Package net.sf.tweety.math.opt

Class OptimizationRootFinder

java.lang.Object

net.sf.tweety.math.opt.RootFinder

net.sf.tweety.math.opt.OptimizationRootFinder

Direct Known Subclasses:

BfgsRootFinder, GradientDescentRootFinder, HessianGradientDescentRootFinder, LbfgsRootFinder, OpenOptRootFinder

public abstract class OptimizationRootFinder
extends RootFinder

This class is the common ancestor for root finders that work with optimizers.

Author:

Matthias Thimm

Field Summary

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

PRECISION

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method	Description
protected OptimizationProblem	buildOptimizationProblem()	Builds an optimization problem for the task of root finding.
abstract 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.RootFinder

getFunctions, getStartingPoint, setStartingPoint

Methods inherited from class java.lang.Object

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

Constructor Detail

OptimizationRootFinder

public OptimizationRootFinder(Term function)

Creates a new root finder for the given function.

Parameters:

function - a term

OptimizationRootFinder

public OptimizationRootFinder(Term function,
                              Map<Variable,Term> startingPoint)

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

Parameters:

function - a function

startingPoint - the starting point

OptimizationRootFinder

public OptimizationRootFinder(List<Term> functions,
                              Map<Variable,Term> startingPoint)

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

Parameters:

functions - a list of functions

startingPoint - the starting point

Method Detail

buildOptimizationProblem

protected OptimizationProblem buildOptimizationProblem()

Builds an optimization problem for the task of root finding.

Returns:

an optimization problem for the task of root finding.

randomRoot

public abstract 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 RootFinder

Returns:

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

Throws:

GeneralMathException - if something went wrong.