AlgorithmDEMRI3.Fit25HModel (MIPAV API Documentation)

java.lang.Object
- gov.nih.mipav.model.algorithms.NLConstrainedEngine
- - gov.nih.mipav.model.algorithms.AlgorithmDEMRI3.Fit25HModel

Enclosing class:: AlgorithmDEMRI3

class AlgorithmDEMRI3.Fit25HModel
extends NLConstrainedEngine

DOCUMENT ME!

Field Summary

Fields
Modifier and Type Field Description

private double[] xData

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

Fit25HModel(int nPoints, double[] xData, double[] yData, double[] initial)
Creates a new Fit25HModel object.

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 - Math.pow((a[0] * Math.log(xSeries[i])),a[1]) + a[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
  - xData
```
private double[] xData
```
  - yData
```
private double[] yData
```
- Constructor Detail
  - Fit25HModel
```
public Fit25HModel(int nPoints,
                   double[] xData,
                   double[] yData,
                   double[] initial)
```
    Creates a new Fit25HModel object.
    
    Parameters:
    
    nPoints - DOCUMENT ME!
    
    xData - DOCUMENT ME!
    
    yData - DOCUMENT ME!
    
    initial - DOCUMENT ME!
- 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 - Math.pow((a[0] * Math.log(xSeries[i])),a[1]) + a[2]
    
    Specified by:
    
    fitToFunction in class NLConstrainedEngine
    
    Parameters:
    
    a - The x value of the data point.
    
    residuals - The best guess parameter values.
    
    covarMat - The derivative values of y with respect to fitting parameters.