Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98534
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorLi, Ben_US
dc.creatorUeda, Yen_US
dc.creatorZhou, Gen_US
dc.date.accessioned2023-05-10T02:00:08Z-
dc.date.available2023-05-10T02:00:08Z-
dc.identifier.issn0036-1429en_US
dc.identifier.urihttp://hdl.handle.net/10397/98534-
dc.language.isoenen_US
dc.publisherSociety for Industrial and Applied Mathematicsen_US
dc.rights© 2020 Society for Industrial and Applied Mathematicsen_US
dc.rightsThe following publication Li, B., Ueda, Y., & Zhou, G. (2020). A second-order stabilization method for linearizing and decoupling nonlinear parabolic systems. SIAM Journal on Numerical Analysis, 58(5), 2736-2763 is available at https://doi.org/10.1137/19M1296136.en_US
dc.subjectNonlinear parabolic systemen_US
dc.subjectStabilizationen_US
dc.subjectLinearizationen_US
dc.subjectDecouplingen_US
dc.subjectConvergenceen_US
dc.titleA second-order stabilization method for linearizing and decoupling nonlinear parabolic systemsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2736en_US
dc.identifier.epage2763en_US
dc.identifier.volume58en_US
dc.identifier.issue5en_US
dc.identifier.doi10.1137/19M1296136en_US
dcterms.abstractA new time discretization method for strongly nonlinear parabolic systems is constructed by combining the fully explicit two-step backward difference formula and a second-order stabilization of wave type. The proposed method linearizes and decouples a nonlinear parabolic system at every time level, with second-order consistency error. The convergence of the proposed method is proved by combining energy estimates for evolution equations of parabolic and wave types with the generating function technique that is popular in studying ordinary differential equations. Several numerical examples are provided to support the theoretical result.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSIAM journal on numerical analysis, 2020, v. 58, no. 5, p. 2736-2763en_US
dcterms.isPartOfSIAM journal on numerical analysisen_US
dcterms.issued2020-
dc.identifier.scopus2-s2.0-85094169601-
dc.identifier.eissn1095-7170en_US
dc.description.validate202305 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberAMA-0140-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS54045598-
dc.description.oaCategoryVoR alloweden_US
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