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dc.contributor.authorFortes, Miguel Ángel
dc.contributor.authorMedina Reus, Elena Blanca 
dc.contributor.otherMatemáticases_ES
dc.dateinfo:eu-repo/date/embargoEnd/2024-01-01
dc.date.accessioned2022-05-13T06:44:01Z
dc.date.available2022-05-13T06:44:01Z
dc.date.issued2022-01
dc.identifier.issn0378-4754
dc.identifier.urihttp://hdl.handle.net/10498/26651
dc.description.abstractIn this paper we present a method to fit missing data – i.e., to fit a dataset containing a region in which no data are provided– by means of a C1-quadratic patch. Such a patch is constructed to faithfully extend the shape and the geometric features of the dataset. To this end, a mesh of curves gathering the information about the shape of the dataset will be considered and extended to the interior of the hole. Next, a (unique) patch fitting such a mesh of curves will be computed. Several numerical and graphical examples showing the effectiveness of the proposed method are providedes_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.sourceMathematics and Computers in Simulation Volume 191, January 2022, Pages 33-48es_ES
dc.subjectPowell-Sabin finite elementes_ES
dc.subjectmissing dataes_ES
dc.subjectsurface reconstructiones_ES
dc.subjectenergy functionales_ES
dc.subjectshape-preservinges_ES
dc.subjectB ́ezier curveses_ES
dc.titleFitting missing data by means of adaptive meshes of Bézier curveses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.matcom.2021.07.025
dc.relation.projectIDPGC2018-094898-B-I00es_ES


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