Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93877
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorJin, Ben_US
dc.creatorZhou, Zen_US
dc.date.accessioned2022-08-03T01:24:03Z-
dc.date.available2022-08-03T01:24:03Z-
dc.identifier.issn0036-1429en_US
dc.identifier.urihttp://hdl.handle.net/10397/93877-
dc.language.isoenen_US
dc.publisherSociety for Industrial and Applied Mathematicsen_US
dc.rights© 2021 Society for Industrial and Applied Mathematicsen_US
dc.rightsThe following publication Jin, B., & Zhou, Z. (2021). Error analysis of finite element approximations of diffusion coefficient identification for elliptic and parabolic problems. SIAM Journal on Numerical Analysis, 59(1), 119-142 is available at https://doi.org/10.1137/20M134383Xen_US
dc.subjectError estimateen_US
dc.subjectFinite element approximationen_US
dc.subjectParameter identificationen_US
dc.subjectTikhonov regularizationen_US
dc.titleError analysis of finite element approximations of diffusion coefficient identification for elliptic and parabolic problemsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage119en_US
dc.identifier.epage142en_US
dc.identifier.volume59en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1137/20M134383Xen_US
dcterms.abstractIn this work, we present a novel error analysis for recovering a spatially dependent diffusion coefficient in an elliptic or parabolic problem. It is based on the standard regularized output least-squares formulation with an H1(Ω) seminorm penalty and then discretized using the Galerkin finite element method with conforming piecewise linear finite elements for both state and coefficient and backward Euler in time in the parabolic case. We derive a priori weighted L2(Ω ) estimates where the constants depend only on the given problem data for both elliptic and parabolic cases. Further, these estimates also allow deriving standard L2(Ω ) error estimates under a positivity condition that can be verified for certain problem data. Numerical experiments are provided to complement the error analysis.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSIAM journal on numerical analysis, 2021, v. 59, no. 1, p. 119-142en_US
dcterms.isPartOfSIAM journal on numerical analysisen_US
dcterms.issued2021-
dc.identifier.scopus2-s2.0-85103760092-
dc.identifier.eissn1095-7170en_US
dc.description.validate202208 bcfcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberAMA-0077-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS50568227-
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