Package de.jstacs.algorithms.optimization

Provides classes for different types of algorithms that are not directly linked to the modelling components of Jstacs: Algorithms on graphs, algorithms for numerical optimization, and a basic alignment algorithm. See:
Description

Interface Summary

Function	This interface is the framework for any mathematical function f: R^n -> R.
StartDistanceForecaster	This Interface is used to determine the next start distance that will be used in a line search

Class Summary

ConstantStartDistance	The most simple StartDistanceForecaster that returns always the same value.
DifferentiableFunction	This class is the framework for any (at least) one time differentiable function f: R^n -> R.
LimitedMedianStartDistance	This class implements a StartDistanceForecaster that returns the median of a limited memory over the last values.
NegativeDifferentiableFunction	The Function -f for a given function f.
NegativeFunction	The Function -f for a given function f.
NegativeOneDimensionalFunction	This class extends the class OneDimensionalFunction.
NumericalDifferentiableFunction	This class is the framework for any function f: R^n -> R.
OneDimensionalFunction	This class implements the interface function for an one dimensional function.
OneDimensionalSubFunction	This class used to do the line search.
Optimizer	This class can be used for optimization purposes.
QuadraticFunction	This class implements a quadratic function.

Enum Summary

Optimizer.TerminationCondition

This enum defines all kinds of termination conditions for the Optimizer.

Exception Summary

DimensionException
EvaluationException	This class indicates that there was a problem to evaluate a function or the gradient of the function.
TerminationException

Package de.jstacs.algorithms.optimization Description

Provides classes for different types of algorithms that are not directly linked to the modelling components of Jstacs: Algorithms on graphs, algorithms for numerical optimization, and a basic alignment algorithm.