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dc.contributor.authorBosma, Sebastian B.M.
dc.contributor.authorKlevtsov, Sergey
dc.contributor.authorMøyner, Olav
dc.contributor.authorCastelletto, Nicola
dc.date.accessioned2022-10-26T09:07:57Z
dc.date.available2022-10-26T09:07:57Z
dc.date.created2021-04-07T11:59:34Z
dc.date.issued2021
dc.identifier.citationJournal of Computational Physics. 2021, 428 1-19.en_US
dc.identifier.issn0021-9991
dc.identifier.urihttps://hdl.handle.net/11250/3028357
dc.description.abstractA novel method to enable application of the Multiscale Restricted Smoothed Basis (MsRSB) method to non M-matrices is presented. The original MsRSB method is enhanced with a filtering strategy enforcing M-matrix properties to enable the robust application of MsRSB as a preconditioner. Through applications to porous media flow and linear elastic geomechanics, the method is proven to be effective for scalar and vector problems with multipoint finite volume (FV) and finite element (FE) discretization schemes, respectively. Realistic complex (un)structured two- and three-dimensional test cases are considered to illustrate the method's performance.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleEnhanced multiscale restriction-smoothed basis (MsRSB) preconditioning with applications to porous media flow and geomechanicsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber1-19en_US
dc.source.volume428en_US
dc.source.journalJournal of Computational Physicsen_US
dc.identifier.doi10.1016/j.jcp.2020.109934
dc.identifier.cristin1902675
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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