Package org.apache.commons.math

Class ConvergingAlgorithmImpl

java.lang.Object

org.apache.commons.math.ConvergingAlgorithmImpl

All Implemented Interfaces:

ConvergingAlgorithm

Direct Known Subclasses:

AbstractUnivariateRealOptimizer, UnivariateRealIntegratorImpl, UnivariateRealSolverImpl

public abstract class ConvergingAlgorithmImpl
extends java.lang.Object
implements ConvergingAlgorithm

Deprecated.

in 2.2 (to be removed in 3.0).

Provide a default implementation for several functions useful to generic converging algorithms.

Since:

2.0

Method Summary

Modifier and Type	Method	Description
double	getAbsoluteAccuracy()	Deprecated. Get the actual absolute accuracy.
int	getIterationCount()	Deprecated. Get the number of iterations in the last run of the algorithm.
int	getMaximalIterationCount()	Deprecated. Get the upper limit for the number of iterations.
double	getRelativeAccuracy()	Deprecated. Get the actual relative accuracy.
void	resetAbsoluteAccuracy()	Deprecated. Reset the absolute accuracy to the default.
void	resetMaximalIterationCount()	Deprecated. Reset the upper limit for the number of iterations to the default.
void	resetRelativeAccuracy()	Deprecated. Reset the relative accuracy to the default.
void	setAbsoluteAccuracy(double accuracy)	Deprecated. Set the absolute accuracy.
void	setMaximalIterationCount(int count)	Deprecated. Set the upper limit for the number of iterations.
void	setRelativeAccuracy(double accuracy)	Deprecated. Set the relative accuracy.

Methods inherited from class java.lang.Object

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

Method Detail

getIterationCount

public int getIterationCount()

Deprecated.

Get the number of iterations in the last run of the algorithm.

This is mainly meant for testing purposes. It may occasionally help track down performance problems: if the iteration count is notoriously high, check whether the problem is evaluated properly, and whether another algorithm is more amenable to the problem.

Specified by:

getIterationCount in interface ConvergingAlgorithm

Returns:

the last iteration count.

setAbsoluteAccuracy

public void setAbsoluteAccuracy(double accuracy)

Deprecated.

Set the absolute accuracy.

The default is usually chosen so that results in the interval -10..-0.1 and +0.1..+10 can be found with a reasonable accuracy. If the expected absolute value of your results is of much smaller magnitude, set this to a smaller value.

Algorithms are advised to do a plausibility check with the relative accuracy, but clients should not rely on this.

Specified by:

setAbsoluteAccuracy in interface ConvergingAlgorithm

Parameters:

accuracy - the accuracy.

getAbsoluteAccuracy

public double getAbsoluteAccuracy()

Deprecated.

Get the actual absolute accuracy.

Specified by:

getAbsoluteAccuracy in interface ConvergingAlgorithm

Returns:

the accuracy

resetAbsoluteAccuracy

public void resetAbsoluteAccuracy()

Deprecated.

Reset the absolute accuracy to the default.

The default value is provided by the algorithm implementation.

Specified by:

resetAbsoluteAccuracy in interface ConvergingAlgorithm

setMaximalIterationCount

public void setMaximalIterationCount(int count)

Deprecated.

Set the upper limit for the number of iterations.

Usually a high iteration count indicates convergence problems. However, the "reasonable value" varies widely for different algorithms. Users are advised to use the default value supplied by the algorithm.

A ConvergenceException will be thrown if this number is exceeded.

Specified by:

setMaximalIterationCount in interface ConvergingAlgorithm

Parameters:

count - maximum number of iterations

getMaximalIterationCount

public int getMaximalIterationCount()

Deprecated.

Get the upper limit for the number of iterations.

Specified by:

getMaximalIterationCount in interface ConvergingAlgorithm

Returns:

the actual upper limit

resetMaximalIterationCount

public void resetMaximalIterationCount()

Deprecated.

Reset the upper limit for the number of iterations to the default.

The default value is supplied by the algorithm implementation.

Specified by:

resetMaximalIterationCount in interface ConvergingAlgorithm

See Also:

ConvergingAlgorithm.setMaximalIterationCount(int)

setRelativeAccuracy

public void setRelativeAccuracy(double accuracy)

Deprecated.

Set the relative accuracy.

This is used to stop iterations if the absolute accuracy can't be achieved due to large values or short mantissa length.

If this should be the primary criterion for convergence rather then a safety measure, set the absolute accuracy to a ridiculously small value, like MathUtils.SAFE_MIN.

Specified by:

setRelativeAccuracy in interface ConvergingAlgorithm

Parameters:

accuracy - the relative accuracy.

getRelativeAccuracy

public double getRelativeAccuracy()

Deprecated.

Get the actual relative accuracy.

Specified by:

getRelativeAccuracy in interface ConvergingAlgorithm

Returns:

the accuracy

resetRelativeAccuracy

public void resetRelativeAccuracy()

Deprecated.

Reset the relative accuracy to the default. The default value is provided by the algorithm implementation.

Specified by:

resetRelativeAccuracy in interface ConvergingAlgorithm