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dc.date.accessioned2018-09-18T10:44:51Z
dc.date.available2018-09-18T10:44:51Z
dc.date.created2018-01-02T14:12:48Z
dc.date.issued2017
dc.identifier.citationBressan, Andrea Mokris, Dominik . A versatile strategy for the implementation of adaptive splines. Lecture Notes in Computer Science. 2017, 10521 LNCS, 42-73
dc.identifier.urihttp://hdl.handle.net/10852/64790
dc.description.abstractThis paper presents an implementation framework for spline spaces over T-meshes (and their d-dimensional analogs). The aim is to share code between the implementations of several spline spaces. This is achieved by reducing evaluation to a generalized Bézier extraction. The approach was tested by implementing hierarchical B-splines, truncated hierarchical B-splines, decoupled hierarchical B-splines (a novel variation presented here), truncated B-splines for partially nested refinement and hierarchical LR-splines.en_US
dc.languageEN
dc.publisherSpringer Verlag
dc.titleA versatile strategy for the implementation of adaptive splinesen_US
dc.typeJournal articleen_US
dc.creator.authorBressan, Andrea
dc.creator.authorMokris, Dominik
cristin.unitcode185,15,13,45
cristin.unitnameDifferensiallikninger og beregningsorientert matematikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.cristin1533857
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Lecture Notes in Computer Science&rft.volume=10521 LNCS&rft.spage=42&rft.date=2017
dc.identifier.jtitleLecture Notes in Computer Science
dc.identifier.volume10521 LNCS
dc.identifier.startpage42
dc.identifier.endpage73
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-319-67885-6_3
dc.identifier.urnURN:NBN:no-67322
dc.type.documentTidsskriftartikkelen_US
dc.type.peerreviewedPeer reviewed
dc.source.issn0302-9743
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/64790/2/s_main.pdf
dc.type.versionAcceptedVersion


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