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
This class is for exceptions depending on wrong dimensions of vectors for a given function.

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
This class is for an exception thrown if something with a termination was not correct.

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
This class is for exceptions depending on wrong dimensions of vectors for a given 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.cll

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

DimensionException
This class is for exceptions depending on wrong dimensions of vectors for a given function.

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
This class is for exceptions depending on wrong dimensions of vectors for a given function.

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.