Uses of Package
de.jstacs.algorithms.optimization.termination

Packages that use de.jstacs.algorithms.optimization.termination
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.algorithms.optimization.termination   
de.jstacs.models Provides the interface Model and its abstract implementation AbstractModel, which is the super class of all other models. 
de.jstacs.models.discrete.inhomogeneous.shared   
de.jstacs.models.hmm.training The package provides all classes used to determine the training algorithm of a hidden Markov model 
de.jstacs.models.mixture This package is the super package for any mixture model. 
de.jstacs.models.mixture.motif   
 

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.algorithms.optimization
TerminationCondition
          This interface can be used in any iterative algorithm for determining the end of the algorithm.
 

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.algorithms.optimization.termination
AbsoluteValueCondition.AbsoluteValueConditionParameterSet
          Deprecated. This class implements the parameter set for a AbsoluteValueCondition.
AbstractTerminationCondition
          This class is the abstract super class of many TerminationConditions.
AbstractTerminationCondition.AbstractTerminationConditionParameterSet
          This class implements the super class of all parameter sets of instances from AbstractTerminationCondition.
CombinedCondition.CombinedConditionParameterSet
          This class implements the parameter set for a CombinedCondition.
IterationCondition.IterationConditionParameterSet
          This class implements the parameter set for a IterationCondition.
SmallDifferenceOfFunctionEvaluationsCondition.SmallDifferenceOfFunctionEvaluationsConditionParameterSet
          This class implements the parameter set for a SmallDifferenceOfFunctionEvaluationsCondition.
SmallGradientConditon.SmallGradientConditonParameterSet
          This class implements the parameter set for a SmallStepCondition.
SmallStepCondition.SmallStepConditionParameterSet
          This class implements the parameter set for a SmallStepCondition.
TerminationCondition
          This interface can be used in any iterative algorithm for determining the end of the algorithm.
TimeCondition.TimeConditionParameterSet
          This class implements the parameter set for a TimeCondition.
 

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.models
AbstractTerminationCondition
          This class is the abstract super class of many TerminationConditions.
 

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.models.discrete.inhomogeneous.shared
TerminationCondition
          This interface can be used in any iterative algorithm for determining the end of the algorithm.
 

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.models.hmm.training
AbstractTerminationCondition
          This class is the abstract super class of many TerminationConditions.
 

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.models.mixture
TerminationCondition
          This interface can be used in any iterative algorithm for determining the end of the algorithm.
 

Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.models.mixture.motif
TerminationCondition
          This interface can be used in any iterative algorithm for determining the end of the algorithm.