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dc.contributor.authorLi, Fengyan
dc.contributor.authorGopalakrishnan, Jay
dc.contributor.authorPeraire, Jaime
dc.contributor.authorNguyen, Ngoc Cuong
dc.date.accessioned2017-03-09T21:38:58Z
dc.date.available2017-03-09T21:38:58Z
dc.date.issued2014-12
dc.date.submitted2012-07
dc.identifier.issn0025-5718
dc.identifier.issn1088-6842
dc.identifier.urihttp://hdl.handle.net/1721.1/107272
dc.description.abstractWe consider the numerical approximation of the spectrum of a second-order elliptic eigenvalue problem by the hybridizable discontinuous Galerkin (HDG) method. We show for problems with smooth eigenfunctions that the approximate eigenvalues and eigenfunctions converge at the rate 2k+1 and k+1, respectively. Here k is the degree of the polynomials used to approximate the solution, its flux, and the numerical traces. Our numerical studies show that a Rayleigh quotient-like formula applied to certain locally postprocessed approximations can yield eigenvalues that converge faster at the rate 2k + 2 for the HDG method as well as for the Brezzi-Douglas-Marini (BDM) method. We also derive and study a condensed nonlinear eigenproblem for the numerical traces obtained by eliminating all the other variables.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grants DMS-1211635, DMS-1318916, and CAREER Award DMS-0847241)en_US
dc.description.sponsorshipAlfred P. Sloan Foundation (Research Fellowship)en_US
dc.description.sponsorshipUnited States. Air Force Office of Scientific Research (Grant FA9550-12-0357)en_US
dc.language.isoen_US
dc.publisherAmerican Mathematical Society (AMS)en_US
dc.relation.isversionofhttps://doi.org/10.1090/S0025-5718-2014-02885-8en_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.sourceAmerican Mathematical Societyen_US
dc.titleSpectral approximations by the HDG methoden_US
dc.typeArticleen_US
dc.identifier.citationGopalakrishnan, J. et al. “Spectral Approximations by the HDG Method.” Mathematics of Computation 84.293 (2014): 1037–1059. © 2014 American Mathematical Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.contributor.mitauthorPeraire, Jaime
dc.contributor.mitauthorNguyen, Ngoc Cuong
dc.relation.journalMathematics of Computationen_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.orderedauthorsGopalakrishnan, J,; Li, F.; Nguyen, N.-C.; Peraire, J.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8556-685X
mit.licensePUBLISHER_POLICYen_US


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