Interface BaseMultivariateOptimizer<FUNC extends MultivariateFunction>

Type Parameters:
FUNC - Type of the objective function to be optimized.
All Superinterfaces:
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).

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:

$Id: 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


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.

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.
the point/value pair giving the optimal value for objective function.
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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