2022 article

Editorial: High-performance tensor computations in scientific computing and data science

Di Napoli, E., Bientinesi, P., Li, J., & Uschmajew, A. (2022, September 23). FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS, Vol. 8.

By: E. Di Napoli *, P. Bientinesi *, J. Li n & A. Uschmajew*

author keywords: tensor operation; tensor decomposition; tensor network; multilinear algebra; high performance optimization; low-rank approximation; Deep Learning; tensor library
TL;DR: High-performance tensor computations in scientific computing and data science and that the original publication in this journal is cited, in accordance with accepted academic practice. (via Semantic Scholar)
Source: Web Of Science
Added: October 31, 2022

COPYRIGHT © 2022 Di Napoli, Bientinesi, Li and Uschmajew. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Editorial: High-performance tensor computations in scientific computing and data science