rand_tensor_decompositions

This repository contains MATLAB codes for randomized tensor decompositions, accompanying the paper

Minster, Rachel, Arvind K. Saibaba, and Misha E. Kilmer. "Randomized Algorithms for Low-rank Tensor Decompositions in the Tucker Format." SIMODS 2020. https://epubs.siam.org/toc/sjmdaq/2/1

@article{minster2020randomized,
  title={Randomized Algorithms for Low-rank Tensor Decompositions in the Tucker Format},
  author={Minster, Rachel and Saibaba, Arvind K and Kilmer, Misha E},
  journal={SIAM Journal on Mathematics of Data Science},
  year={2020}
}

Thanks to NSF for their support through grants DMS-1821148 and DMS-1821149.

Toolbox Requirements

This code requires two tensor packages for MATLAB, Tensorlab and Tensor Toolbox

Data

The data for Tab6_enron.m can be found at

http://frostt.io/tensors/enron/