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On generalized symmetric SOR method for augmented systems

โœ Scribed by Guo-Feng Zhang; Qun-hua Lu

Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
142 KB
Volume
219
Category
Article
ISSN
0377-0427

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โœฆ Synopsis

In this paper, we establish the generalized symmetric SOR method (GSSOR) for solving the large sparse augmented systems of linear equations, which is the extension of the SSOR iteration method. The convergence of the GSSOR method for augmented systems is studied. Numerical resume shows that this method is effective.

๐Ÿ“œ SIMILAR VOLUMES

Symmetric block-SOR methods for rank-def
Symmetric block-SOR methods for rank-deficient least squares problems
โœ M.T. Darvishi; F. Khani; S. Hamedi-Nezhad; B. Zheng ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 211 KB

In this article, we develop symmetric block successive overrelaxation (S-block-SOR) methods for finding the solution of the rank-deficient least squares problems. We propose an S2-block-SOR and an S3-block-SOR method for solving such problems and the convergence of these two methods is studied. The