hep.aida.ref.optimizer

Class OptimizerResult

java.lang.Object

hep.aida.ref.optimizer.OptimizerResult

All Implemented Interfaces:

IOptimizerResult

public class OptimizerResult
extends java.lang.Object
implements IOptimizerResult

Implementation of IOptimizerResult

Field Summary

Fields inherited from interface hep.aida.ext.IOptimizerResult

APPROXIMATE, CONVERGED, CONVERGED_NEG_MATRIX, CONVERGED_SMALL_GRADIENT, CONVERGED_SMALL_STEP_SIZE, NOT_CONVERGED, REACHED_MAX_ITER, TOO_MANY_LARGE_STEPS, UNDEFINED

Constructor Summary

Constructors

Constructor and Description
OptimizerResult() Creates a new instance of OptimizerResult

Method Summary

Modifier and Type	Method and Description
IOptimizerConfiguration	configuration() The optimizer's configuration.
IDomainConstraint	constraints() The constraints used in the optimization.
java.lang.Object	contour(int nSigma, int nPoints, IVariable var1, IVariable var2) Get the contour with respec to two variables.
double[][]	correlationMatrix() The correlation matrix.
double[][]	covarianceMatrix() The covariance matrix.
int	optimizationStatus() The status of the optimizer after the optimization procedure.
double[]	parameters()
java.lang.Object	scan(int nPoints, IVariable var) Scan the function with respect to a variable.
java.lang.Object	scan(int nPoints, IVariable var1, IVariable var2) Scan the function with respect to two variables.
void	setCorrelationMatrix(double[][] corrMatrix)
void	setCovarianceMatrix(double[][] covMatrix)
void	setOptimizationStatus(int status)
void	setParameters(double[] pars)

Methods inherited from class java.lang.Object

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

Constructor Detail

OptimizerResult

public OptimizerResult()

Creates a new instance of OptimizerResult

Method Detail

parameters

public double[] parameters()

Specified by:

parameters in interface IOptimizerResult

setParameters

public void setParameters(double[] pars)

constraints

public IDomainConstraint constraints()

The constraints used in the optimization.

Specified by:

constraints in interface IOptimizerResult

Returns:

The domain of constraints.

configuration

public IOptimizerConfiguration configuration()

The optimizer's configuration.

Specified by:

configuration in interface IOptimizerResult

Returns:

The optimizer's configuration.

covarianceMatrix

public double[][] covarianceMatrix()

The covariance matrix. Still under discussion

Specified by:

covarianceMatrix in interface IOptimizerResult

setCovarianceMatrix

public void setCovarianceMatrix(double[][] covMatrix)

correlationMatrix

public double[][] correlationMatrix()

The correlation matrix. Still under discussion.

Specified by:

correlationMatrix in interface IOptimizerResult

setCorrelationMatrix

public void setCorrelationMatrix(double[][] corrMatrix)

contour

public java.lang.Object contour(int nSigma,
                                int nPoints,
                                IVariable var1,
                                IVariable var2)

Get the contour with respec to two variables.

Specified by:

contour in interface IOptimizerResult

Parameters:

nSigma - The number of sigmas at which the contour should be calculated.

nPoints - The maximum number of points on the contour (might be less).

var1 - The first variable.

var2 - The second variable.

Returns:

The Object containing the contour (to be fixed).

scan

public java.lang.Object scan(int nPoints,
                             IVariable var1,
                             IVariable var2)

Scan the function with respect to two variables.

Specified by:

scan in interface IOptimizerResult

Parameters:

nPoints - The number of points to be used in the scan.

var1 - The first variable.

var2 - The second variable.

Returns:

The Object containing the scan (to be fixed).

scan

public java.lang.Object scan(int nPoints,
                             IVariable var)

Scan the function with respect to a variable.

Specified by:

scan in interface IOptimizerResult

Parameters:

nPoints - The number of points to be used in the scan.

var - The variable.

Returns:

The Object containing the scan (to be fixed).

optimizationStatus

public int optimizationStatus()

The status of the optimizer after the optimization procedure.

Specified by:

optimizationStatus in interface IOptimizerResult

Returns:

The status of the optimization.

setOptimizationStatus

public void setOptimizationStatus(int status)