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.