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.