The MATLAB Tensor Toolbox enables the creation and manipulation of dense and sparse multidimensional arrays.

Documentation

• Tensors
• Sparse Tensors
• Converting a tensor to a matrix and vice versa
• Converting sparse tensors to matrices and vice versa
• Tucker Tensors
• Kruskal tensors
• Multiplying tensors
• Generating the leading mode-n vectors
• Collapsing and scaling tensors
• Creating test problems and initial guesses
• ALS optimization for CP and Tucker tensor decompositions
• All-at-once optimization for CP tensor decomposition
• Weighted optimization for CP tensor decomposition with incomplete data
• Alternating Poisson Regression for fitting CP to sparse count data
• Shifted Symmetric Higher-Order Power Method (SSHOPM)

Home Page

For more information including how to cite the toolbox (as required by the license), please visit the Tensor Toolbox homepage at http://www.sandia.gov/~tgkolda/TensorToolbox/.

Legal Stuff

• Tensor Toolbox License
• Tensor Toolbox Copyright

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