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Matematicheskoe modelirovanie, 1992, Volume 4, Number 5, Pages 100–108
(Mi mm2081)
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This article is cited in 2 scientific papers (total in 2 papers)
Computational methods and algorithms
On the iterative solution of the systems of linear equations with sparse matrices
V. I. Maslyankin, M. I. Mukhina, A. A. Reznik Institute for Mathematical Modelling, Russian Academy of Sciences
Abstract:
The algorithms of the adaptation choice of an optimal relaxation parameter are introduced in this work. The information available in the conjugate gradient method is used in the considered algorithms. The proposed recommendations on the choice of the optimal relaxation parameter are supported by the testing calculations for a large class of sparse matrices.
Received: 23.10.1991
Citation:
V. I. Maslyankin, M. I. Mukhina, A. A. Reznik, “On the iterative solution of the systems of linear equations with sparse matrices”, Matem. Mod., 4:5 (1992), 100–108
Linking options:
https://www.mathnet.ru/eng/mm2081 https://www.mathnet.ru/eng/mm/v4/i5/p100
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