in 4.0).
Weight(double[]) - Constructor for class org.apache.commons.math3.optimization.Weight
  Deprecated.
  Creates a diagonal weight matrix.
Weight(RealMatrix) - Constructor for class org.apache.commons.math3.optimization.Weight
  Deprecated.
WeightedEvaluation - Interface in org.apache.commons.math3.stat.descriptive
  Weighted evaluation for statistics.
weightedJacobian - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Weighted Jacobian.
weightedJacobian - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Weighted Jacobian.
WeightedObservedPoint - Class in org.apache.commons.math3.fitting
  This class is a simple container for weighted observed point in `curve fitting`.
WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math3.fitting.WeightedObservedPoint
  Simple constructor.
WeightedObservedPoint - Class in org.apache.commons.math3.optimization.fitting
  Deprecated.
  As of 3.1 (to be removed in 4.0).
WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
  Deprecated.
  Simple constructor.
weightedResidual - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
  Weighted residuals.
weightedResidual - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
  Deprecated.
  Weighted residuals.
weightedResidualJacobian - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1. To be removed in 4.0. Please use `AbstractLeastSquaresOptimizer.computeWeightedJacobian(double[])` instead.
weightedResiduals - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  As of 3.1.
weightMatrix - Variable in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
  Weight matrix.
weightMatrix - Variable in class org.apache.commons.math3.optim.nonlinear.vector.Weight
  Weight matrix.
weightMatrix - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
  Deprecated.
  Weight matrix.
weightMatrix - Variable in class org.apache.commons.math3.optimization.Weight
  Deprecated.
  Weight matrix.
weightMatrixSqrt - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
  Square-root of the weight matrix.
weightMatrixSqrt - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
  Deprecated.
  Square-root of the weight matrix.
weights - Variable in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
  Nodes weights.
weights - Variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Weights for the current method.
weights - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
  Optional weights for the residuals.
weights - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Array for weighted recombination.
weights - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Array for weighted recombination.
weights - Variable in class org.apache.commons.math3.optimization.LeastSquaresConverter
  Deprecated.
  Optional weights for the residuals.
WEIGHTS_2 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Weights for the 2 points method.
WEIGHTS_3 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Weights for the 3 points method.
WEIGHTS_4 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Weights for the 4 points method.
WEIGHTS_5 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
  Deprecated.
  Weights for the 5 points method.
Well1024a - Class in org.apache.commons.math3.random
  This class implements the WELL1024a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well1024a() - Constructor for class org.apache.commons.math3.random.Well1024a
  Creates a new random number generator.
Well1024a(int) - Constructor for class org.apache.commons.math3.random.Well1024a
  Creates a new random number generator using a single int seed.
Well1024a(int[]) - Constructor for class org.apache.commons.math3.random.Well1024a
  Creates a new random number generator using an int array seed.
Well1024a(long) - Constructor for class org.apache.commons.math3.random.Well1024a
  Creates a new random number generator using a single long seed.
Well19937a - Class in org.apache.commons.math3.random
  This class implements the WELL19937a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well19937a() - Constructor for class org.apache.commons.math3.random.Well19937a
  Creates a new random number generator.
Well19937a(int) - Constructor for class org.apache.commons.math3.random.Well19937a
  Creates a new random number generator using a single int seed.
Well19937a(int[]) - Constructor for class org.apache.commons.math3.random.Well19937a
  Creates a new random number generator using an int array seed.
Well19937a(long) - Constructor for class org.apache.commons.math3.random.Well19937a
  Creates a new random number generator using a single long seed.
Well19937c - Class in org.apache.commons.math3.random
  This class implements the WELL19937c pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well19937c() - Constructor for class org.apache.commons.math3.random.Well19937c
  Creates a new random number generator.
Well19937c(int) - Constructor for class org.apache.commons.math3.random.Well19937c
  Creates a new random number generator using a single int seed.
Well19937c(int[]) - Constructor for class org.apache.commons.math3.random.Well19937c
  Creates a new random number generator using an int array seed.
Well19937c(long) - Constructor for class org.apache.commons.math3.random.Well19937c
  Creates a new random number generator using a single long seed.
Well44497a - Class in org.apache.commons.math3.random
  This class implements the WELL44497a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well44497a() - Constructor for class org.apache.commons.math3.random.Well44497a
  Creates a new random number generator.
Well44497a(int) - Constructor for class org.apache.commons.math3.random.Well44497a
  Creates a new random number generator using a single int seed.
Well44497a(int[]) - Constructor for class org.apache.commons.math3.random.Well44497a
  Creates a new random number generator using an int array seed.
Well44497a(long) - Constructor for class org.apache.commons.math3.random.Well44497a
