Package gov.nih.mipav.model.algorithms

Class DSC_MRI_toolbox.GVFitting

java.lang.Object

gov.nih.mipav.model.algorithms.NLConstrainedEngine

gov.nih.mipav.model.algorithms.DSC_MRI_toolbox.GVFitting

Enclosing class:

DSC_MRI_toolbox

class DSC_MRI_toolbox.GVFitting
extends NLConstrainedEngine

Field Summary

Fields inherited from class gov.nih.mipav.model.algorithms.NLConstrainedEngine

a, absoluteConvergence, analyticalJacobian, bl, bounds, bu, ctrlMat, dyda, gues, internalScaling, iters, jacobian, maxIterations, nPts, outputMes, param, parameterConvergence, relativeConvergence, residuals, secondAllowed, stdv, tolerance

Constructor Summary

Constructors

Constructor	Description
GVFitting(double[] x0, boolean doAnalytical)

Method Summary

Modifier and Type	Method	Description
void	driver()	Starts the analysis.
void	dumpResults()	Display results of gammma-variate curve Fitting.
void	fitToFunction(double[] a, double[] residuals, double[][] covarMat)	Fit to function.

Methods inherited from class gov.nih.mipav.model.algorithms.NLConstrainedEngine

dumpTestResults, fitToTestFunction, getChiSquared, getExitStatus, getIterations, getParameters, getResiduals, statusMessage

Methods inherited from class java.lang.Object

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

Constructor Detail

GVFitting

public GVFitting(double[] x0,
                 boolean doAnalytical)

Method Detail

fitToFunction

public void fitToFunction(double[] a,
                          double[] residuals,
                          double[][] covarMat)

Fit to function.

Specified by:

fitToFunction in class NLConstrainedEngine

Parameters:

a - The x value of the data point.

residuals - The best guess parameter values.

covarMat - The derivative values of y with respect to fitting parameters.

driver

public void driver()

Starts the analysis.

Overrides:

driver in class NLConstrainedEngine

dumpResults

public void dumpResults()

Display results of gammma-variate curve Fitting.