Tensors (also known as mutidimensional arrays or N-way arrays) are used in a variety of applications ranging from chemometrics to psychometrics. The MATLAB tensor toolbox provides a collection of classes for manipulating dense, sparse, and structured tensors using MATLAB's object-oriented features.

August 22, 2006 - New version coming soon! Please join our mailing list to get email notification of its release!

Latest Version (April 13, 2006)

• Paper (accepted to ACM TOMS) in PDF, 0.3 MB
• Gzip'd Tar Format - TensorToolbox_2006_04_13.tar.gz
• Zip Format - TensorToolbox_2006_04_13.zip

Old Version (July 20, 2005)

The latest version of the paper and software was released on July 20, 2005.

• Paper (in revision for ACM TOMS) in PDF, 0.3 MB
• Code in TGZ, 29 kb

Mailing List

Please join our new mailing list to keep updated on the latest releases and uses for the MATLAB Tensor Toolbox.

Related Papers

Do you have a paper that uses the MATLAB Tensor Toolbox? If so, let us know and we'll post it here. Thanks!

• Brett W. Bader and Tamara G. Kolda, MATLAB Tensor Classes for Fast Algorithm Prototyping, ACM Tran. Math. Software, to appear.
   
• Brett W. Bader and Tamara G. Kolda, A Preliminary Report on the Development of MATLAB Tensor Classes for Fast Algorithm Prototyping, Technical Report SAND2004-3487, Sandia National Laboratories, Livermore, California, July 2004

Presentations

• Tamara G. Kolda & Brett W. Bader, Tutorial on MATLAB for tensors and the Tucker decomposition, Workshop on Tensor Decomposition and Applications, CIRM, Luminy, Marseille, France, August 29, 2005 (PDF, 498 kb)