Package gov.nih.mipav.model.algorithms
Class AlgorithmELSUNCOpt3D.FitOAR3DELSUNCModel
java.lang.Object
gov.nih.mipav.model.algorithms.NLConstrainedEngine
gov.nih.mipav.model.algorithms.AlgorithmELSUNCOpt3D.FitOAR3DELSUNCModel
- Enclosing class:
AlgorithmELSUNCOpt3D
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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
ConstructorsConstructorDescriptionFitOAR3DELSUNCModel(int currentDim, double[] point) Creates a new FitOAR3DConstrainedModel object. -
Method Summary
Modifier and TypeMethodDescriptionvoidDisplay results of displaying OAR3D 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
driver, dumpTestResults, fitToTestFunction, getChiSquared, getExitStatus, getIterations, getParameters, getResiduals, statusMessage
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Field Details
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currentDim
private int currentDim -
point
private double[] point
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Constructor Details
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FitOAR3DELSUNCModel
public FitOAR3DELSUNCModel(int currentDim, double[] point) Creates a new FitOAR3DConstrainedModel object.- Parameters:
currentDim- Only optimize along 1 dimension at a time
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Method Details
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dumpResults
public void dumpResults()Display results of displaying OAR3D 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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