org.apache.commons.math.optimization
Class SimpleRealPointChecker

java.lang.Object
  org.apache.commons.math.optimization.SimpleRealPointChecker

All Implemented Interfaces:

RealConvergenceChecker

public class SimpleRealPointChecker
extends Object
implements RealConvergenceChecker

Simple implementation of the RealConvergenceChecker interface using only point coordinates.

Convergence is considered to have been reached if either the relative difference between each point coordinate are smaller than a threshold or if either the absolute difference between the point coordinates are smaller than another threshold.

Since:

2.0

Version:

$Revision: 990655 $ $Date: 2010-08-29 23:49:40 +0200 (dim. 29 août 2010) $

Constructor Summary

SimpleRealPointChecker()
Build an instance with default threshold.

SimpleRealPointChecker(double relativeThreshold, double absoluteThreshold)
Build an instance with a specified threshold.

Method Summary

boolean

converged(int iteration, RealPointValuePair previous, RealPointValuePair current) Check if the optimization algorithm has converged considering the last points.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SimpleRealPointChecker

public SimpleRealPointChecker()

Build an instance with default threshold.

SimpleRealPointChecker

public SimpleRealPointChecker(double relativeThreshold,
                              double absoluteThreshold)

Build an instance with a specified threshold.

In order to perform only relative checks, the absolute tolerance must be set to a negative value. In order to perform only absolute checks, the relative tolerance must be set to a negative value.

Parameters:

relativeThreshold - relative tolerance threshold

absoluteThreshold - absolute tolerance threshold

Method Detail

converged

public boolean converged(int iteration,
                         RealPointValuePair previous,
                         RealPointValuePair current)

Check if the optimization algorithm has converged considering the last points.

This method may be called several time from the same algorithm iteration with different points. This can be detected by checking the iteration number at each call if needed. Each time this method is called, the previous and current point correspond to points with the same role at each iteration, so they can be compared. As an example, simplex-based algorithms call this method for all points of the simplex, not only for the best or worst ones.

Specified by:

converged in interface RealConvergenceChecker

Parameters:

iteration - index of current iteration

previous - point from previous iteration

current - point from current iteration

Returns:

true if the algorithm is considered to have converged