net.sf.tweety.math.opt

Class HessianGradientDescentRootFinder

java.lang.Object

net.sf.tweety.math.opt.RootFinder

net.sf.tweety.math.opt.OptimizationRootFinder

net.sf.tweety.math.opt.HessianGradientDescentRootFinder

public class HessianGradientDescentRootFinder
extends OptimizationRootFinder

Implements the hessiane/gradient descent method to find zeros of a (multi-dimensional) function.

Author:

Matthias Thimm

Field Summary

Fields inherited from class net.sf.tweety.math.opt.RootFinder

PRECISION

Constructor Summary

Constructors

Constructor and Description
HessianGradientDescentRootFinder(java.util.List<Term> functions, java.util.Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given (multi-dimensional) function
HessianGradientDescentRootFinder(Term function, java.util.Map<Variable,Term> startingPoint) Creates a new root finder for the given starting point and the given function

Method Summary

Modifier and Type	Method and Description
java.util.Map<Variable,Term>	randomRoot() 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.OptimizationRootFinder

buildOptimizationProblem

Methods inherited from class net.sf.tweety.math.opt.RootFinder

getFunctions, getStartingPoint, setStartingPoint

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

HessianGradientDescentRootFinder

public HessianGradientDescentRootFinder(Term function,
                                        java.util.Map<Variable,Term> startingPoint)

Creates a new root finder for the given starting point and the given function

Parameters:

startingPoint -

HessianGradientDescentRootFinder

public HessianGradientDescentRootFinder(java.util.List<Term> functions,
                                        java.util.Map<Variable,Term> startingPoint)

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

Parameters:

startingPoint -

Method Detail

randomRoot

public java.util.Map<Variable,Term> randomRoot()
                                        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

Returns:

a map from variables to terms such that "function" evaluates to zero.

Throws:

GeneralMathException - if something went wrong.