Hide metadata

dc.date.accessioned2022-03-12T18:19:01Z
dc.date.available2022-03-12T18:19:01Z
dc.date.created2021-12-17T13:25:03Z
dc.date.issued2021
dc.identifier.citationBressan, Andrea Floater, Michael S. Sande, Espen . On best constants in L2 approximation. IMA Journal of Numerical Analysis. 2021, 41(4), 2830-2840
dc.identifier.urihttp://hdl.handle.net/10852/92394
dc.description.abstractIn this paper we provide explicit upper and lower bounds on certain L2n-widths, i.e., best constants in L2 approximation. We further describe a numerical method to compute these n-widths approximately and prove that this method is superconvergent. Based on our numerical results we formulate a conjecture on the asymptotic behaviour of the n-widths. Finally, we describe how the numerical method can be used to compute the breakpoints of the optimal spline spaces of Melkman and Micchelli, which have recently received renewed attention in the field of isogeometric analysis.
dc.languageEN
dc.titleOn best constants in L2 approximation
dc.typeJournal article
dc.creator.authorBressan, Andrea
dc.creator.authorFloater, Michael S.
dc.creator.authorSande, Espen
cristin.unitcode185,0,0,0
cristin.unitnameUniversitetet i Oslo
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2
dc.identifier.cristin1969960
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=IMA Journal of Numerical Analysis&rft.volume=41&rft.spage=2830&rft.date=2021
dc.identifier.jtitleIMA Journal of Numerical Analysis
dc.identifier.volume41
dc.identifier.issue4
dc.identifier.startpage2830
dc.identifier.endpage2840
dc.identifier.doihttps://doi.org/10.1093/imanum/draa041
dc.identifier.urnURN:NBN:no-94989
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0272-4979
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/92394/1/best-nbc.pdf
dc.type.versionAcceptedVersion


Files in this item

Appears in the following Collection

Hide metadata