Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/54469

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dc.contributor.authorMachado, L.por
dc.contributor.authorMonteiro, M. Teresa T.por
dc.date.accessioned2018-04-18T15:42:31Z-
dc.date.issued2017-
dc.identifier.issn0393-0440-
dc.identifier.urihttps://hdl.handle.net/1822/54469-
dc.description.abstractApproximating data in curved spaces is a common procedure that is extremely required by modern applications arising, for instance, in aerospace and robotics industries.Here, we are particularly interested in finding smoothing cubic splines that best fit given data in the Euclidean sphere. To achieve this aim, a least squares optimization problem based on the minimization of a certain cost functional is formulated. To solve the problem a numerical algorithm is implemented using several routines from MATLAB toolboxes. The proposed algorithm is shown to be easy to implement, very accurate and precise for spherical data chosen randomly. (C) 2016 Elsevier B.V. All rights reserved.por
dc.description.sponsorshipThe second author was supported by ALGORITMI R&D Center under the project PEst-UID/CEC/00319/2013 financed by "Fundacao para a Ciencia e Tecnologia" (FCT Portugal).por
dc.language.isoengpor
dc.publisherElsevier Science BVpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147280/PTpor
dc.rightsrestrictedAccesspor
dc.subjectGeodesicspor
dc.subjectGeometric smoothing splinespor
dc.subjectLeast squarespor
dc.subjectNonlinear constrained optimizationpor
dc.titleA numerical optimization approach to generate smoothing spherical splinespor
dc.typearticlepor
dc.peerreviewedyespor
oaire.citationStartPage71por
oaire.citationEndPage81por
oaire.citationVolume111por
dc.date.updated2018-04-18T15:35:21Z-
dc.identifier.doi10.1016/j.geomphys.2016.10.007por
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
dc.subject.wosScience & Technology-
sdum.export.identifier5114-
sdum.journalJournal of Geometry and Physicspor
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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