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Article: A multigrid method for linear systems arising from time-dependent two-dimensional space-fractional diffusion equations

TitleA multigrid method for linear systems arising from time-dependent two-dimensional space-fractional diffusion equations
Authors
KeywordsMultigrid method
Non-rectangular domain
Fractional diffusion equation
Banded-splitting smoother
Issue Date2017
Citation
Journal of Computational Physics, 2017, v. 336, p. 69-86 How to Cite?
Abstract© 2017 Elsevier Inc. In this paper, we study a V-cycle multigrid method for linear systems arising from time-dependent two-dimensional space-fractional diffusion equations. The coefficient matrices of the linear systems are structured such that their matrix-vector multiplications can be computed efficiently. The main advantage using the multigrid method is to handle the space-fractional diffusion equations on non-rectangular domains, and to solve the linear systems with non-constant coefficients more effectively. The main idea of the proposed multigrid method is to employ two banded splitting iteration schemes as pre-smoother and post-smoother. The pre-smoother and the post-smoother take banded splitting of the coefficient matrix under the x-dominant ordering and the y-dominant ordering, respectively. We prove the convergence of the proposed two banded splitting iteration schemes in the sense of infinity norm. Results of numerical experiments for time-dependent two-dimensional space-fractional diffusion equations on rectangular, L-shape and U-shape domains are reported to demonstrate that both computational time and iteration number required by the proposed method are significantly smaller than those of the other tested methods.
Persistent Identifierhttp://hdl.handle.net/10722/277061
ISSN
2023 Impact Factor: 3.8
2023 SCImago Journal Rankings: 1.679
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLin, Xue lei-
dc.contributor.authorNg, Michael K.-
dc.contributor.authorSun, Hai Wei-
dc.date.accessioned2019-09-18T08:35:29Z-
dc.date.available2019-09-18T08:35:29Z-
dc.date.issued2017-
dc.identifier.citationJournal of Computational Physics, 2017, v. 336, p. 69-86-
dc.identifier.issn0021-9991-
dc.identifier.urihttp://hdl.handle.net/10722/277061-
dc.description.abstract© 2017 Elsevier Inc. In this paper, we study a V-cycle multigrid method for linear systems arising from time-dependent two-dimensional space-fractional diffusion equations. The coefficient matrices of the linear systems are structured such that their matrix-vector multiplications can be computed efficiently. The main advantage using the multigrid method is to handle the space-fractional diffusion equations on non-rectangular domains, and to solve the linear systems with non-constant coefficients more effectively. The main idea of the proposed multigrid method is to employ two banded splitting iteration schemes as pre-smoother and post-smoother. The pre-smoother and the post-smoother take banded splitting of the coefficient matrix under the x-dominant ordering and the y-dominant ordering, respectively. We prove the convergence of the proposed two banded splitting iteration schemes in the sense of infinity norm. Results of numerical experiments for time-dependent two-dimensional space-fractional diffusion equations on rectangular, L-shape and U-shape domains are reported to demonstrate that both computational time and iteration number required by the proposed method are significantly smaller than those of the other tested methods.-
dc.languageeng-
dc.relation.ispartofJournal of Computational Physics-
dc.subjectMultigrid method-
dc.subjectNon-rectangular domain-
dc.subjectFractional diffusion equation-
dc.subjectBanded-splitting smoother-
dc.titleA multigrid method for linear systems arising from time-dependent two-dimensional space-fractional diffusion equations-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jcp.2017.02.008-
dc.identifier.scopuseid_2-s2.0-85012239953-
dc.identifier.volume336-
dc.identifier.spage69-
dc.identifier.epage86-
dc.identifier.eissn1090-2716-
dc.identifier.isiWOS:000397362800004-
dc.identifier.issnl0021-9991-

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