gov.sandia.cognition.learning.algorithm.minimization

Class MinimizationStoppingCriterion

java.lang.Object

gov.sandia.cognition.learning.algorithm.minimization.MinimizationStoppingCriterion

public class MinimizationStoppingCriterion
extends java.lang.Object

Implementation of almost zero-gradient convergence test for function minimizers.

Since:

2.1

Author:

Kevin R. Dixon

Constructor Summary

Constructors

Constructor and Description
MinimizationStoppingCriterion()

Method Summary

Modifier and Type	Method and Description
static boolean	convergence(Vector xnew, java.lang.Double fxnew, Vector gradient, Vector delta, double tolerance) Tests for convergence on approximately zero slope and nonmovement along the x-axis

Methods inherited from class java.lang.Object

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

Constructor Detail

MinimizationStoppingCriterion

public MinimizationStoppingCriterion()

Method Detail

convergence

public static boolean convergence(Vector xnew,
                                  java.lang.Double fxnew,
                                  Vector gradient,
                                  Vector delta,
                                  double tolerance)

Tests for convergence on approximately zero slope and nonmovement along the x-axis

Parameters:

xnew - Present x-axis value

fxnew - Present y-value at xnew, may be null if unknown

gradient - Gradient at the new point

delta - Change in x-axis between iterations

tolerance - Tolerance of the stopping criterion, typically ~1e-5

Returns:

True if converged, false otherwise