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

Enclosing class:: AlgorithmTimeFitting

class AlgorithmTimeFitting.FitExponential
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
`FitExponential(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 exponential fitting parameters.
`void`	`fitToFunction(double[] a, double[] residuals, double[][] covarMat)`	Fit to function - a0 + a1exp(a2x).

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

FitExponential

public FitExponential(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 exponential fitting parameters.
- fitToFunction
```
public void fitToFunction(double[] a,
                          double[] residuals,
                          double[][] covarMat)
```
  Fit to function - a0 + a1*exp(a2*x).
  
  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.

Class AlgorithmTimeFitting.FitExponential

Field Summary

Fields inherited from class gov.nih.mipav.model.algorithms.NLConstrainedEngine

Constructor Summary

Method Summary

Methods inherited from class gov.nih.mipav.model.algorithms.NLConstrainedEngine

Methods inherited from class java.lang.Object

Field Detail

ydata

Constructor Detail

FitExponential

Method Detail

driver

dumpResults

fitToFunction