Package gov.nih.mipav.model.algorithms

Class AlgorithmFRAP.FitWholeNLConModel2

java.lang.Object

gov.nih.mipav.model.algorithms.NLConstrainedEngine

gov.nih.mipav.model.algorithms.AlgorithmFRAP.FitWholeNLConModel2

Enclosing class:

AlgorithmFRAP

class AlgorithmFRAP.FitWholeNLConModel2
extends NLConstrainedEngine

DOCUMENT ME!

Field Summary

Fields

Modifier and Type	Field	Description
(package private) double	abscissa	DOCUMENT ME!
(package private) double	absEps	DOCUMENT ME!
(package private) int[]	errStatus	DOCUMENT ME!
(package private) double[]	estErr	DOCUMENT ME!
(package private) int[]	evaluations	DOCUMENT ME!
(package private) double	relEps	DOCUMENT ME!
(package private) double[]	result	DOCUMENT ME!
private double[]	xData
private float[]	yData

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
FitWholeNLConModel2(int nPoints, double[] xData, float[] yData, double[] initial, double abscissa, double relEps, double absEps, double[] result, double[] estErr, int[] evaluations, int[] errStatus)	Creates a new FitWholeNLConModel2 object.

Method Summary

Modifier and Type	Method	Description
void	driver()	Starts the analysis.
void	dumpResults()	Display results of displaying exponential fitting parameters.
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

xData

private double[] xData

yData

private float[] yData

abscissa

double abscissa

DOCUMENT ME!

absEps

double absEps

DOCUMENT ME!

errStatus

int[] errStatus

DOCUMENT ME!

estErr

double[] estErr

DOCUMENT ME!

evaluations

int[] evaluations

DOCUMENT ME!

relEps

double relEps

DOCUMENT ME!

result

double[] result

DOCUMENT ME!

Constructor Details

FitWholeNLConModel2

public FitWholeNLConModel2(int nPoints,
 double[] xData,
 float[] yData,
 double[] initial,
 double abscissa,
 double relEps,
 double absEps,
 double[] result,
 double[] estErr,
 int[] evaluations,
 int[] errStatus)

Creates a new FitWholeNLConModel2 object.

Parameters:

nPoints - DOCUMENT ME!

xData - DOCUMENT ME!

yData - DOCUMENT ME!

initial - DOCUMENT ME!

abscissa - DOCUMENT ME!

relEps - DOCUMENT ME!

absEps - DOCUMENT ME!

result - DOCUMENT ME!

estErr - DOCUMENT ME!

evaluations - DOCUMENT ME!

errStatus - DOCUMENT ME!

Method Details

driver

public void driver()

Starts the analysis.

Overrides:

driver in class NLConstrainedEngine

dumpResults

public void dumpResults()

Display results of displaying exponential fitting parameters.

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.