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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.
Citation:
V. B. Betelin, V. A. Galkin, “Reducing the dimensionality of grid approximations”, Russian Journal of Cybernetics, 2:4 (2021), 75–77
Linking options:
https://www.mathnet.ru/eng/uk92 https://www.mathnet.ru/eng/uk/v2/i4/p75
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Abstract page: | 42 | Full-text PDF : | 12 |
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