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hal.structure.identifierModeling Enablers for Multi-PHysics and InteractionS [MEMPHIS]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorTADDEI, Tommaso
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModeling Enablers for Multi-PHysics and InteractionS [MEMPHIS]
dc.contributor.authorZHANG, Lei
dc.date.accessioned2024-04-04T02:47:13Z
dc.date.available2024-04-04T02:47:13Z
dc.date.issued2021-01
dc.identifier.issn0764-583X
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191623
dc.description.abstractEnWe propose a model reduction procedure for rapid and reliable solution of parameterized hyperbolic partial differential equations. Due to the presence of parameter-dependent shock waves and contact discontinuities, these problems are extremely challenging for traditional model reduction approaches based on linear approximation spaces. The main ingredients of the proposed approach are (i) an adaptive space-time registration-based data compression procedure to align local features in a fixed reference domain, (ii) a space-time Petrov–Galerkin (minimum residual) formulation for the computation of the mapped solution, and (iii) a hyper-reduction procedure to speed up online computations. We present numerical results for a Burgers model problem and a shallow water model problem, to empirically demonstrate the potential of the method.
dc.language.isoen
dc.publisherEDP Sciences
dc.subject.enModel order reduction
dc.subject.enParameterized hyperbolic partial differential equations
dc.subject.enData compression
dc.title.enSpace-time registration-based model reduction of parameterized one-dimensional hyperbolic PDEs
dc.typeArticle de revue
dc.identifier.doi10.1051/m2an/2020073
dc.subject.halMathématiques [math]
bordeaux.journalESAIM: Mathematical Modelling and Numerical Analysis
bordeaux.page99-130
bordeaux.volume55
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-03146217
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03146217v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=ESAIM:%20Mathematical%20Modelling%20and%20Numerical%20Analysis&rft.date=2021-01&rft.volume=55&rft.issue=1&rft.spage=99-130&rft.epage=99-130&rft.eissn=0764-583X&rft.issn=0764-583X&rft.au=TADDEI,%20Tommaso&ZHANG,%20Lei&rft.genre=article


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