hep.aida.ref.optimizer

Class AbstractOptimizerConfiguration

java.lang.Object

hep.aida.ref.optimizer.AbstractOptimizerConfiguration

All Implemented Interfaces:

IOptimizerConfiguration

Direct Known Subclasses:

FminOptimizerConfiguration, MinpackOptimizerConfiguration, UncminOptimizerConfiguration

public abstract class AbstractOptimizerConfiguration
extends java.lang.Object
implements IOptimizerConfiguration

Implementation of IOptimizerConfiguration for the AbstractOptimizer implementation

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

Constructors

Constructor and Description
AbstractOptimizerConfiguration()

Method Summary

Modifier and Type	Method and Description
int	errorDefinition() Get the optimizer's error definition.
int	maxIterations() Get the maximum number of iterations allowed before exiting the optimization procedure.
java.lang.String	method() Get the method used by the optimizer in the optimization procedure.
double	precision() Get the internal precision of the Optimizer.
int	printLevel() Get the printout level.
void	setErrorDefinition(int errorDefinition) Tell the optmizer what kind of errors to calculate.
void	setMaxIterations(int maxIterations) Set the maximum number of iterations to be performed in the optimization procedure.
void	setMethod(java.lang.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	setPrintLevel(int printLevel) Set the printout level.
void	setStrategy(int strategy) Set the strategy to be used by the optimizer in the optimization procedure.
void	setTitle(java.lang.String title) Set the title for the current optimization problem.
void	setTolerance(double tolerance) Set the optimizer's tolerance.
void	setUseFunctionGradient(boolean useGradient) 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.
java.lang.String	title() Get the title.
double	tolerance() Get the optimizer's tolerance.
boolean	useFunctionGradient() See if the optimizer uses the IFunction's evaluation of the gradient.
boolean	useFunctionHessian() See if the optimizer uses the IFunction's evaluation of the Hessian.

Methods inherited from class java.lang.Object

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

Constructor Detail

AbstractOptimizerConfiguration

public AbstractOptimizerConfiguration()

Method Detail

setErrorDefinition

public void setErrorDefinition(int errorDefinition)
                        throws java.lang.IllegalArgumentException

Tell the optmizer what kind of errors to calculate.

Specified by:

setErrorDefinition in interface IOptimizerConfiguration

Parameters:

errorDefinition - The type of error to be calculated.

Throws:

java.lang.IllegalArgumentException

errorDefinition

public int errorDefinition()

Get the optimizer's error definition.

Specified by:

errorDefinition in interface IOptimizerConfiguration

Returns:

The error definition.

setMaxIterations

public void setMaxIterations(int maxIterations)

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

Parameters:

maxIterations - The maximum number of iterations.

maxIterations

public int maxIterations()

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

Specified by:

maxIterations in interface IOptimizerConfiguration

Returns:

The maximum number of iterations.

setMethod

public void setMethod(java.lang.String method)

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

Specified by:

setMethod in interface IOptimizerConfiguration

Parameters:

method - The method to be adapted.

method

public java.lang.String method()

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

Specified by:

method in interface IOptimizerConfiguration

Returns:

The method used.

setPrecision

public void setPrecision(double precision)

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

Specified by:

setPrecision in interface IOptimizerConfiguration

Parameters:

precision - The precision.

precision

public double precision()

Get the internal precision of the Optimizer.

Specified by:

precision in interface IOptimizerConfiguration

Returns:

The precision.

setPrintLevel

public void setPrintLevel(int printLevel)

Set the printout level.

Specified by:

setPrintLevel in interface IOptimizerConfiguration

Parameters:

printLevel - The printout level.

printLevel

public int printLevel()

Get the printout level.

Specified by:

printLevel in interface IOptimizerConfiguration

Returns:

the printout level.

setStrategy

public void setStrategy(int strategy)

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

Specified by:

setStrategy in interface IOptimizerConfiguration

Parameters:

strategy - The strategy.

strategy

public int strategy()

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

Specified by:

strategy in interface IOptimizerConfiguration

Returns:

The strategy.

setTitle

public void setTitle(java.lang.String title)

Set the title for the current optimization problem.

Specified by:

setTitle in interface IOptimizerConfiguration

Parameters:

title - The title.

title

public java.lang.String title()

Get the title.

Specified by:

title in interface IOptimizerConfiguration

Returns:

The title.

setTolerance

public void setTolerance(double tolerance)

Set the optimizer's tolerance. The tolerance is used to determine if the optimizer converged to an optimal solution.

Specified by:

setTolerance in interface IOptimizerConfiguration

Parameters:

tolerance - The tolerance.

tolerance

public double tolerance()

Get the optimizer's tolerance.

Specified by:

tolerance in interface IOptimizerConfiguration

Returns:

The tolerance.

setUseFunctionGradient

public void setUseFunctionGradient(boolean useGradient)

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

Specified by:

setUseFunctionGradient in interface IOptimizerConfiguration

Parameters:

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

useFunctionGradient

public boolean useFunctionGradient()

See if the optimizer uses the IFunction's evaluation of the gradient.

Specified by:

useFunctionGradient in interface IOptimizerConfiguration

Returns:

true if the optimizer uses the IFunction's evaluation of the gradient.

setUseFunctionHessian

public void setUseFunctionHessian(boolean useHessian)

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

Specified by:

setUseFunctionHessian in interface IOptimizerConfiguration

Parameters:

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

useFunctionHessian

public boolean useFunctionHessian()

See if the optimizer uses the IFunction's evaluation of the Hessian.

Specified by:

useFunctionHessian in interface IOptimizerConfiguration

Returns:

true if the optimizer uses the IFunction's evaluation of the Hessian.