AlgorithmFRAP.FitSingleExponentialModel (MIPAV API Documentation)

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

Enclosing class:: AlgorithmFRAP

class AlgorithmFRAP.FitSingleExponentialModel
extends NLConstrainedEngine

DOCUMENT ME!

Field Summary

Fields
Modifier and Type Field Description

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
`FitSingleExponentialModel(int nPoints, double[] xData, float[] yData, double[] initial)`	Creates a new FitSingleExponentialModel 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 - bottom + span[1 - exp(-ln(2)t/thalf)] a1 + a2(1 - exp(-ln(2)t/a0)).

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
```
- Constructor Detail
  - FitSingleExponentialModel
```
public FitSingleExponentialModel(int nPoints,
                                 double[] xData,
                                 float[] yData,
                                 double[] initial)
```
    Creates a new FitSingleExponentialModel 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 - bottom + span*[1 - exp(-ln(2)*t/thalf)] a1 + a2*(1 - exp(-ln(2)*t/a0)).
    
    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.