Uses of Package
de.jstacs.algorithms.graphs.tensor

Packages that use de.jstacs.algorithms.graphs.tensor

Package	Description
de.jstacs.algorithms.graphs	Provides classes for algorithms on graphs.
de.jstacs.algorithms.graphs.tensor	Provides classes to represent symmetric and asymmetric tensors in graphs.
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures	Provides the facilities to learn the structure of a BayesianNetworkDiffSM.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous	This package contains various inhomogeneous models.

Classes in de.jstacs.algorithms.graphs.tensor used by de.jstacs.algorithms.graphs

Class and Description
SymmetricTensor This class can be used for Tensors with a special symmetry property.
Tensor This is the super class for any tensor.

Classes in de.jstacs.algorithms.graphs.tensor used by de.jstacs.algorithms.graphs.tensor

Class and Description
AsymmetricTensor This class can be used for Tensors which are not symmetric, as opposed to the symmetry defined in SymmetricTensor.
SymmetricTensor This class can be used for Tensors with a special symmetry property.
Tensor This is the super class for any tensor.

Classes in de.jstacs.algorithms.graphs.tensor used by de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures

Class and Description
Tensor This is the super class for any tensor.

Classes in de.jstacs.algorithms.graphs.tensor used by de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous

Class and Description
SymmetricTensor This class can be used for Tensors with a special symmetry property.
Tensor This is the super class for any tensor.