StochasticOSearch (Fiji Javadocs 0-SNAPSHOT API)

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java.lang.Object
- pal.math.MultivariateMinimum
- - pal.math.StochasticOSearch

```
public class StochasticOSearch
extends MultivariateMinimum
```
minimization of a real-valued function of several variables without using derivatives, using the simple strategy of optimizing variables one by one. Variable selection is stochastic

Author:

Matthew Goode Korbinian Strimmer

Field Summary
- Fields inherited from class pal.math.MultivariateMinimum
  maxFun, numFun, numFuncStops

Constructor Summary

Constructors
Constructor and Description

StochasticOSearch()
Initialization

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`optimize(MultivariateFunction f, double[] xvec, double tolfx, double tolx)` The actual optimization routine (needs to be implemented in a subclass of MultivariateMinimum).

Methods inherited from class pal.math.MultivariateMinimum
copy, findMinimum, findMinimum, stopCondition

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - StochasticOSearch
```
public StochasticOSearch()
```
    Initialization
- Method Detail
  - optimize
```
public void optimize(MultivariateFunction f,
                     double[] xvec,
                     double tolfx,
                     double tolx)
```
    Description copied from class: MultivariateMinimum
    
    The actual optimization routine (needs to be implemented in a subclass of MultivariateMinimum). It finds a minimum close to vector x when the absolute tolerance for each parameter is specified.
    
    Specified by:
    
    optimize in class MultivariateMinimum
    
    Parameters:
    
    f - multivariate function
    
    xvec - initial guesses for the minimum (contains the location of the minimum on return)
    
    tolfx - absolute tolerance of function value
    
    tolx - absolute tolerance of each parameter

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