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Article: Wavelet-based edge multiscale parareal algorithm for parabolic equations with heterogeneous coefficients and rough initial data

TitleWavelet-based edge multiscale parareal algorithm for parabolic equations with heterogeneous coefficients and rough initial data
Authors
KeywordsMultiscale
Heterogeneous
Wavelets
Parareal
Rough initial data
Parabolic
Issue Date2021
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/jcp
Citation
Journal of Computational Physics, 2021, v. 444, article no. 110572 How to Cite?
AbstractWe propose in this paper the Wavelet-based Edge Multiscale Parareal (WEMP) Algorithm to solve parabolic equations with heterogeneous coefficients efficiently. This algorithm combines the advantages of multiscale methods that can deal with heterogeneity in the spatial domain effectively, and the strength of parareal algorithms for speeding up time evolution problems when sufficient processors are available. We derive the convergence rate of this algorithm in terms of the mesh size in the spatial domain, the level parameter used in the multiscale method, the coarse-scale time step and the fine-scale time step. Extensive numerical tests are presented to demonstrate the performance of our algorithm, which verify our theoretical results perfectly.
Persistent Identifierhttp://hdl.handle.net/10722/309096
ISSN
2023 Impact Factor: 3.8
2023 SCImago Journal Rankings: 1.679
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, G-
dc.contributor.authorHu, J-
dc.date.accessioned2021-12-14T01:40:31Z-
dc.date.available2021-12-14T01:40:31Z-
dc.date.issued2021-
dc.identifier.citationJournal of Computational Physics, 2021, v. 444, article no. 110572-
dc.identifier.issn0021-9991-
dc.identifier.urihttp://hdl.handle.net/10722/309096-
dc.description.abstractWe propose in this paper the Wavelet-based Edge Multiscale Parareal (WEMP) Algorithm to solve parabolic equations with heterogeneous coefficients efficiently. This algorithm combines the advantages of multiscale methods that can deal with heterogeneity in the spatial domain effectively, and the strength of parareal algorithms for speeding up time evolution problems when sufficient processors are available. We derive the convergence rate of this algorithm in terms of the mesh size in the spatial domain, the level parameter used in the multiscale method, the coarse-scale time step and the fine-scale time step. Extensive numerical tests are presented to demonstrate the performance of our algorithm, which verify our theoretical results perfectly.-
dc.languageeng-
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/jcp-
dc.relation.ispartofJournal of Computational Physics-
dc.subjectMultiscale-
dc.subjectHeterogeneous-
dc.subjectWavelets-
dc.subjectParareal-
dc.subjectRough initial data-
dc.subjectParabolic-
dc.titleWavelet-based edge multiscale parareal algorithm for parabolic equations with heterogeneous coefficients and rough initial data-
dc.typeArticle-
dc.identifier.emailLi, G: lotusli@hku.hk-
dc.identifier.authorityLi, G=rp02705-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jcp.2021.110572-
dc.identifier.scopuseid_2-s2.0-85111526953-
dc.identifier.hkuros330739-
dc.identifier.volume444-
dc.identifier.spagearticle no. 110572-
dc.identifier.epagearticle no. 110572-
dc.identifier.isiWOS:000690431700006-
dc.publisher.placeUnited States-

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