GradientDescentRootFinder

java.lang.Object

org.tweetyproject.math.opt.rootFinder.RootFinder

org.tweetyproject.math.opt.rootFinder.OptimizationRootFinder

org.tweetyproject.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 org.tweetyproject.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

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 org.tweetyproject.math.opt.rootFinder.RootFinder
getFunctions, getStartingPoint, setStartingPoint

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

Field Details
- precision
  
  public double precision
  
  The precision of the approximation. The actual used precision depends on the number of variables.
Constructor Details
- GradientDescentRootFinder
  
  public GradientDescentRootFinder()
  
  Creates a new root finder for the given starting point and the given (multi-dimensional) function
Method Details
- 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.