## org.apache.commons.math3.optimization
Interface BaseMultivariateOptimizer<FUNC extends MultivariateFunction>

Type Parameters:
  `FUNC` - Type of the objective function to be optimized.

All Superinterfaces:
  BaseOptimizer<PointValuePair>

All Known Subinterfaces:
  BaseMultivariateSimpleBoundsOptimizer<FUNC>, DifferentiableMultivariateOptimizer, MultivariateDifferentiableOptimizer, MultivariateOptimizer

All Known Implementing Classes:
  AbstractDifferentiableOptimizer, AbstractScalarDifferentiableOptimizer, BaseAbstractMultivariateOptimizer, BaseAbstractMultivariateSimpleBoundsOptimizer, BaseMultivariateMultiStartOptimizer, BOBYQAOptimizer, CMAESOptimizer, DifferentiableMultivariateMultiStartOptimizer, MultivariateDifferentiableMultiStartOptimizer, MultivariateMultiStartOptimizer, NonLinearConjugateGradientOptimizer, PowellOptimizer, SimplexOptimizer

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

    @Deprecated
    public interface BaseMultivariateOptimizer<FUNC extends MultivariateFunction>

extends BaseOptimizer<PointValuePair>

This interface is mainly intended to enforce the internal coherence of Commons-FastMath. Users of the API are advised to base their code on the following interfaces:

- `MultivariateOptimizer`
- `MultivariateDifferentiableOptimizer`

Since:
  3.0
Version:
  $Id: BaseMultivariateOptimizer.java 1422230 2012-12-15 12:11:13Z erans $

Method Summary
`PointValuePair` `optimize(int maxEval, FUNC f, GoalType goalType, double[] startPoint)` Deprecated. As of 3.1. In 4.0, it will be replaced by the declaration corresponding to this `method`.

Methods inherited from interface org.apache.commons.math3.optimization.BaseOptimizer
`getConvergenceChecker, getEvaluations, getMaxEvaluations`

Method Detail

### optimize

    @Deprecated
    PointValuePair optimize(int maxEval,
                                       FUNC f,
                                       GoalType goalType,
                                       double[] startPoint)

  Deprecated. As of 3.1. In 4.0, it will be replaced by the declaration corresponding to this `method`.

  Optimize an objective function.

  Parameters:
    `f` - Objective function.
    `goalType` - Type of optimization goal: either `GoalType.MAXIMIZE` or `GoalType.MINIMIZE`.
    `startPoint` - Start point for optimization.
    `maxEval` - Maximum number of function evaluations.
  Returns:
    the point/value pair giving the optimal value for objective function.
  Throws:
    `DimensionMismatchException` - if the start point dimension is wrong.
    `TooManyEvaluationsException` - if the maximal number of evaluations is exceeded.
    `NullArgumentException` - if any argument is `null`.

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