Abstract | ||
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In this paper, the idea of auxiliary space multigrid methods is introduced. The construction is based on a two-level block factorization of local (finite element stiffness) matrices associated with a partitioning of the domain into overlapping or non-overlapping subdomains. The two-level method utilizes a coarse-grid operator obtained from additive Schur complement approximation. Its analysis is carried out in the framework of auxiliary space preconditioning and condition number estimates for both the two-level preconditioner and the additive Schur complement approximation are derived. The two-level method is recursively extended to define the auxiliary space multigrid algorithm. In particular, so-called Krylov cycles are considered. The theoretical results are supported by a representative collection of numerical tests that further demonstrate the efficiency of the new algorithm for multiscale problems. Copyright (C) 2014 John Wiley & Sons, Ltd. |
Year | DOI | Venue |
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2015 | 10.1002/nla.1959 | NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS |
Keywords | Field | DocType |
auxiliary space multigrid,algebraic multilevel iteration,additive Schur complement approximation | Condition number,Mathematical optimization,Preconditioner,Algebra,Matrix (mathematics),Finite element method,Factorization,Schur complement method,Mathematics,Schur complement,Multigrid method | Journal |
Volume | Issue | ISSN |
22.0 | SP6.0 | 1070-5325 |
Citations | PageRank | References |
2 | 0.47 | 15 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Johannes Kraus | 1 | 16 | 2.91 |
Maria Lymbery | 2 | 10 | 2.43 |
Svetozar Margenov | 3 | 651 | 161.11 |