Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/36933

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dc.contributor.authorClain, Stéphanepor
dc.contributor.authorFigueiredo, Jorge Manuelpor
dc.contributor.authorLoubère, Raphaelpor
dc.contributor.authorDiot, Stevenpor
dc.date.accessioned2015-09-09T11:34:55Z-
dc.date.available2015-09-09T11:34:55Z-
dc.date.issued2015-03-26-
dc.identifier.urihttp://hdl.handle.net/1822/36933-
dc.description.abstractFinite volume method is the usual framework to deal with numerical approximations for hyperbolic systems such as Shallow-Water or Euler equations due to its natural built-in conservation property. Since the first-order method produces too much numerical diffusion, popular second-order techniques, based on the MUSCL methodology, have been widely developed in the ’80s to provide both accurate solutions and robust schemes, avoiding non-physical oscillations in the vicinity of the discontinuities. Although second-order schemes are accurate enough for the major industrial applications, they still generate too much numerical diffusion for particular situations (acoustic, aeronautic, long time simulation for Tsunami) and very high-order methods i.e. larger than third-order, are required to provide an excellent approximation for local smooth solution as well as an efficient control on the spurious oscillations deriving from the Gibbs’ phenomenon. During the ’90s and up to nowadays, two main techniques have been developed to tackle the accuracy issue. The ENO/WENO which can cast in the finite volume context mainly concerns structured grids since the unstructured case turns to be very complex with a huge computational cost. The Discontinuous Galerkin method handles very well accurate approximations but the computational cost and implementation effort are also very high. In 2010 was published a seminal paper that proposed a radically different method. The philosophy consists to use an a posteriori approach to prevent from creating oscillations whereas the traditional methods employ an a priori method which dramatically cuts the accuracy order. In this document, I shall briefly present the MOOD method, show its main advantages and give an overview of the current applications.por
dc.description.sponsorshipThis research was financed by FEDER Funds through Programa Operational Fatores de Competitividade — COMPETE and by Portuguese Funds FCT — Fundação para a Ciência e a Tecnologia, within the Projects PEst-C/MAT/UI0013/2014, PTDC/MAT/121185/2010 and FCT-ANR/MAT-NAN/0122/2012.por
dc.language.isoengpor
dc.publisherAssociação Portuguesa de Mecânica Teórica, Aplicada e Computacional (APMTAC)por
dc.relationinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/124734/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/121185/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/135888/PTpor
dc.rightsopenAccesspor
dc.subjectHyperbolic problempor
dc.subjectMOODpor
dc.subjectPolynomial reconstructionpor
dc.subjectFinite volumepor
dc.titleAn overview on the multidimensional optimal order detection methodpor
dc.typeconferencePaper-
dc.peerreviewedyespor
dc.relation.publisherversionhttp://symcomp.net/index.htmpor
sdum.publicationstatuspublishedpor
oaire.citationConferenceDateMarch 26-27, 2015por
sdum.event.typeconferencepor
oaire.citationStartPage69por
oaire.citationEndPage87por
oaire.citationConferencePlaceFaro, Portugalpor
oaire.citationTitleSYMCOMP 2015por
dc.subject.fosCiências Naturais::Matemáticaspor
sdum.conferencePublicationSYMCOMP 2015por
Appears in Collections:CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review

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