Package gov.nih.mipav.model.algorithms

Class FitRayleigh

java.lang.Object

gov.nih.mipav.model.algorithms.NLConstrainedEngine

gov.nih.mipav.model.algorithms.NLFittedFunction

gov.nih.mipav.model.algorithms.FitRayleigh

public class FitRayleigh
extends NLFittedFunction

For -infinity < a < +infinity and b > 0 y = scale factor * (2/b)*(x - a)*exp(-((x-a)**2)/b)*u(x - a) where u(x-a) = 0 for x < a and = 1 for x >= a. cumulative function = [1 - exp(-((x-a)**2)/b)]*u(x-a) Mean of x = a + sqrt(PI*b/4) Variance of x = b*(4 - PI)/4

Field Summary

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

chisq, EPSILON, MAX_ITR, MIN_ITR, xSeries, yDataFitted, ySeries

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
FitRayleigh()	Creates a new FitRayleigh object.
FitRayleigh(int nPoints, float[] xData, float[] yData)	FitRayleigh.

Method Summary

Modifier and Type	Method	Description
protected void	calculateChiSq()	Calculates chi squared
protected void	calculateFittedY()	Calculates yDataFitted
void	displayResults()	Display results of displaying linear fitting parameters.
void	fitToFunction(double[] a, double[] residuals, double[][] jacobian)	Fit Rayleigh to function.
protected Jama.Matrix	generateResiduals()	Calculates the residuals for a given function, not implemented since some functions might prefer to only use a subset of data points, or not use yDataFitted if working during an iteration
private void	setupData()	Sets up data to test fitting of Rayleigh distribution.

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

getChisq, getFittedY, getMedian

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

driver, 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

FitRayleigh

public FitRayleigh()

Creates a new FitRayleigh object.

FitRayleigh

public FitRayleigh(int nPoints,
                   float[] xData,
                   float[] yData)

FitRayleigh.

Parameters:

nPoints - number of points in the function

xData - DOCUMENT ME!

yData - DOCUMENT ME!

Method Detail

displayResults

public void displayResults()

Display results of displaying linear fitting parameters.

Specified by:

displayResults in class NLFittedFunction

fitToFunction

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

Fit Rayleigh to function.

Specified by:

fitToFunction in class NLConstrainedEngine

Parameters:

a - The best guess parameter values.

residuals - ymodel - yData.

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

setupData

private void setupData()

Sets up data to test fitting of Rayleigh distribution.

calculateFittedY

protected void calculateFittedY()

Description copied from class: NLFittedFunction

Calculates yDataFitted

Specified by:

calculateFittedY in class NLFittedFunction

generateResiduals

protected Jama.Matrix generateResiduals()

Description copied from class: NLFittedFunction

Calculates the residuals for a given function, not implemented since some functions might prefer to only use a subset of data points, or not use yDataFitted if working during an iteration

Specified by:

generateResiduals in class NLFittedFunction

Returns:

calculateChiSq

protected void calculateChiSq()

Description copied from class: NLFittedFunction

Calculates chi squared

Specified by:

calculateChiSq in class NLFittedFunction