Uses of Package
de.jstacs.algorithms.optimization

Packages that use de.jstacs.algorithms.optimization

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.
de.jstacs.classifier.scoringFunctionBased	Provides the classes for Classifiers that are based on ScoringFunctions.
de.jstacs.classifier.scoringFunctionBased.cll	Provides the implementation of the log conditional likelihood as an OptimizableFunction and a classifier that uses log conditional likelihood or supervised posterior to learn the parameters of a set of ScoringFunctions
de.jstacs.classifier.scoringFunctionBased.logPrior	Provides a general definition of a parameter log-prior and a number of implementations of Laplace and Gaussian priors

Classes in de.jstacs.algorithms.optimization used by de.jstacs.algorithms.optimization

DifferentiableFunction
This class is the framework for any (at least) one time differentiable function f: R^n -> R.

DimensionException

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

Function
This interface is the framework for any mathematical function f: R^n -> R.

OneDimensionalFunction
This class implements the interface function for an one dimensional function.

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

StartDistanceForecaster
This Interface is used to determine the next start distance that will be used in a line search

TerminationException

Classes in de.jstacs.algorithms.optimization used by de.jstacs.classifier.scoringFunctionBased

DifferentiableFunction
This class is the framework for any (at least) one time differentiable function f: R^n -> R.

DimensionException

Function
This interface is the framework for any mathematical function f: R^n -> R.

Classes in de.jstacs.algorithms.optimization used by de.jstacs.classifier.scoringFunctionBased.cll

DifferentiableFunction
This class is the framework for any (at least) one time differentiable function f: R^n -> R.

DimensionException

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

Function
This interface is the framework for any mathematical function f: R^n -> R.

Classes in de.jstacs.algorithms.optimization used by de.jstacs.classifier.scoringFunctionBased.logPrior

DifferentiableFunction
This class is the framework for any (at least) one time differentiable function f: R^n -> R.

DimensionException

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

Function
This interface is the framework for any mathematical function f: R^n -> R.