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

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

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

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

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

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

SymmetricTensor
This class can be used for Tensors with a special symmetry property.

Tensor
This is the super class for any tensor.