A B C D E F G H I K L M N O P Q R S T U V W X

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offset - Variable in class de.jstacs.models.discrete.inhomogeneous.InhConstraint

This array is used to find the start indices of the conditional distributions.

OneDimensionalFunction - Class in de.jstacs.algorithms.optimization

This class implements the interface Function for an one-dimensional function.

OneDimensionalFunction() - Constructor for class de.jstacs.algorithms.optimization.OneDimensionalFunction

OneDimensionalSubFunction - Class in de.jstacs.algorithms.optimization

This class is used to do the line search.

OneDimensionalSubFunction(Function, double[], double[]) - Constructor for class de.jstacs.algorithms.optimization.OneDimensionalSubFunction

Creates a new OneDimensionalSubFunction from a Function f for the line search.

openRConnection(String, String, String) - Static method in class de.jstacs.utils.RUtils

This method opens an RConnection.

operationAllowed(int...) - Method in interface de.jstacs.motifDiscovery.history.History

Returns true if the specified operation is allowed, i.e. it does not conflict with any operation from the history.

operationAllowed(int...) - Method in class de.jstacs.motifDiscovery.history.RestrictedRepeatHistory

operationPerfomed(int...) - Method in interface de.jstacs.motifDiscovery.history.History

This method puts an operation to the history.

operationPerfomed(int...) - Method in class de.jstacs.motifDiscovery.history.RestrictedRepeatHistory

OptimizableFunction - Class in de.jstacs.classifier.scoringFunctionBased

This is the main function for the ScoreClassifier.

OptimizableFunction() - Constructor for class de.jstacs.classifier.scoringFunctionBased.OptimizableFunction

OptimizableFunction.KindOfParameter - Enum in de.jstacs.classifier.scoringFunctionBased

This enum defines the kinds of parameters that can be returned by the method OptimizableFunction.getParameters(KindOfParameter).

optimize(byte, DifferentiableFunction, double[], Optimizer.TerminationCondition, double, double, StartDistanceForecaster, SafeOutputStream) - Static method in class de.jstacs.algorithms.optimization.Optimizer

This method enables you to use all different implemented optimization algorithms by only one method.

optimize(byte, DifferentiableFunction, double[], Optimizer.TerminationCondition, double, double, StartDistanceForecaster, SafeOutputStream, Time) - Static method in class de.jstacs.algorithms.optimization.Optimizer

This method enables you to use all different implemented optimization algorithms by only one method.

optimize(ScoringFunction[], OptimizableFunction, byte, double, double, StartDistanceForecaster, SafeOutputStream, boolean, History, OptimizableFunction.KindOfParameter) - Static method in class de.jstacs.motifDiscovery.MutableMotifDiscovererToolbox

This method tries to optimize the problem at hand as good as possible.

optimize(ScoringFunction[], OptimizableFunction, byte, double, double, StartDistanceForecaster, SafeOutputStream, boolean, History[][], int[][], OptimizableFunction.KindOfParameter) - Static method in class de.jstacs.motifDiscovery.MutableMotifDiscovererToolbox

This method tries to optimize the problem at hand as good as possible.

optimizeHidden - Variable in class de.jstacs.scoringFunctions.mix.AbstractMixtureScoringFunction

This boolean indicates whether to optimize the hidden variables of this instance.

optimizeModel - Variable in class de.jstacs.models.mixture.AbstractMixtureModel

A switch for each model whether to optimize/adjust or not.

Optimizer - Class in de.jstacs.algorithms.optimization

This class can be used for optimization purposes.

Optimizer() - Constructor for class de.jstacs.algorithms.optimization.Optimizer

Optimizer.TerminationCondition - Enum in de.jstacs.algorithms.optimization

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

order - Variable in class de.jstacs.algorithms.graphs.tensor.Tensor

The order of the tensor.

order - Variable in class de.jstacs.models.discrete.homogeneous.HomogeneousModel

The order of the model.

order - Variable in class de.jstacs.scoringFunctions.directedGraphicalModels.BayesianNetworkScoringFunction

The network structure, used internally.