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## 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.models.discrete.inhomogeneous | This package contains various inhomogeneous models.
de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures | Provides the facilities to learn the structure of a `BayesianNetworkScoringFunction`.

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.models.discrete.inhomogeneous
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.scoringFunctions.directedGraphicalModels.structureLearning.measures
Tensor This is the super class for any tensor.

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