  Creates a new random number generator using a single long seed.
Well44497b - Class in org.apache.commons.math3.random
  This class implements the WELL44497b pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well44497b() - Constructor for class org.apache.commons.math3.random.Well44497b
  Creates a new random number generator.
Well44497b(int) - Constructor for class org.apache.commons.math3.random.Well44497b
  Creates a new random number generator using a single int seed.
Well44497b(int[]) - Constructor for class org.apache.commons.math3.random.Well44497b
  Creates a new random number generator using an int array seed.
Well44497b(long) - Constructor for class org.apache.commons.math3.random.Well44497b
  Creates a new random number generator using a single long seed.
Well512a - Class in org.apache.commons.math3.random
  This class implements the WELL512a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well512a() - Constructor for class org.apache.commons.math3.random.Well512a
  Creates a new random number generator.
Well512a(int) - Constructor for class org.apache.commons.math3.random.Well512a
  Creates a new random number generator using a single int seed.
Well512a(int[]) - Constructor for class org.apache.commons.math3.random.Well512a
  Creates a new random number generator using an int array seed.
Well512a(long) - Constructor for class org.apache.commons.math3.random.Well512a
  Creates a new random number generator using a single long seed.
wholeFormat - Variable in class org.apache.commons.math3.fraction.ProperBigFractionFormat
  The format used for the whole number.
wholeFormat - Variable in class org.apache.commons.math3.fraction.ProperFractionFormat
  The format used for the whole number.
wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Build a region covering the whole hyperplane.
wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Build a region covering the whole hyperplane.
wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Build a sub-hyperplane covering the whole hyperplane.
wholeHyperplane() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
  Build a sub-hyperplane covering the whole hyperplane.
wholeLine() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Build a sub-line covering the whole line.
wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
  Build a region covering the whole space.
wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
  Build a region covering the whole space.
wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
  Build a region covering the whole space.
wholeSpace() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
  Build a region covering the whole space.
wilcoxonSignedRank(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
  Computes the Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.
WilcoxonSignedRankTest - Class in org.apache.commons.math3.stat.inference
  An implementation of the Wilcoxon signed-rank test.
WilcoxonSignedRankTest() - Constructor for class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
  Create a test instance where NaN's are left in place and ties get the average of applicable ranks.
WilcoxonSignedRankTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
  Create a test instance using the given strategies for NaN's and ties.
wilcoxonSignedRankTest(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
  Returns the observed significance level, or p-value, associated with a Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.
windowSize - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
  hold the window size
work_sing - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  workspace for singularity method
work_tolset - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  scratch space for tolerance calc
wrapped - Variable in exception org.apache.commons.math3.ode.events.EventState.LocalMaxCountExceededException
  Wrapped exception.
wrapped - Variable in class org.apache.commons.math3.random.SynchronizedRandomGenerator
  Object to which all calls will be delegated.
writeBaseExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
  Save the base state of the instance.
writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
writeObject(ObjectOutputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
  Serialize this object to the given stream.
writeObject(ObjectOutputStream) - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
  Serialize the instance.
writeObject(ObjectOutputStream) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
  Serialize the instance.
writeObject(ObjectOutputStream) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
  Serialize the instance.
writeObject(ObjectOutputStream) - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
  Deprecated.
  Serialize the instance.
writeObject(ObjectOutputStream) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
  Deprecated.
  Serialize the instance.
writeObject(ObjectOutputStream) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
  Deprecated.
  Serialize the instance.
writeReplace() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  Replace the instance with a data transfer object for serialization.
writeReplace() - Method in class org.apache.commons.math3.optim.PointValuePair
  Replace the instance with a data transfer object for serialization.
writeReplace() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
  Replace the instance with a data transfer object for serialization.
writeReplace() - Method in class org.apache.commons.math3.optimization.PointValuePair
  Deprecated.
  Replace the instance with a data transfer object for serialization.
writeReplace() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
  Deprecated.
  Replace the instance with a data transfer object for serialization.
wrong - Variable in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
  Wrong dimensions.

