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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.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.

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