BaseMultivariateSimpleBoundsOptimizer

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
public interface BaseMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction>
extends BaseMultivariateOptimizer<FUNC>
```
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, 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.