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dc.contributor.authorMaday, Yvon*
dc.contributor.authorMula, Olga*
dc.contributor.authorTurinici, Gabriel*
dc.date.accessioned2013-03-11T14:19:56Z
dc.date.available2013-03-11T14:19:56Z
dc.date.issued2013
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/11125
dc.descriptionThe 10th International Conference on Sampling Theory and Applications (SampTA) took place from July 1 till July 5, 2013, in Bremen, Germany
dc.language.isoenen
dc.subjectinterpolation
dc.subjectreduced basis
dc.subjectEIM
dc.subjectGEIM
dc.subjectempirical interpolation
dc.subject.ddc515en
dc.titleA priori convergence of the Generalized Empirical Interpolation Method
dc.typeCommunication / Conférence
dc.description.abstractenIn an effort to extend the classical lagrangian interpolation tools, new interpolating methods that use general interpolating functions are explored. The Generalized Empirical Interpolation Method (GEIM) belongs to this class of new techniques. It generalizes the plain Empirical Interpolation Method by replacing the evaluation at interpolating points by application of a class of interpolating linear functions. Since its efficiency depends critically on the choice of the interpolating functions (that are chosen by a Greedy selection procedure), the purpose of this paper is therefore to provide a priori convergence rates for the Greedy algorithm that is used to build the GEIM interpolating spaces.
dc.publisher.cityParisen
dc.identifier.citationpages168-171
dc.relation.ispartoftitleProceedings of the 10th International Conference on Sampling Theory and Applications (SampTA 2013)
dc.relation.ispartofpublnameEURASIP
dc.relation.ispartofdate2013
dc.identifier.urlsitehttp://dx.doi.org/10.5281/zenodo.54367
dc.subject.ddclabelAnalyseen
dc.description.submittednonen
dc.identifier.doi10.5281/zenodo.54367
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2017-11-07T13:45:11Z
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