Package gov.nih.mipav.model.algorithms

Class AlgorithmContrastEnhancementUsingExposureFusion.kFitting

java.lang.Object

gov.nih.mipav.model.algorithms.NLConstrainedEngine

gov.nih.mipav.model.algorithms.AlgorithmContrastEnhancementUsingExposureFusion.kFitting

Enclosing class:

AlgorithmContrastEnhancementUsingExposureFusion

class AlgorithmContrastEnhancementUsingExposureFusion.kFitting
extends NLConstrainedEngine

Field Summary

Fields

Modifier and Type	Field	Description
(package private) double	ac
(package private) double	bc
(package private) double[]	J
(package private) int	numValues
(package private) double[]	validValues

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
kFitting(double[] x0, double[] validValues)

Method Summary

Modifier and Type	Method	Description
void	driver()	Starts the analysis.
void	dumpResults()	Display results of kFitting.
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

Field Details

validValues

double[] validValues

numValues

int numValues

J

double[] J

ac

double ac

bc

double bc

Constructor Details

kFitting

public kFitting(double[] x0,
 double[] validValues)

Method Details

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 kFitting.