Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/95651
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorGui, Xen_US
dc.creatorLi, Ben_US
dc.creatorWang, Jen_US
dc.date.accessioned2022-09-27T02:46:32Z-
dc.date.available2022-09-27T02:46:32Z-
dc.identifier.issn0036-1429en_US
dc.identifier.urihttp://hdl.handle.net/10397/95651-
dc.language.isoenen_US
dc.publisherSociety for Industrial and Applied Mathematicsen_US
dc.rights© 2022 Society for Industrial and Applied Mathematicsen_US
dc.rightsThe following publication Gui, X., Li, B., & Wang, J. (2022). Convergence of Renormalized Finite Element Methods for Heat Flow of Harmonic Maps. SIAM Journal on Numerical Analysis, 60(1), 312-338 is available at https://doi.org/10.1137/21M1402212.en_US
dc.subjectError estimatesen_US
dc.subjectFinite element methodsen_US
dc.subjectHeat flow of harmonic mapsen_US
dc.subjectLumped massen_US
dc.subjectRenormalization at nodesen_US
dc.titleConvergence of renormalized finite element methods for heat flow of harmonic mapsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage312en_US
dc.identifier.epage338en_US
dc.identifier.volume60en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1137/21M1402212en_US
dcterms.abstractA linearly implicit renormalized lumped mass finite element method is considered for solving the equations describing heat flow of harmonic maps, of which the exact solution naturally satisfies the pointwise constraint |m| = 1. At every time level, the method first computes an auxiliary numerical solution by a linearly implicit lumped mass method and then renormalizes it at all finite element nodes before proceeding to the next time level. It is shown that such a renormalized finite element method has an error bound of O(T+ hr+1) for tensor-product finite elements of degree r ≽ 1. The proof of the error estimates is based on a geometric relation between the auxiliary and renormalized numerical solutions. The extension of the error analysis to triangular mesh is straightforward and discussed in the conclusion section.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSIAM journal on numerical analysis, 2022, v. 60, no. 1, p. 312-338en_US
dcterms.isPartOfSIAM journal on numerical analysisen_US
dcterms.issued2022-
dc.identifier.scopus2-s2.0-85131327600-
dc.identifier.ros2021003817-
dc.identifier.eissn1095-7170en_US
dc.description.validate202209 bchyen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberCDCF_2021-2022-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS70246172-
dc.description.oaCategoryVoR alloweden_US
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