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| Content Provider | Society for Industrial and Applied Mathematics (SIAM) |
|---|---|
| Author | Li, Zhongze Saad, Yousef |
| Copyright Year | 2006 |
| Abstract | This paper presents a preconditioner based on solving approximate Schur complement systems with the overlapping restricted additive Schwarz (RAS) methods. The construction of the preconditioner, called SchurRAS, is as simple as in the standard RAS. The communication requirements for each application of the preconditioning operation are also similar to those of the standard RAS approach. In the particular case when the degree of overlap is one, then SchurRAS and RAS involve exactly the same communication volume per step. In addition, SchurRAS has the same degree of parallelism as RAS. In some numerical experiments with a model problem, the convergence rate of the method was found to be similar to that of the multiplicative Schwarz (MS) method. The Schur-based RAS usually outperforms the standard RAS both in terms of iteration count and CPU time. For a few two-dimensional scaled problems, SchurRAS was about twice as fast as the stardard RAS on 64 processors. |
| Starting Page | 1787 |
| Ending Page | 1801 |
| Page Count | 15 |
| File Format | |
| ISSN | 10648275 |
| DOI | 10.1137/040608350 |
| e-ISSN | 10957197 |
| Issue Number | 5 |
| Volume Number | 27 |
| Language | English |
| Publisher | Society for Industrial and Applied Mathematics |
| Publisher Date | 2006-07-26 |
| Access Restriction | Subscribed |
| Subject Keyword | Schur complement techniques restricted additive Schwarz preconditioner Iterative methods for linear systems domain decomposition additive Schwarz preconditioner Parallel computation distributed sparse linear systems Sparse matrices Multigrid methods; domain decomposition parallel preconditioning |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Computational Mathematics |
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