Efficient Alternating Least Squares Algorithms for Low Multilinear Rank Approximation of Tensors-Reference-Cited by-同舟云学术

Efficient Alternating Least Squares Algorithms for Low Multilinear Rank Approximation of Tensors

Published:2021-04-21 Issue:3 Volume:87 Page:
ISSN:0885-7474
Container-title:Journal of Scientific Computing
language:en
Short-container-title:J Sci Comput

Author:

Xiao Chuanfu,Yang Chao^ORCID,Li Min

Funder

Key Research and Development Project of Guangdong Province

Natural Science Foundation of Beijing Municipality

Beijing Academy of Artificial Intelligence

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,General Engineering,Theoretical Computer Science,Software,Applied Mathematics,Computational Mathematics,Numerical Analysis

Link

https://link.springer.com/content/pdf/10.1007/s10915-021-01493-0.pdf

Reference72 articles.

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