BaseAbstractMultivariateVectorOptimizer

java.lang.Object
- org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer<FUNC>

Type Parameters:

FUNC - the type of the objective function to be optimized

All Implemented Interfaces:

BaseMultivariateVectorOptimizer<FUNC>, BaseOptimizer<PointVectorValuePair>

Direct Known Subclasses:

AbstractLeastSquaresOptimizer

Deprecated.
As of 3.1 (to be removed in 4.0).
```
@Deprecated
public abstract class BaseAbstractMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction>
extends Object
implements BaseMultivariateVectorOptimizer<FUNC>
```
Base class for implementing optimizers for multivariate scalar functions. This base class handles the boiler-plate methods associated to thresholds settings, iterations and evaluations counting.

Since:

3.0

Method Summary

All Methods Instance Methods Concrete Methods Deprecated Methods
Modifier and Type	Method and Description
`ConvergenceChecker<PointVectorValuePair>`	`getConvergenceChecker()` Deprecated. Get the convergence checker.
`int`	`getEvaluations()` Deprecated. Get the number of evaluations of the objective function.
`int`	`getMaxEvaluations()` Deprecated. Get the maximal number of function evaluations.
`double[]`	`getStartPoint()` Deprecated. Gets the initial values of the optimized parameters.
`double[]`	`getTarget()` Deprecated. Gets the observed values to be matched by the objective vector function.
`RealMatrix`	`getWeight()` Deprecated. Gets the weight matrix of the observations.
`PointVectorValuePair`	`optimize(int maxEval, FUNC f, double[] t, double[] w, double[] startPoint)` Deprecated. As of 3.1. Please use `optimize(int,MultivariateVectorFunction,OptimizationData[])` instead.

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Method Detail
  - getMaxEvaluations
```
public int getMaxEvaluations()
```
    Deprecated.
    
    Get the maximal number of function evaluations.
    
    Specified by:
    
    getMaxEvaluations in interface BaseOptimizer<PointVectorValuePair>
    
    Returns:
    
    the maximal number of function evaluations.
  - getEvaluations
```
public int getEvaluations()
```
    Deprecated.
    
    Get the number of evaluations of the objective function. The number of evaluations corresponds to the last call to the optimize method. It is 0 if the method has not been called yet.
    
    Specified by:
    
    getEvaluations in interface BaseOptimizer<PointVectorValuePair>
    
    Returns:
    
    the number of evaluations of the objective function.
  - getConvergenceChecker
```
public ConvergenceChecker<PointVectorValuePair> getConvergenceChecker()
```
    Deprecated.
    
    Get the convergence checker.
    
    Specified by:
    
    getConvergenceChecker in interface BaseOptimizer<PointVectorValuePair>
    
    Returns:
    
    the object used to check for convergence.
  - optimize
```
@Deprecated
public PointVectorValuePair optimize(int maxEval,
                                                 FUNC f,
                                                 double[] t,
                                                 double[] w,
                                                 double[] startPoint)
```
    Deprecated. As of 3.1. Please use optimize(int,MultivariateVectorFunction,OptimizationData[]) instead.
    
    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
    
    Specified by:
    
    optimize in interface BaseMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction>
    
    Parameters:
    
    maxEval - Maximum number of function evaluations.
    
    f - Objective function.
    
    t - Target value for the objective functions at optimum.
    
    w - Weights for the least squares cost computation.
    
    startPoint - Start point for optimization.
    
    Returns:
    
    the point/value pair giving the optimal value for objective function.
  - getStartPoint
```
public double[] getStartPoint()
```
    Deprecated.
    
    Gets the initial values of the optimized parameters.
    
    Returns:
    
    the initial guess.
  - getWeight
```
public RealMatrix getWeight()
```
    Deprecated.
    
    Gets the weight matrix of the observations.
    
    Returns:
    
    the weight matrix.
    
    Since:
    
    3.1
  - getTarget
```
public double[] getTarget()
```
    Deprecated.
    
    Gets the observed values to be matched by the objective vector function.
    
    Returns:
    
    the target values.
    
    Since:
    
    3.1

Class BaseAbstractMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction>

Method Summary

Methods inherited from class java.lang.Object

Method Detail

getMaxEvaluations

getEvaluations

getConvergenceChecker

optimize

getStartPoint

getWeight

getTarget