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Zapiski Nauchnykh Seminarov POMI, 2012, Volume 405, Pages 40–53
(Mi znsl5276)
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This article is cited in 6 scientific papers (total in 6 papers)
Optimization of the $\mathrm{ILU}(0)$ factorization algorithm with the use of compressed sparse row format
R. R. Akhunov, S. P. Kuksenko, V. K. Salov, T. R. Gazizov Department of Television and Control, Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia
Abstract:
Improvements to the $\mathrm{ILU}(0)$ factorization algorithm for preconditioning linear algebraic systems with dense matrices are suggested. The preconditioner is stored in compressed sparse row format. On the example of the problem of computing the electrical capacity of two stripes, it is demonstrated that the modifications proposed provide for a significant reduction of the time for computing the $\mathrm{ILU}(0)$ preconditioner (up to 4 times) and for solving the preconditioned linear system (up to 2.5 times).
Key words and phrases:
system of linear algebraic equations, sparse matrix, iterative methods, preconditioning, prefiltering.
Received: 02.05.2012
Citation:
R. R. Akhunov, S. P. Kuksenko, V. K. Salov, T. R. Gazizov, “Optimization of the $\mathrm{ILU}(0)$ factorization algorithm with the use of compressed sparse row format”, Computational methods and algorithms. Part XXV, Zap. Nauchn. Sem. POMI, 405, POMI, St. Petersburg, 2012, 40–53; J. Math. Sci. (N. Y.), 191:1 (2013), 19–27
Linking options:
https://www.mathnet.ru/eng/znsl5276 https://www.mathnet.ru/eng/znsl/v405/p40
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Abstract page: | 428 | Full-text PDF : | 120 | References: | 49 |
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