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dc.contributor.authorGjerde, Ingeborg Gåseby
dc.contributor.authorKumar, Kundan
dc.contributor.authorNordbotten, Jan Martin
dc.date.accessioned2022-04-11T13:26:18Z
dc.date.available2022-04-11T13:26:18Z
dc.date.created2021-09-28T17:52:57Z
dc.date.issued2021
dc.identifier.issn0036-1429
dc.identifier.urihttps://hdl.handle.net/11250/2990972
dc.description.abstractIn this work we consider the dual-mixed variational formulation of the Poisson equation with a line source. The analysis and approximation of this problem is nonstandard, as the line source causes the solutions to be singular. We start by showing that this problem admits a solution in appropriately weighted Sobolev spaces. Next, we show that given some assumptions on the problem parameters, the solution admits a splitting into higher- and lower-regularity terms. The lower-regularity terms are here explicitly known and capture the solution singularities. The higher-regularity terms, meanwhile, are defined as the solution of an associated mixed Poisson equation. With the solution splitting in hand, we then define a singularity removal--based mixed finite element method in which only the higher-regularity terms are approximated numerically. This method yields a significant improvement in the convergence rate when compared to approximating the full solution. In particular, we show that the singularity removal--based method yields optimal convergence rates for lowest-order Raviart--Thomas and discontinuous Lagrange elements.en_US
dc.language.isoengen_US
dc.publisherSIAMen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA Mixed Approach to the Poisson Problem with Line Sourcesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2021 SIAMen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.1137/19M1296549
dc.identifier.cristin1940071
dc.source.journalSIAM Journal on Numerical Analysisen_US
dc.source.pagenumber1117-1139en_US
dc.relation.projectNorges forskningsråd: 250223en_US
dc.identifier.citationSIAM Journal on Numerical Analysis. 2021, 59 (2), 1117-1139.en_US
dc.source.volume59en_US
dc.source.issue2en_US


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