BaseMultivariateOptimizer

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
public interface BaseMultivariateOptimizer<FUNC extends MultivariateFunction>
extends BaseOptimizer<PointValuePair>
```
Deprecated.
As of 3.1 (to be removed in 4.0).
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

Method Summary

All Methods Instance Methods Abstract Methods Deprecated Methods
Modifier and Type	Method	Description
`PointValuePair`	`optimize(int maxEval, FUNC f, GoalType goalType, double[] startPoint)`	Deprecated. As of 3.1.

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.