PowellOptimizer (Apache Commons Math 3.6.1 API)

java.lang.Object
- org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer<MultivariateFunction>
- - org.apache.commons.math3.optimization.direct.PowellOptimizer

All Implemented Interfaces:

BaseMultivariateOptimizer<MultivariateFunction>, BaseOptimizer<PointValuePair>, MultivariateOptimizer

Deprecated.
As of 3.1 (to be removed in 4.0).
```
@Deprecated
public class PowellOptimizer
extends BaseAbstractMultivariateOptimizer<MultivariateFunction>
implements MultivariateOptimizer
```
Powell algorithm. This code is translated and adapted from the Python version of this algorithm (as implemented in module optimize.py v0.5 of SciPy).
The default stopping criterion is based on the differences of the function value between two successive iterations. It is however possible to define a custom convergence checker that might terminate the algorithm earlier.
The internal line search optimizer is a BrentOptimizer with a convergence checker set to SimpleUnivariateValueChecker.

Since:

2.2

Field Summary
- Fields inherited from class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  evaluations

Constructor Summary

Constructors
Constructor and Description
`PowellOptimizer(double rel, double abs)` Deprecated. The parameters control the default convergence checking procedure.
`PowellOptimizer(double rel, double abs, ConvergenceChecker<PointValuePair> checker)` Deprecated. This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure.
`PowellOptimizer(double rel, double abs, double lineRel, double lineAbs)` Deprecated. Builds an instance with the default convergence checking procedure.
`PowellOptimizer(double rel, double abs, double lineRel, double lineAbs, ConvergenceChecker<PointValuePair> checker)` Deprecated. This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure and the line search tolerances.

Method Summary

Methods
Modifier and Type Method and Description

protected PointValuePair doOptimize()
Deprecated.

Perform the bulk of the optimization algorithm.
- Methods inherited from class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  computeObjectiveValue, getConvergenceChecker, getEvaluations, getGoalType, getLowerBound, getMaxEvaluations, getStartPoint, getUpperBound, optimize, optimize, optimizeInternal, optimizeInternal
- Methods inherited from class java.lang.Object
  clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
- Methods inherited from interface org.apache.commons.math3.optimization.BaseMultivariateOptimizer
  optimize
- Methods inherited from interface org.apache.commons.math3.optimization.BaseOptimizer
  getConvergenceChecker, getEvaluations, getMaxEvaluations

Methods
Modifier and Type	Method and Description
`protected PointValuePair`	`doOptimize()` Deprecated. Perform the bulk of the optimization algorithm.

- Constructor Detail
  - PowellOptimizer
```
public PowellOptimizer(double rel,
               double abs,
               ConvergenceChecker<PointValuePair> checker)
```
    Deprecated.
    
    This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure.
    The internal line search tolerances are set to the square-root of their corresponding value in the multivariate optimizer.
    
    Parameters:
    rel - Relative threshold.
    abs - Absolute threshold.
    checker - Convergence checker.
    
    Throws:
    
    NotStrictlyPositiveException - if abs <= 0.
    
    NumberIsTooSmallException - if rel < 2 * Math.ulp(1d).
  - PowellOptimizer
```
public PowellOptimizer(double rel,
               double abs,
               double lineRel,
               double lineAbs,
               ConvergenceChecker<PointValuePair> checker)
```
    Deprecated.
    
    This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure and the line search tolerances.
    
    Parameters:
    rel - Relative threshold for this optimizer.
    abs - Absolute threshold for this optimizer.
    lineRel - Relative threshold for the internal line search optimizer.
    lineAbs - Absolute threshold for the internal line search optimizer.
    checker - Convergence checker.
    
    Throws:
    
    NotStrictlyPositiveException - if abs <= 0.
    
    NumberIsTooSmallException - if rel < 2 * Math.ulp(1d).
  - PowellOptimizer
```
public PowellOptimizer(double rel,
               double abs)
```
    Deprecated.
    
    The parameters control the default convergence checking procedure.
    The internal line search tolerances are set to the square-root of their corresponding value in the multivariate optimizer.
    
    Parameters:
    rel - Relative threshold.
    abs - Absolute threshold.
    
    Throws:
    
    NotStrictlyPositiveException - if abs <= 0.
    
    NumberIsTooSmallException - if rel < 2 * Math.ulp(1d).
  - PowellOptimizer
```
public PowellOptimizer(double rel,
               double abs,
               double lineRel,
               double lineAbs)
```
    Deprecated.
    
    Builds an instance with the default convergence checking procedure.
    
    Parameters:
    rel - Relative threshold.
    abs - Absolute threshold.
    lineRel - Relative threshold for the internal line search optimizer.
    lineAbs - Absolute threshold for the internal line search optimizer.
    
    Throws:
    
    NotStrictlyPositiveException - if abs <= 0.
    
    NumberIsTooSmallException - if rel < 2 * Math.ulp(1d).
    Since:
    
    3.1
- Method Detail
  - doOptimize
```
protected PointValuePair doOptimize()
```
    Deprecated.
    
    Perform the bulk of the optimization algorithm.
    
    Specified by:
    
    doOptimize in class BaseAbstractMultivariateOptimizer<MultivariateFunction>
    
    Returns:
    the point/value pair giving the optimal value of the objective function.

Class PowellOptimizer

Field Summary

Fields inherited from class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer

Constructor Summary

Method Summary

Methods inherited from class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer

Methods inherited from class java.lang.Object

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

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

Constructor Detail

PowellOptimizer

PowellOptimizer

PowellOptimizer

PowellOptimizer

Method Detail

doOptimize