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Russian Journal of Cybernetics, 2021, Volume 2, Issue 4, Pages 75–77
DOI: https://doi.org/10.51790/2712-9942-2021-2-4-8
(Mi uk92)
 

This article is cited in 1 scientific paper (total in 1 paper)

Reducing the dimensionality of grid approximations

V. B. Betelina, V. A. Galkinb

a Federal State Institution “Scientific Research Institute for System Analysis of the Russian Academy of Sciences”, Moscow, Russian Federation
b Surgut Branch of Federal State Institute “Scientific Research Institute for System Analysis of the Russian Academy of Sciences”, Surgut, Russian Federation
Abstract: A general approach to the development of complex systems simulation is proposed. The key computer applications problem is the high-dimensional grid approximations and high-performance supercomputers with a large number of parallel CPUs. Kinetic methods for solving differential equations and methods for "gluing" exact solutions produced with coarse meshes are developed as possible alternatives to high-dimensional grid approximations.
Keywords: kinetic methods, grid approximations, approximation dimensionality reduction.
Document Type: Article
Language: Russian
Citation: V. B. Betelin, V. A. Galkin, “Reducing the dimensionality of grid approximations”, Russian Journal of Cybernetics, 2:4 (2021), 75–77
Citation in format AMSBIB
\Bibitem{BetGal21}
\by V.~B.~Betelin, V.~A.~Galkin
\paper Reducing the dimensionality of grid approximations
\jour Russian Journal of Cybernetics
\yr 2021
\vol 2
\issue 4
\pages 75--77
\mathnet{http://mi.mathnet.ru/uk92}
\crossref{https://doi.org/10.51790/2712-9942-2021-2-4-8}
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  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Russian Journal of Cybernetics
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