Package gov.nih.mipav.model.algorithms

Class AlgorithmTimeFitting.FitExponential

java.lang.Object

gov.nih.mipav.model.algorithms.NLConstrainedEngine

gov.nih.mipav.model.algorithms.AlgorithmTimeFitting.FitExponential

Enclosing class:

AlgorithmTimeFitting

class AlgorithmTimeFitting.FitExponential
extends NLConstrainedEngine

Field Summary

Fields

Modifier and Type	Field	Description
(package private) double[]	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
FitExponential(int tDim, double[] ydata, double[] initial, boolean[] useBounds, double[] lowBounds, double[] highBounds)

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 - a0 + a1*exp(a2*x).

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 Detail

ydata

final double[] ydata

Constructor Detail

FitExponential

public FitExponential(int tDim,
                      double[] ydata,
                      double[] initial,
                      boolean[] useBounds,
                      double[] lowBounds,
                      double[] highBounds)

Method Detail

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 - a0 + a1*exp(a2*x).

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.