BaseMultivariateVectorOptimizer (Apache Commons Math 3.6.1 API)

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

All Superinterfaces:

BaseOptimizer<PointVectorValuePair>

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).
```
@Deprecated
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:
- DifferentiableMultivariateVectorOptimizer
Since:

3.0

Method Summary

Methods
Modifier and Type	Method and Description
`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
  - optimize
```
@Deprecated
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 ∑weight_i(objective_i - target_i)²
    
    Parameters:
    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.
    
    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.

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