hep.aida.ref.optimizer.minpack
Class MinpackOptimizerConfiguration

java.lang.Object
  hep.aida.ref.optimizer.AbstractOptimizerConfiguration
      hep.aida.ref.optimizer.minpack.MinpackOptimizerConfiguration

All Implemented Interfaces:

IOptimizerConfiguration

public class MinpackOptimizerConfiguration

extends AbstractOptimizerConfiguration

Implementation of IOptimizerConfiguration for the Minpack optimizer

Author:

Tony Johnson, Victor Serbo, Max Turri

Source Code:

MinpackOptimizerConfiguration.java

Field Summary

Fields inherited from interface hep.aida.ext.IOptimizerConfiguration

CHI2_FIT_ERROR, DEFAULT_ERROR, DETAILED_OUTPUT, LOGL_FIT_ERROR, NO_OUTPUT, NORMAL_OUTPUT

Constructor Summary

MinpackOptimizerConfiguration()
Creates a new instance of MinpackOptimizerConfiguration

Method Summary

int	maxIterations() Get the maximum number of iterations allowed before exiting the optimization procedure.
String	method() Get the method used by the optimizer in the optimization procedure.
void	setMaxIterations(int iterations) Set the maximum number of iterations to be performed in the optimization procedure.
void	setMethod(String method) Set the method to be used by the optimizer in the optimization procedure.
void	setPrecision(double precision) Set the precision required in the optimizer's calculations.
void	setStrategy(int strategy) Set the strategy to be used by the optimizer in the optimization procedure.
void	setUseFunctionGradient(boolean useFG) Specify if the optimizer has to use the gradient as provided by the IFunction.
void	setUseFunctionHessian(boolean useHessian) Specify if the optimizer has to use the Hessian as provided by the IFunction.
int	strategy() Get the strategy used by the optimizer in the optimization procedure.

Methods inherited from class hep.aida.ref.optimizer.AbstractOptimizerConfiguration

errorDefinition, precision, printLevel, setErrorDefinition, setPrintLevel, setTitle, setTolerance, title, tolerance, useFunctionGradient, useFunctionHessian

Methods inherited from class java.lang.Object

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

Constructor Detail

MinpackOptimizerConfiguration

public MinpackOptimizerConfiguration()

Creates a new instance of MinpackOptimizerConfiguration

Method Detail

setMaxIterations

public void setMaxIterations(int iterations)

Description copied from class: AbstractOptimizerConfiguration

Set the maximum number of iterations to be performed in the optimization procedure. If the optimizer did not converge before maxIter iterations the optimization will stop.

Specified by:

setMaxIterations in interface IOptimizerConfiguration

Overrides:

setMaxIterations in class AbstractOptimizerConfiguration

Parameters:

iterations - The maximum number of iterations.

maxIterations

public int maxIterations()

Description copied from class: AbstractOptimizerConfiguration

Get the maximum number of iterations allowed before exiting the optimization procedure.

Specified by:

maxIterations in interface IOptimizerConfiguration

Overrides:

maxIterations in class AbstractOptimizerConfiguration

Returns:

The maximum number of iterations.

setUseFunctionGradient

public void setUseFunctionGradient(boolean useFG)

Description copied from class: AbstractOptimizerConfiguration

Specify if the optimizer has to use the gradient as provided by the IFunction.

Specified by:

setUseFunctionGradient in interface IOptimizerConfiguration

Overrides:

setUseFunctionGradient in class AbstractOptimizerConfiguration

Parameters:

useFG - true if the Optimizer has to use the IFunction's calculation of the gradient, false otherwise.

setMethod

public void setMethod(String method)

Description copied from class: AbstractOptimizerConfiguration

Set the method to be used by the optimizer in the optimization procedure.

Specified by:

setMethod in interface IOptimizerConfiguration

Overrides:

setMethod in class AbstractOptimizerConfiguration

Parameters:

method - The method to be adapted.

method

public String method()

Description copied from class: AbstractOptimizerConfiguration

Get the method used by the optimizer in the optimization procedure.

Specified by:

method in interface IOptimizerConfiguration

Overrides:

method in class AbstractOptimizerConfiguration

Returns:

The method used.

setStrategy

public void setStrategy(int strategy)

Description copied from class: AbstractOptimizerConfiguration

Set the strategy to be used by the optimizer in the optimization procedure.

Specified by:

setStrategy in interface IOptimizerConfiguration

Overrides:

setStrategy in class AbstractOptimizerConfiguration

Parameters:

strategy - The strategy.

strategy

public int strategy()

Description copied from class: AbstractOptimizerConfiguration

Get the strategy used by the optimizer in the optimization procedure.

Specified by:

strategy in interface IOptimizerConfiguration

Overrides:

strategy in class AbstractOptimizerConfiguration

Returns:

The strategy.

setUseFunctionHessian

public void setUseFunctionHessian(boolean useHessian)

Description copied from class: AbstractOptimizerConfiguration

Specify if the optimizer has to use the Hessian as provided by the IFunction.

Specified by:

setUseFunctionHessian in interface IOptimizerConfiguration

Overrides:

setUseFunctionHessian in class AbstractOptimizerConfiguration

Parameters:

useHessian - true if the Optimizer has to use the IFunction's calculation of the Hessian, false otherwise.

setPrecision

public void setPrecision(double precision)

Description copied from class: AbstractOptimizerConfiguration

Set the precision required in the optimizer's calculations. The highest possible is the machine's precision.

Specified by:

setPrecision in interface IOptimizerConfiguration

Overrides:

setPrecision in class AbstractOptimizerConfiguration

Parameters:

precision - The precision.

Returns:

true if the precision was set succesfully, false otherwise.