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Packages that use de.jstacs.algorithms.optimization.termination | |
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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 | |
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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 | |
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AbstractTerminationCondition
This class is the abstract super class of many TerminationCondition s. |
Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.models.discrete.inhomogeneous.shared | |
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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 | |
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AbstractTerminationCondition
This class is the abstract super class of many TerminationCondition s. |
Classes in de.jstacs.algorithms.optimization.termination used by de.jstacs.models.mixture | |
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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 | |
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TerminationCondition
This interface can be used in any iterative algorithm for determining the end of the algorithm. |
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