Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4958769 | Computers & Mathematics with Applications | 2017 | 10 Pages |
Abstract
For solving a class of complex symmetric singular linear systems, we propose a parameterized generalized MHSS (PGMHSS) iteration method and investigate the semi-convergence conditions by analyzing the spectrum of the iteration matrix. Then we analyze the optimal iteration parameters that minimize the upper bound of the semi-convergence factor. Numerical experiments are used to test the feasibility and the effectiveness of the PGMHSS iteration method.
Keywords
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Min-Li Zeng, Walker Paul Sevin, Guo-Feng Zhang,