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dc.contributor.authorYano, Masayuki
dc.date.accessioned2014-07-08T16:22:36Z
dc.date.available2014-07-08T16:22:36Z
dc.date.issued2014-02
dc.date.submitted2013-11
dc.identifier.issn1064-8275
dc.identifier.issn1095-7197
dc.identifier.urihttp://hdl.handle.net/1721.1/88191
dc.description.abstractWe present a space-time certified reduced basis method for long-time integration of parametrized parabolic equations with quadratic nonlinearity which admit an affine decomposition in parameter but with no restriction on coercivity of the linearized operator. We first consider a finite element discretization based on discontinuous Galerkin time integration and introduce associated Petrov--Galerkin space-time trial- and test-space norms that yield optimal and asymptotically mesh independent stability constants. We then employ an $hp$ Petrov--Galerkin (or minimum residual) space-time reduced basis approximation. We provide the Brezzi--Rappaz--Raviart a posteriori error bounds which admit efficient offline-online computational procedures for the three key ingredients: the dual norm of the residual, an inf-sup lower bound, and the Sobolev embedding constant. The latter are based, respectively, on a more round-off resistant residual norm evaluation procedure, a variant of the successive constraint method, and a time-marching implementation of a fixed-point iteration of the embedding constant for the discontinuous Galerkin norm. Finally, we apply the method to a natural convection problem governed by the Boussinesq equations. The result indicates that the space-time formulation enables rapid and certified characterization of moderate-Grashof-number flows exhibiting steady periodic responses. However, the space-time reduced basis convergence is slow, and the Brezzi--Rappaz--Raviart threshold condition is rather restrictive, such that offline effort will be acceptable only for very few parameters.en_US
dc.description.sponsorshipUnited States. Air Force Office of Scientific Research. Multidisciplinary University Research Initiative (Grant FA9550-09-1-0613)en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Grant N00014-11-1-0713)en_US
dc.language.isoen_US
dc.publisherSociety for Industrial and Applied Mathematicsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1137/120903300en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSociety for Industrial and Applied Mathematicsen_US
dc.titleA Space-Time Petrov--Galerkin Certified Reduced Basis Method: Application to the Boussinesq Equationsen_US
dc.typeArticleen_US
dc.identifier.citationYano, Masayuki. “A Space-Time Petrov--Galerkin Certified Reduced Basis Method: Application to the Boussinesq Equations.” SIAM Journal on Scientific Computing 36, no. 1 (February 20, 2014): A232–A266. © 2014, Society for Industrial and Applied Mathematicsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.mitauthorYano, Masayukien_US
dc.relation.journalSIAM Journal on Scientific Computingen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsYano, Masayukien_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8323-9054
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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