Package gov.nih.mipav.model.algorithms
Class AlgorithmSM2.FitSM2ConstrainedModel
java.lang.Object
gov.nih.mipav.model.algorithms.NLConstrainedEngine
gov.nih.mipav.model.algorithms.AlgorithmSM2.FitSM2ConstrainedModel
- Enclosing class:
AlgorithmSM2
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Field Summary
FieldsFields 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
ConstructorsConstructorDescriptionFitSM2ConstrainedModel(int nPoints, double[] yData, double[] initial) Creates a new FitDEMRI3ConstrainedModel object. -
Method Summary
Modifier and TypeMethodDescriptionvoiddriver()Starts the analysis.voidDisplay results of displaying SM2 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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Field Details
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yData
private final double[] yData
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Constructor Details
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FitSM2ConstrainedModel
public FitSM2ConstrainedModel(int nPoints, double[] yData, double[] initial) Creates a new FitDEMRI3ConstrainedModel object.- Parameters:
nPoints- DOCUMENT ME!yData- DOCUMENT ME!initial- 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 SM2 fitting parameters. -
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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