Package gov.nih.mipav.model.algorithms

Class AlgorithmFRAP.FitDoubleExponentialModel

java.lang.Object

gov.nih.mipav.model.algorithms.NLConstrainedEngine

gov.nih.mipav.model.algorithms.AlgorithmFRAP.FitDoubleExponentialModel

Enclosing class:

AlgorithmFRAP

class AlgorithmFRAP.FitDoubleExponentialModel
extends NLConstrainedEngine

DOCUMENT ME!

Field Summary

Fields

Modifier and Type	Field	Description
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
FitDoubleExponentialModel(int nPoints, double[] xData, float[] yData, double[] initial)	Creates a new FitDoubleExponentialModel object.

Method Summary

Modifier and Type	Method	Description
void	driver()	Starts the analysis.
void	dumpResults()	Display results of displaying exponential fitting parameters.
double[]	fitToFunction(double[] x1, double[] atry)	Fit to function - a3 + a4*[1 - ao*exp(a1*x) - (1 - a0)*exp(a2*x)].
void	fitToFunction(double[] a, double[] residuals, double[][] covarMat)	fitToFunction communicates with 3 protected variables param, nPts, and ctrlMat ctrlMat is used as a wrapper for ctrl or lctrl.

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

Constructor Details

FitDoubleExponentialModel

public FitDoubleExponentialModel(int nPoints,
 double[] xData,
 float[] yData,
 double[] initial)

Creates a new FitDoubleExponentialModel object.

Parameters:

nPoints - DOCUMENT ME!

xData - DOCUMENT ME!

yData - DOCUMENT ME!

initial - 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)

Description copied from class: NLConstrainedEngine

fitToFunction communicates with 3 protected variables param, nPts, and ctrlMat ctrlMat is used as a wrapper for ctrl or lctrl. Evaluates the residuals or the Jacobian at a certain a[]

Specified by:

fitToFunction in class NLConstrainedEngine

Parameters:

a - The best guess parameter values.

residuals - ymodel - yData.

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

fitToFunction

public double[] fitToFunction(double[] x1,
 double[] atry)

Fit to function - a3 + a4*[1 - ao*exp(a1*x) - (1 - a0)*exp(a2*x)].

Parameters:

x1 - The x value of the data point.

atry - The best guess parameter values.

Returns:

The calculated y value.