org.apache.commons.math3.optimization.univariate

## Class BaseAbstractUnivariateOptimizer

- java.lang.Object
- - org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer

All Implemented Interfaces:
  BaseOptimizer<UnivariatePointValuePair>, BaseUnivariateOptimizer<UnivariateFunction>, UnivariateOptimizer

Direct Known Subclasses:
  BrentOptimizer

Deprecated.
As of 3.1 (to be removed in 4.0).

    @Deprecated
    public abstract class BaseAbstractUnivariateOptimizer
    extends java.lang.Object
    implements UnivariateOptimizer

Provide a default implementation for several functions useful to generic optimizers.

Since:
  2.0
Version:
  $Id: BaseAbstractUnivariateOptimizer.java 1422230 2012-12-15 12:11:13Z erans $

### Field Summary

Fields
`private ConvergenceChecker<UnivariatePointValuePair>` `checker` Deprecated. Convergence checker.
`private Incrementor` `evaluations` Deprecated. Evaluations counter.
`private UnivariateFunction` `function` Deprecated. Function to optimize.
`private GoalType` `goal` Deprecated. Optimization type
`private double` `searchMax` Deprecated. Higher end of search interval.
`private double` `searchMin` Deprecated. Lower end of search interval.
`private double` `searchStart` Deprecated. Initial guess .

### Constructor Summary

Constructors
`protected` `BaseAbstractUnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair> checker)` Deprecated.

### Method Summary

Methods
`protected double` `computeObjectiveValue(double point)` Deprecated. Compute the objective function value.
`protected abstract UnivariatePointValuePair` `doOptimize()` Deprecated. Method for implementing actual optimization algorithms in derived classes.
`ConvergenceChecker<UnivariatePointValuePair>` `getConvergenceChecker()` Deprecated. Get the convergence checker.
`int` `getEvaluations()` Deprecated. Get the number of evaluations of the objective function.
`GoalType` `getGoalType()` Deprecated.
`double` `getMax()` Deprecated.
`int` `getMaxEvaluations()` Deprecated. Get the maximal number of function evaluations.
`double` `getMin()` Deprecated.
`double` `getStartValue()` Deprecated.
`UnivariatePointValuePair` `optimize(int maxEval, UnivariateFunction f, GoalType goalType, double min, double max)` Deprecated. Find an optimum in the given interval.
`UnivariatePointValuePair` `optimize(int maxEval, UnivariateFunction f, GoalType goalType, double min, double max, double startValue)` Deprecated. Find an optimum in the given interval, start at startValue.

### Methods inherited from class java.lang.Object

`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

### Field Detail

#### checker

    private final ConvergenceChecker<UnivariatePointValuePair> checker

Deprecated.
Convergence checker.

#### evaluations

    private final Incrementor evaluations

Deprecated.
Evaluations counter.

#### goal

    private GoalType goal

Deprecated.
Optimization type

#### searchMin

    private double searchMin

Deprecated.
Lower end of search interval.

#### searchMax

    private double searchMax

Deprecated.
Higher end of search interval.

#### searchStart

    private double searchStart

Deprecated.
Initial guess .

#### function

    private UnivariateFunction function

Deprecated.
Function to optimize.

### Constructor Detail

#### BaseAbstractUnivariateOptimizer

    protected BaseAbstractUnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair> checker)

Deprecated.

Parameters:
  `checker` - Convergence checking procedure.

### Method Detail

#### getMaxEvaluations

    public int getMaxEvaluations()

Deprecated.
Get the maximal number of function evaluations.

Specified by:
  `getMaxEvaluations` in interface `BaseOptimizer<UnivariatePointValuePair>`
Returns:
  the maximal number of function evaluations.

#### getEvaluations

    public int getEvaluations()

Deprecated.
Get the number of evaluations of the objective function. The number of evaluations corresponds to the last call to the `optimize` method. It is 0 if the method has not been called yet.

Specified by:
  `getEvaluations` in interface `BaseOptimizer<UnivariatePointValuePair>`
Returns:
  the number of evaluations of the objective function.

#### getGoalType

    public GoalType getGoalType()

Deprecated.

Returns:
  the optimization type.

#### getMin

    public double getMin()

Deprecated.

Returns:
  the lower end of the search interval.

#### getMax

    public double getMax()

Deprecated.

Returns:
  the higher end of the search interval.

#### getStartValue

    public double getStartValue()

Deprecated.

Returns:
  the initial guess.

#### computeObjectiveValue

    protected double computeObjectiveValue(double point)

Deprecated.
Compute the objective function value.

Parameters:
  `point` - Point at which the objective function must be evaluated.
Returns:
  the objective function value at specified point.
Throws:
  `TooManyEvaluationsException` - if the maximal number of evaluations is exceeded.

#### optimize

    public UnivariatePointValuePair optimize(int maxEval,
                                    UnivariateFunction f,
                                    GoalType goalType,
                                    double min,
                                    double max,
                                    double startValue)

Deprecated.
Find an optimum in the given interval, start at startValue. An optimizer may require that the interval brackets a single optimum.

Specified by:
  `optimize` in interface `BaseUnivariateOptimizer<UnivariateFunction>`
Parameters:
  `maxEval` - Maximum number of function evaluations.
  `f` - Function to optimize.
  `goalType` - Type of optimization goal: either `GoalType.MAXIMIZE` or `GoalType.MINIMIZE`.
  `min` - Lower bound for the interval.
  `max` - Upper bound for the interval.
  `startValue` - Start value to use.
Returns:
  a (point, value) pair where the function is optimum.

#### optimize

    public UnivariatePointValuePair optimize(int maxEval,
                                    UnivariateFunction f,
                                    GoalType goalType,
                                    double min,
                                    double max)

Deprecated.
Find an optimum in the given interval. An optimizer may require that the interval brackets a single optimum.

Specified by:
  `optimize` in interface `BaseUnivariateOptimizer<UnivariateFunction>`
Parameters:
  `maxEval` - Maximum number of function evaluations.
  `f` - Function to optimize.
  `goalType` - Type of optimization goal: either `GoalType.MAXIMIZE` or `GoalType.MINIMIZE`.
  `min` - Lower bound for the interval.
  `max` - Upper bound for the interval.
Returns:
  a (point, value) pair where the function is optimum.

#### getConvergenceChecker

    public ConvergenceChecker<UnivariatePointValuePair> getConvergenceChecker()

Deprecated.
Get the convergence checker.

Specified by:
  `getConvergenceChecker` in interface `BaseOptimizer<UnivariatePointValuePair>`
Returns:
  the object used to check for convergence.

#### doOptimize

    protected abstract UnivariatePointValuePair doOptimize()

Deprecated.
Method for implementing actual optimization algorithms in derived classes.

Returns:
  the optimum and its corresponding function value.
Throws:
  `TooManyEvaluationsException` - if the maximal number of evaluations is exceeded.