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## 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 `Classifier`s that are based on `ScoringFunction`s.
de.jstacs.classifier.scoringFunctionBased.gendismix | Provides an implementation of a classifier that allows to train the parameters of a set of `NormalizableScoringFunction`s by a unified generative-discriminative learning principle
de.jstacs.classifier.scoringFunctionBased.logPrior | Provides a general definition of a parameter log-prior and a number of implementations of Laplace and Gaussian priors
de.jstacs.motifDiscovery | This package provides the framework including the interface for any de novo motif discoverer

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 .
DimensionException This class is for `Exception`s 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.
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` that is 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 .
DimensionException This class is for `Exception`s 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.gendismix
DifferentiableFunction This class is the framework for any (at least) one time differentiable function .
DimensionException This class is for `Exception`s 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 .
DimensionException This class is for `Exception`s 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.motifDiscovery
DifferentiableFunction This class is the framework for any (at least) one time differentiable function .
StartDistanceForecaster This interface is used to determine the next start distance that will be used in a line search.

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