Package gov.nih.mipav.model.algorithms

Class NLFittedFunction

java.lang.Object

gov.nih.mipav.model.algorithms.NLConstrainedEngine

gov.nih.mipav.model.algorithms.NLFittedFunction

Direct Known Subclasses:

FitExponential, FitGaussian, FitLaplace, FitLine, FitLorentz, FitMultiExponential, FitRayleigh

public abstract class NLFittedFunction
extends NLConstrainedEngine

Field Summary

Fields

Modifier and Type	Field	Description
protected double	chisq	Total error as X^2
static double	EPSILON	Minimum allowable distance between iterations of a coefficient before considered converged.
static int	MAX_ITR	Max number of iterations to perform.
static int	MIN_ITR	Min number of iterations to perform.
protected double[]	xSeries	Original xData
protected double[]	yDataFitted	Fitted y-data, based on original x points.
protected double[]	ySeries	Original y data

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
NLFittedFunction(int pts, int _ma)

Method Summary

Modifier and Type	Method	Description
protected abstract void	calculateChiSq()	Calculates chi squared
protected abstract void	calculateFittedY()	Calculates yDataFitted
abstract void	displayResults()	Displays results in a panel with relevant parameters.
protected abstract 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
double	getChisq()
double[]	getFittedY()
protected double	getMedian(double[] toSort)	get median of given array

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

driver, dumpTestResults, fitToFunction, 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

MAX_ITR

public static final int MAX_ITR

Max number of iterations to perform.

See Also:

Constant Field Values

MIN_ITR

public static final int MIN_ITR

Min number of iterations to perform.

See Also:

Constant Field Values

EPSILON

public static final double EPSILON

Minimum allowable distance between iterations of a coefficient before considered converged.

See Also:

Constant Field Values

xSeries

protected double[] xSeries

Original xData

ySeries

protected double[] ySeries

Original y data

chisq

protected double chisq

Total error as X^2

yDataFitted

protected double[] yDataFitted

Fitted y-data, based on original x points.

Constructor Detail

NLFittedFunction

public NLFittedFunction(int pts,
                        int _ma)

Method Detail

getFittedY

public double[] getFittedY()

calculateChiSq

protected abstract void calculateChiSq()

Calculates chi squared

calculateFittedY

protected abstract void calculateFittedY()

Calculates yDataFitted

displayResults

public abstract void displayResults()

Displays results in a panel with relevant parameters.

getChisq

public double getChisq()

getMedian

protected double getMedian(double[] toSort)

get median of given array

generateResiduals

protected abstract 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

Returns: