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Об итерационном решении задачи Стокса Full article

Source Сборник статей, посвящённый 75-летию В. И. Васильева
Compilation, 2025.
Journal Сибирские электронные математические известия / Siberian Electronic Mathematical Reports
ISSN: 1813-3304
Output data Year: 2025, Volume: 22, Number: 1, Pages: A102-A120 Pages count : 18 DOI: 10.33048/semi.2025.22.A08
Tags Stokes problem, large sparse SLAEs, iterative preconditioned methods, Krylov subspace, Schur complement.
Authors Гурин А.М. 1 , Ильин В.П. 2 , Козлов Д.И. 2 , Кузьмин Е.А. 2
Affiliations
1 Федеральное государственное бюджетное учреждение науки Институт гидродинамики им. М.А. Лаврентьева Сибирского отделения Российской академии наук
2 Институт вычислительной математики и математической геофизики СО РАН

Funding (1)

1 Министерство науки и высшего образования Российской Федерации FWGG-2022-0002

Abstract: Block preconditioned iterative conjugate gradient methods for solving the three-dimensional Stokes problem are investigated. A formulation with a computational domain in the form of a parallelepiped is considered. Standard approximations on a cubic staggered grid, seven-point and two-point for the Laplace and derivative operators are used. The resulting saddle-type SLAE is regularized to ensure the uniqueness of the solution. The block preconditioner is constructed by the method of incomplete factorization with diagonal compensation and using band approximations for matrices inverse to the Schur complement and the grid Laplace operator, as well as using an algebraic multigrid algorithm. Examples of numerical experiments on a representative series of methodological problems using parallel algorithms on di erent numbers of processors are given. The issues of generalizing the proposed approaches to broader classes of problems are considered.
Cite: Гурин А.М. , Ильин В.П. , Козлов Д.И. , Кузьмин Е.А.
Об итерационном решении задачи Стокса
In compilation Сборник статей, посвящённый 75-летию В. И. Васильева. 2025. – C.A102-A120. DOI: 10.33048/semi.2025.22.A08 WOS Scopus
Identifiers:
Web of science: WOS:001588608800007
Scopus: 2-s2.0-105021114022
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