## X

x - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Interpolating points (abscissas).
x - Variable in class org.apache.commons.math3.fitting.WeightedObservedPoint
  Abscissa of the point.
x - Variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Abscissa.
x - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Abscissa.
x - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Abscissa.
x - Variable in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
  The current estimate of the solution.
x - Variable in class org.apache.commons.math3.linear.SchurTransformer.ShiftInfo
  x shift info
x - Variable in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
  Deprecated.
  Abscissa of the point.
X_CRIT - Static variable in class org.apache.commons.math3.special.Erf
  The number `X_CRIT` is used by `Erf.erf(double, double)` internally.
x_sing - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
  singular x values
xbar - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
  mean of accumulated x values, used in updating formulas
xDegree - Variable in class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
  Degree of the fitting polynomial.
xFitter - Variable in class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
  Fitter for x.
xL - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  A reference to the vector to be updated with the solution.
xMatrix - Variable in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  X sample data.
xmean - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
  Objective variables.
xmean - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
  Objective variables.
xor(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
  Compute the symmetric difference (exclusive or) of two regions.
xval - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
  Samples x-coordinates
xval - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
  Samples x-coordinates
XYX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Euler angles.
XYZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Cardan angles.
XZX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Euler angles.
XZY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Cardan angles.

## Y

y - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
  Function values at interpolating points.
y - Variable in class org.apache.commons.math3.fitting.WeightedObservedPoint
  Observed value of the function at x.
y - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Ordinate.
y - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Ordinate.
y - Variable in class org.apache.commons.math3.linear.SchurTransformer.ShiftInfo
  y shift info
y - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of beta[k+1] * P' * v[k+1].
y - Variable in class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
  First steps states.
y - Variable in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
  Deprecated.
  Observed value of the function at x.
y0Dot - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  Slope at the beginning of the step.
y1 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  State at the end of the step.
y1Dot - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  Slope at the end of the step.
ybar - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
  mean of accumulated y values, used in updating formulas
yDegree - Variable in class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
  Degree of the fitting polynomial.
yDot - Variable in class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
  First steps derivatives.
yDotK - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
  Slopes at the intermediate points
yDotKLast - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
  Last evaluations.
yFitter - Variable in class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
  Fitter for y.
yMidDots - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
  Derivatives at the middle of the step.
ynorm2 - Variable in class org.apache.commons.math3.linear.SymmLQ.State
  The value of zeta[1]^2 + ...
yval - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
  Samples y-coordinates
yval - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
  Samples y-coordinates
yVector - Variable in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
  Y sample data.
YXY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Euler angles.
YXZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Cardan angles.
YZX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Cardan angles.
YZY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Euler angles.

## Z

z - Variable in class org.apache.commons.math3.distribution.BetaDistribution
  Normalizing factor used in density computations.
z - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Height.
z - Variable in class org.apache.commons.math3.ode.FirstOrderConverter
  state vector.
zDDot - Variable in class org.apache.commons.math3.ode.FirstOrderConverter
  second time derivative of the state vector.
zDot - Variable in class org.apache.commons.math3.ode.FirstOrderConverter
  first time derivative of the state vector.
ZERO - Static variable in class org.apache.commons.math3.complex.Complex
  A complex number representing "0.0 + 0.0i"
ZERO - Static variable in class org.apache.commons.math3.complex.Quaternion
  Zero quaternion.
zero - Variable in class org.apache.commons.math3.dfp.DfpField
  A `Dfp` with value 0.
ZERO - Static variable in class org.apache.commons.math3.fraction.BigFraction
  A fraction representing "0".
ZERO - Static variable in class org.apache.commons.math3.fraction.Fraction
  A fraction representing "0".
ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
  Origin (coordinates: 0).
zero - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Line
  Line point closest to the origin.
ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
  Null vector (coordinates: 0, 0, 0).
ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
  Origin (coordinates: 0, 0).
zero - Variable in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
  Zero element of the field.
zero - Variable in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
  Zero element of the field.
ZERO - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
ZERO - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
ZERO - Static variable in class org.apache.commons.math3.util.BigReal
  A big real representing 0.
ZERO - Static variable in class org.apache.commons.math3.util.Decimal64
  The constant value of `0d` as a `Decimal64`.
ZeroException - Exception in org.apache.commons.math3.exception
  Exception to be thrown when zero is provided where it is not allowed.
ZeroException() - Constructor for exception org.apache.commons.math3.exception.ZeroException
  Construct the exception.
ZeroException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.ZeroException
  Construct the exception with a specific context.
zeros(int, int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
zeros(int, int) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
  Deprecated.
zeta - Variable in class org.apache.commons.math3.random.StableRandomGenerator
  cache of expression value used in generation
ZipfDistribution - Class in org.apache.commons.math3.distribution
  Implementation of the Zipf distribution.
ZipfDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.ZipfDistribution
  Create a new Zipf distribution with the given number of elements and exponent.
ZipfDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.ZipfDistribution
  Creates a Zipf distribution.
zMatrix - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
  Factorization of the leading npt square submatrix of H, this factorization being Z ZT, which provides both the correct rank and positive semi-definiteness.
zMatrix - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
  Deprecated.
  Factorization of the leading npt square submatrix of H, this factorization being Z ZT, which provides both the correct rank and positive semi-definiteness.
zval - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
  Samples z-coordinates
ZXY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Cardan angles.
ZXZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Euler angles.
ZYX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Cardan angles.
ZYZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
  Set of Euler angles.

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