GradientDescentRootFinder

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
  PRECISION

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
`java.util.Map<Variable,Term>`	`randomRoot(java.util.List<Term> functions, java.util.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.RootFinder
getFunctions, getStartingPoint, setStartingPoint

Methods inherited from class java.lang.Object
equals, 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 java.util.Map<Variable,Term> randomRoot(java.util.List<Term> functions,
                                                     java.util.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.