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

Type Parameters:

FUNC - Type of the objective function to be optimized.

All Superinterfaces:

BaseMultivariateOptimizer<FUNC>, BaseOptimizer<PointValuePair>

All Known Implementing Classes:

BaseAbstractMultivariateSimpleBoundsOptimizer, BOBYQAOptimizer, CMAESOptimizer

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

@Deprecated
public interface BaseMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction>
extends BaseMultivariateOptimizer<FUNC>

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: BaseMultivariateSimpleBoundsOptimizer.java 7721 2013-02-14 14:07:13Z CardosoP $

Method Summary

PointValuePair

optimize(int maxEval, FUNC f, GoalType goalType, double[] startPoint, double[] lowerBound, double[] upperBound) Deprecated. Optimize an objective function.

Methods inherited from interface org.apache.commons.math3.optimization.BaseMultivariateOptimizer

optimize

Methods inherited from interface org.apache.commons.math3.optimization.BaseOptimizer

getConvergenceChecker, getEvaluations, getMaxEvaluations

Method Detail

optimize

PointValuePair optimize(int maxEval,
                        FUNC f,
                        GoalType goalType,
                        double[] startPoint,
                        double[] lowerBound,
                        double[] upperBound)

Deprecated.

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.

lowerBound - Lower bound for each of the parameters.

upperBound - Upper bound for each of the parameters.

Returns:

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

Throws:

DimensionMismatchException - if the array sizes are wrong.

TooManyEvaluationsException - if the maximal number of evaluations is exceeded.

NullArgumentException - if f, goalType or startPoint is null.

NumberIsTooSmallException - if any of the initial values is less than its lower bound.

NumberIsTooLargeException - if any of the initial values is greater than its upper bound.