2009
DOI: 10.1007/s00211-009-0261-3
|View full text |Cite
|
Sign up to set email alerts
|

On the geometric convergence of optimized Schwarz methods with applications to elliptic problems

Abstract: The Schwarz method can be used for the iterative solution of elliptic boundary value problems on a large domain . One subdivides into smaller, more manageable, subdomains and solves the differential equation in these subdomains using appropriate boundary conditions. Optimized Schwarz Methods use Robin conditions on the artificial interfaces for information exchange at each iteration, and for which one can optimize the Robin parameters. While the convergence theory of classical Schwarz methods (with Dirichlet c… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
20
0

Year Published

2009
2009
2014
2014

Publication Types

Select...
3
2
1

Relationship

4
2

Authors

Journals

citations
Cited by 21 publications
(20 citation statements)
references
References 23 publications
0
20
0
Order By: Relevance
“…This result is more general than the one we presented in [9], where it is assumed that v is exactly (a, c)-harmonic. The structure of this article is as follows.…”
Section: Introductionmentioning
confidence: 54%
See 3 more Smart Citations
“…This result is more general than the one we presented in [9], where it is assumed that v is exactly (a, c)-harmonic. The structure of this article is as follows.…”
Section: Introductionmentioning
confidence: 54%
“…We also mention that, while we proved Theorem 1 in the plane, it also holds in higher dimensions and on manifolds, under suitable hypotheses; see [9]. This is important because one cannot rely, e.g., on conformal maps in dimensions higher than 2 to prove results for general domains.…”
Section: Theoremmentioning
confidence: 87%
See 2 more Smart Citations
“…Scientists from five DOE labs presented work at the Twentieth International Conference on Domain Decomposition Methods in San Diego in 2011, and the meeting was in fact co-sponsored by Sandia and Livermore. We have made several contributions to the algebraic understanding of these preconditioners, and in some instances proved convergence results, or proposed new alternatives, which could not have been done without this algebraic approach [21], [22], [4], [23], [20], [34], [5], [32], [31], [6], [39], [35], [40], [1], [27], [29], [28], [30], [12], [24]. As one example, let us mention that the default Schwarz preconditioner in PETSc (from Argonne) is Restricted Additive Schwarz [7], and its convergence properties are understood thanks to our work [23].…”
mentioning
confidence: 99%