Package gov.nih.mipav.model.algorithms
Class AlgorithmSM2.FitSM2ConstrainedModel
- java.lang.Object
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- gov.nih.mipav.model.algorithms.NLConstrainedEngine
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- gov.nih.mipav.model.algorithms.AlgorithmSM2.FitSM2ConstrainedModel
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- Enclosing class:
- AlgorithmSM2
class AlgorithmSM2.FitSM2ConstrainedModel extends NLConstrainedEngine
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Field Summary
Fields Modifier and Type Field Description private double[]
yData
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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 FitSM2ConstrainedModel(int nPoints, double[] yData, double[] initial)
Creates a new FitDEMRI3ConstrainedModel object.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description void
driver()
Starts the analysis.void
dumpResults()
Display results of displaying SM2 fitting parameters.void
fitToFunction(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:
driver
in classNLConstrainedEngine
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dumpResults
public void dumpResults()
Display results of displaying SM2 fitting parameters.
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fitToFunction
public void fitToFunction(double[] a, double[] residuals, double[][] covarMat)
Description copied from class:NLConstrainedEngine
fitToFunction 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:
fitToFunction
in 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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