AlgorithmContrastEnhancementUsingExposureFusion.kFitting (MIPAV API Documentation)

java.lang.Object
- gov.nih.mipav.model.algorithms.NLConstrainedEngine
- - gov.nih.mipav.model.algorithms.AlgorithmContrastEnhancementUsingExposureFusion.kFitting

Enclosing class:: AlgorithmContrastEnhancementUsingExposureFusion

class AlgorithmContrastEnhancementUsingExposureFusion.kFitting
extends NLConstrainedEngine

Field Summary

Fields
Modifier and Type	Field	Description
`(package private) double`	`ac`
`(package private) double`	`bc`
`(package private) double[]`	`J`
`(package private) int`	`numValues`
`(package private) double[]`	`validValues`

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

kFitting(double[] x0, double[] validValues)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`driver()`	Starts the analysis.
`void`	`dumpResults()`	Display results of kFitting.
`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
  - validValues
```
double[] validValues
```
  - numValues
```
int numValues
```
  - J
```
double[] J
```
  - ac
```
double ac
```
  - bc
```
double bc
```
- Constructor Detail
  - kFitting
```
public kFitting(double[] x0,
                double[] validValues)
```
- Method Detail
  - 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.
  - driver
```
public void driver()
```
    Starts the analysis.
    
    Overrides:
    
    driver in class NLConstrainedEngine
  - dumpResults
```
public void dumpResults()
```
    Display results of kFitting.