WeibullDistribution.WeibullCostFunction2param (MIPAV API Documentation)

java.lang.Object
- gov.nih.mipav.model.algorithms.NLConstrainedEngine
- - gov.nih.mipav.model.algorithms.WeibullDistribution.WeibullCostFunction2param

Enclosing class:: WeibullDistribution

class WeibullDistribution.WeibullCostFunction2param
extends NLConstrainedEngine

Field Summary
- 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

WeibullCostFunction2param(double[] x0, boolean analyticalJac)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`driver()`	Starts the analysis.
`void`	`dumpResults()`	Display results of WeibullDistributionFitting.
`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

- Constructor Detail
  - WeibullCostFunction2param
```
public WeibullCostFunction2param(double[] x0,
                                 boolean analyticalJac)
```
- 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 WeibullDistributionFitting.