Package gov.nih.mipav.model.algorithms
Class AlgorithmFRAP.FitWholeNLConInt2
java.lang.Object
gov.nih.mipav.model.algorithms.NLConstrainedEngine
gov.nih.mipav.model.algorithms.AlgorithmFRAP.FitWholeNLConInt2
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AlgorithmFRAP
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Field Summary
FieldsModifier and TypeFieldDescription(package private) doubleDOCUMENT ME!(package private) doubleDOCUMENT ME!(package private) doubleDOCUMENT ME!(package private) intDOCUMENT ME!(package private) intDOCUMENT ME!(package private) doubleDOCUMENT ME!(package private) double[]DOCUMENT ME!(package private) doubleDOCUMENT ME!(package private) double[](package private) float[]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
ConstructorsConstructorDescriptionFitWholeNLConInt2(int nPoints, double[] xData, float[] yData, double[] initial, double[] result) Creates a new FitWholeNLConInt2 object. -
Method Summary
Modifier and TypeMethodDescriptionvoiddriver()Starts the analysis.voidDisplay results of displaying exponential fitting parameters.voidfitToFunction(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
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Field Details
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xData
double[] xData -
yData
float[] yData -
bound
double boundDOCUMENT ME! -
epsabs
double epsabsDOCUMENT ME! -
epsrel
double epsrelDOCUMENT ME! -
inf
int infDOCUMENT ME! -
limit
int limitDOCUMENT ME! -
lower
double lowerDOCUMENT ME! -
result
double[] resultDOCUMENT ME! -
upper
double upperDOCUMENT ME!
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Constructor Details
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FitWholeNLConInt2
public FitWholeNLConInt2(int nPoints, double[] xData, float[] yData, double[] initial, double[] result) Creates a new FitWholeNLConInt2 object.- Parameters:
nPoints- DOCUMENT ME!xData- DOCUMENT ME!yData- DOCUMENT ME!initial- DOCUMENT ME!result- DOCUMENT ME!
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Method Details
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driver
public void driver()Starts the analysis.- Overrides:
driverin classNLConstrainedEngine
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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:
fitToFunctionin classNLConstrainedEngine- 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.
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