AlgorithmTimeFitting.FitGaussian (MIPAV API Documentation)

java.lang.Object
- gov.nih.mipav.model.algorithms.NLConstrainedEngine
- - gov.nih.mipav.model.algorithms.AlgorithmTimeFitting.FitGaussian

Enclosing class:: AlgorithmTimeFitting

class AlgorithmTimeFitting.FitGaussian
extends NLConstrainedEngine

Field Summary

Fields
Modifier and Type Field Description

(package private) double[] 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

Constructor Summary

Constructors
Constructor	Description
`FitGaussian(int tDim, double[] ydata, double[] initial, boolean[] useBounds, double[] lowBounds, double[] highBounds)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`driver()`	Starts the analysis.
`void`	`dumpResults()`	Display results of displaying Gaussian fitting parameters.
`void`	`fitToFunction(double[] a, double[] residuals, double[][] covarMat)`	Fit to function - a0exp(-(t-a1)^2/(2(a2)^2))

Methods inherited from class gov.nih.mipav.model.algorithms.NLConstrainedEngine
dumpTestResults, fitToTestFunction, getChiSquared, getExitStatus, getIterations, getParameters, getResiduals, statusMessage

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - ydata
```
final double[] ydata
```
- Constructor Detail
  - FitGaussian
```
public FitGaussian(int tDim,
                   double[] ydata,
                   double[] initial,
                   boolean[] useBounds,
                   double[] lowBounds,
                   double[] highBounds)
```
- Method Detail
  - driver
```
public void driver()
```
    Starts the analysis.
    
    Overrides:
    
    driver in class NLConstrainedEngine
  - dumpResults
```
public void dumpResults()
```
    Display results of displaying Gaussian fitting parameters.
  - fitToFunction
```
public void fitToFunction(double[] a,
                          double[] residuals,
                          double[][] covarMat)
```
    Fit to function - a0*exp(-(t-a1)^2/(2*(a2)^2))
    
    Specified by:
    
    fitToFunction in class NLConstrainedEngine
    
    Parameters:
    
    a - The best guess parameter values.
    
    residuals - ymodel - yData.
    
    covarMat - The derivative values of y with respect to fitting parameters.