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Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2021, Volume 61, Number 5, Pages 691–695
DOI: https://doi.org/10.31857/S0044466921050197 (Mi zvmmf11231) 		 
This article is cited in 1 scientific paper (total in 1 paper)

General numerical methods

New applications of matrix methods

N. L. Zamarashkina, I. V. Oseledetsab, E. E. Tyrtyshnikova

a Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, Moscow
b Skoltech, Moscow, Russia
Citations (1)
DOI: https://doi.org/10.31857/S0044466921050197
Abstract: Modern directions in the development of matrix methods and their applications described in the present issue are overviewed. Special attention is given to methods associated with separation of variables, special decompositions of matrices and tensors implementing this technique, related algorithms, and their applications to multidimensional problems in computational mathematics, data analysis, and machine learning.
Key words: low-rank matrices, tensor decompositions, machine learning.
Funding agency Grant number
Moscow Center of Fundamental and Applied Mathematics 075-15-2019-1624
This work was supported by the Moscow Center for Fundamental and Applied Mathematics (contract no. 075-15-2019-1624 with the Ministry of Education and Science of the Russian Federation).
Received: 24.11.2020
Revised: 24.11.2020
Accepted: 14.01.2021
English version:
Computational Mathematics and Mathematical Physics, 2021, Volume 61, Issue 5, Pages 669–673
DOI: https://doi.org/10.1134/S0965542521050183
Bibliographic databases:
Document Type: Article
UDC: 519.6
Language: Russian
Citation: N. L. Zamarashkin, I. V. Oseledets, E. E. Tyrtyshnikov, “New applications of matrix methods”, Zh. Vychisl. Mat. Mat. Fiz., 61:5 (2021), 691–695; Comput. Math. Math. Phys., 61:5 (2021), 669–673
Citation in format AMSBIB
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  • https://www.mathnet.ru/eng/zvmmf/v61/i5/p691
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    		Журнал вычислительной математики и математической физики Computational Mathematics and Mathematical Physics
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