File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Fast preconditioned iterative methods for finite volume discretization of steady-state space-fractional diffusion equations

TitleFast preconditioned iterative methods for finite volume discretization of steady-state space-fractional diffusion equations
Authors
KeywordsPreconditioning
Space-fractional diffusion equations
Iterative methods
Finite volume methods
Issue Date2017
Citation
Numerical Algorithms, 2017, v. 74, n. 1, p. 153-173 How to Cite?
Abstract© 2016, Springer Science+Business Media New York. We consider the preconditioned Krylov subspace method for linear systems arising from the finite volume discretization method of steady-state variable-coefficient conservative space-fractional diffusion equations. We propose to use a scaled-circulant preconditioner to deal with such Toeplitz-like discretization matrices. We show that the difference between the scaled-circulant preconditioner and the coefficient matrix is equal to the sum of a small-norm matrix and a low-rank matrix. Numerical tests are conducted to show the effectiveness of the proposed method for one- and two-dimensional steady-state space-fractional diffusion equations and demonstrate that the preconditioned Krylov subspace method converges very quickly.
Persistent Identifierhttp://hdl.handle.net/10722/277091
ISSN
2023 Impact Factor: 1.7
2023 SCImago Journal Rankings: 0.829
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorPan, Jianyu-
dc.contributor.authorNg, Michael-
dc.contributor.authorWang, Hong-
dc.date.accessioned2019-09-18T08:35:34Z-
dc.date.available2019-09-18T08:35:34Z-
dc.date.issued2017-
dc.identifier.citationNumerical Algorithms, 2017, v. 74, n. 1, p. 153-173-
dc.identifier.issn1017-1398-
dc.identifier.urihttp://hdl.handle.net/10722/277091-
dc.description.abstract© 2016, Springer Science+Business Media New York. We consider the preconditioned Krylov subspace method for linear systems arising from the finite volume discretization method of steady-state variable-coefficient conservative space-fractional diffusion equations. We propose to use a scaled-circulant preconditioner to deal with such Toeplitz-like discretization matrices. We show that the difference between the scaled-circulant preconditioner and the coefficient matrix is equal to the sum of a small-norm matrix and a low-rank matrix. Numerical tests are conducted to show the effectiveness of the proposed method for one- and two-dimensional steady-state space-fractional diffusion equations and demonstrate that the preconditioned Krylov subspace method converges very quickly.-
dc.languageeng-
dc.relation.ispartofNumerical Algorithms-
dc.subjectPreconditioning-
dc.subjectSpace-fractional diffusion equations-
dc.subjectIterative methods-
dc.subjectFinite volume methods-
dc.titleFast preconditioned iterative methods for finite volume discretization of steady-state space-fractional diffusion equations-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11075-016-0143-6-
dc.identifier.scopuseid_2-s2.0-84969872771-
dc.identifier.volume74-
dc.identifier.issue1-
dc.identifier.spage153-
dc.identifier.epage173-
dc.identifier.eissn1572-9265-
dc.identifier.isiWOS:000391392300009-
dc.identifier.issnl1017-1398-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats