Interface BaseMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction>

Type Parameters:
FUNC - Type of the objective function to be optimized.
All Superinterfaces:
All Known Subinterfaces:
DifferentiableMultivariateVectorOptimizer, MultivariateDifferentiableVectorOptimizer
All Known Implementing Classes:
AbstractLeastSquaresOptimizer, BaseAbstractMultivariateVectorOptimizer, BaseMultivariateVectorMultiStartOptimizer, DifferentiableMultivariateVectorMultiStartOptimizer, GaussNewtonOptimizer, LevenbergMarquardtOptimizer, MultivariateDifferentiableVectorMultiStartOptimizer

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

public interface BaseMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction>
extends BaseOptimizer<PointVectorValuePair>

This interface is mainly intended to enforce the internal coherence of Commons-Math. 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
 PointVectorValuePair optimize(int maxEval, FUNC f, double[] target, double[] weight, double[] startPoint)
          Deprecated. As of 3.1. In 4.0, this 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


PointVectorValuePair optimize(int maxEval,
                                         FUNC f,
                                         double[] target,
                                         double[] weight,
                                         double[] startPoint)
Deprecated. As of 3.1. In 4.0, this will be replaced by the declaration corresponding to this method.

Optimize an objective function. Optimization is considered to be a weighted least-squares minimization. The cost function to be minimized is ∑weighti(objectivei - targeti)2

f - Objective function.
target - Target value for the objective functions at optimum.
weight - Weights for the least squares cost computation.
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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