GradientDescentRootFinder (Tweety (Math) 1.17 API)

java.lang.Object
- net.sf.tweety.math.opt.rootFinder.RootFinder
- - net.sf.tweety.math.opt.rootFinder.OptimizationRootFinder
  - - net.sf.tweety.math.opt.rootFinder.GradientDescentRootFinder

```
public class GradientDescentRootFinder
extends OptimizationRootFinder
```
Implements the gradient descent method to find zeros of a (multi-dimensional) function.

Author:

Matthias Thimm

Field Summary

Fields
Modifier and Type Field Description

double precision
The precision of the approximation.
- Fields inherited from class net.sf.tweety.math.opt.rootFinder.RootFinder
  functions, PRECISION, startingPoint

Constructor Summary

Constructors
Constructor Description

GradientDescentRootFinder()
Creates a new root finder for the given starting point and the given (multi-dimensional) function

Method Summary

Modifier and Type	Method	Description
`Map<Variable,Term>`	`randomRoot(List<Term> functions, Map<Variable,Term> startingPoint)`	Determines the values for the variables appearing in the function such the function evaluates to zero.

Methods inherited from class net.sf.tweety.math.opt.rootFinder.OptimizationRootFinder
buildOptimizationProblem

Methods inherited from class net.sf.tweety.math.opt.rootFinder.RootFinder
getFunctions, getStartingPoint, setStartingPoint

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

- Field Detail
  - precision
```
public double precision
```
    The precision of the approximation. The actual used precision depends on the number of variables.
- Constructor Detail
  - GradientDescentRootFinder
```
public GradientDescentRootFinder()
```
    Creates a new root finder for the given starting point and the given (multi-dimensional) function
- Method Detail
  - randomRoot
```
public Map<Variable,Term> randomRoot(List<Term> functions,
                                           Map<Variable,Term> startingPoint)
                                    throws GeneralMathException
```
    Description copied from class: RootFinder
    
    Determines the values for the variables appearing in the function such the function evaluates to zero.
    
    Specified by:
    
    randomRoot in class OptimizationRootFinder
    
    Parameters:
    
    functions - the functions
    
    startingPoint - the starting point for the search
    
    Returns:
    
    a map from variables to terms such that "function" evaluates to zero.
    
    Throws:
    
    GeneralMathException - if something went wrong.