java.lang.Object
- gov.nih.mipav.model.algorithms.NLConstrainedEngine
- - gov.nih.mipav.model.algorithms.AlgorithmFRAP.FitWholeNLConModel2

Enclosing class:: AlgorithmFRAP

class AlgorithmFRAP.FitWholeNLConModel2
extends NLConstrainedEngine

DOCUMENT ME!

Field Summary

Fields
Modifier and Type	Field	Description
`(package private) double`	`abscissa`	DOCUMENT ME!
`(package private) double`	`absEps`	DOCUMENT ME!
`(package private) int[]`	`errStatus`	DOCUMENT ME!
`(package private) double[]`	`estErr`	DOCUMENT ME!
`(package private) int[]`	`evaluations`	DOCUMENT ME!
`(package private) double`	`relEps`	DOCUMENT ME!
`(package private) double[]`	`result`	DOCUMENT ME!
`private double[]`	`xData`
`private float[]`	`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
`FitWholeNLConModel2(int nPoints, double[] xData, float[] yData, double[] initial, double abscissa, double relEps, double absEps, double[] result, double[] estErr, int[] evaluations, int[] errStatus)`	Creates a new FitWholeNLConModel2 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.

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 float[] yData
```
  - abscissa
```
double abscissa
```
    DOCUMENT ME!
  - absEps
```
double absEps
```
    DOCUMENT ME!
  - errStatus
```
int[] errStatus
```
    DOCUMENT ME!
  - estErr
```
double[] estErr
```
    DOCUMENT ME!
  - evaluations
```
int[] evaluations
```
    DOCUMENT ME!
  - relEps
```
double relEps
```
    DOCUMENT ME!
  - result
```
double[] result
```
    DOCUMENT ME!
- Constructor Detail
  - FitWholeNLConModel2
```
public FitWholeNLConModel2(int nPoints,
                           double[] xData,
                           float[] yData,
                           double[] initial,
                           double abscissa,
                           double relEps,
                           double absEps,
                           double[] result,
                           double[] estErr,
                           int[] evaluations,
                           int[] errStatus)
```
    Creates a new FitWholeNLConModel2 object.
    
    Parameters:
    
    nPoints - DOCUMENT ME!
    
    xData - DOCUMENT ME!
    
    yData - DOCUMENT ME!
    
    initial - DOCUMENT ME!
    
    abscissa - DOCUMENT ME!
    
    relEps - DOCUMENT ME!
    
    absEps - DOCUMENT ME!
    
    result - DOCUMENT ME!
    
    estErr - DOCUMENT ME!
    
    evaluations - DOCUMENT ME!
    
    errStatus - 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.
    
    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.

Class AlgorithmFRAP.FitWholeNLConModel2

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

xData

yData

abscissa

absEps

errStatus

estErr

evaluations

relEps

result

Constructor Detail

FitWholeNLConModel2

Method Detail

driver

dumpResults

fitToFunction