Package gov.nih.mipav.model.algorithms
Class AlgorithmAutoCorrelation.FitCorrelationModel
- java.lang.Object
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- gov.nih.mipav.model.algorithms.NLConstrainedEngine
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- gov.nih.mipav.model.algorithms.AlgorithmAutoCorrelation.FitCorrelationModel
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- Enclosing class:
- AlgorithmAutoCorrelation
class AlgorithmAutoCorrelation.FitCorrelationModel extends NLConstrainedEngine
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Field Summary
Fields Modifier and Type Field Description private float[]xDataprivate 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
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Constructor Summary
Constructors Constructor Description FitCorrelationModel(int nPoints, float[] xData, float[] yData, double[] initial)Creates a new FitCorrelationModel object.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description voiddriver()Starts the analysis.voiddumpResults()Display results of displaying exponential fitting parameters.voidfitToFunction(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
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Method Detail
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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.
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fitToFunction
public void fitToFunction(double[] a, double[] residuals, double[][] covarMat)Description copied from class:NLConstrainedEnginefitToFunction 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:
fitToFunctionin classNLConstrainedEngine- Parameters:
a- The best guess parameter values.residuals- ymodel - yData.covarMat- The derivative values of y with respect to fitting parameters.
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