This repository contains MATLAB codes for randomized TT (tensor train) rounding algorithms that are generalizations of well-established randomized low-rank matrix approximation algorithms, e.g., randomized SVD or generalized Nyström method, accompaning the paper
... "Randomized Algorithms for Rounding in the Tensor Train Format". ...
If you use this code, please cite the following paper
@misc{randomizedTT, title={Randomized Algorithms for Rounding in the Tensor Train Format}, author={Al Daas, H. and Ballard, G. and Cazeaux, P. and Hallman, E. and Pasha, M. and Miedlar, A. and Reid, T.W. and Saibaba, A.K.}, year={2021}, eprint={2110.04393}, archivePrefix={arXiv}, primaryClass={math.NA}}
This work was initiated as a part of the Statistical and Applied Mathematical Sciences Institute (SAMSI) 2020 Program on Numerical Analysis in Data Science. The work of A.K.S was partially supported by NSF award DMS-1821149. The work of M.P. was partially supported by NSF award DMS-1502640. The work of G.B. was partially supported by NSF award CCF-1942892. The work of A.M. was partially supported by NSF award CCF-1812927. The work of P.C. was partially supported by NSF award DMS-181922.