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dc.contributor.authorSegeth, Karel
dc.date.accessioned2021-11-03T13:17:20Z
dc.date.available2021-11-03T13:17:20Z
dc.date.issued2021
dc.identifier.citationActa Polytechnica. 2021, vol. 61, no. SI, p. 148-154.
dc.identifier.issn1210-2709 (print)
dc.identifier.issn1805-2363 (online)
dc.identifier.urihttp://hdl.handle.net/10467/98400
dc.description.abstractData measuring and further processing is the fundamental activity in all branches of science and technology. Data interpolation has been an important part of computational mathematics for a long time. In the paper, we are concerned with the interpolation by polyharmonic splines in an arbitrary dimension. We show the connection of this interpolation with the interpolation by radial basis functions and the smooth interpolation by generating functions, which provide means for minimizing the L2 norm of chosen derivatives of the interpolant. This can be useful in 2D and 3D, e.g., in the construction of geographic information systems or computer aided geometric design. We prove the properties of the piecewise polyharmonic spline interpolant and present a simple 1D example to illustratethem.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherČeské vysoké učení technické v Prazecs
dc.publisherCzech Technical University in Pragueen
dc.relation.ispartofseriesActa Polytechnica
dc.relation.urihttps://ojs.cvut.cz/ojs/index.php/ap/article/view/6125
dc.rightsCreative Commons Attribution 4.0 International Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleMULTIVARIATE INTERPOLATION USING POLYHARMONIC SPLINES
dc.typearticleen
dc.date.updated2021-11-03T13:17:20Z
dc.identifier.doi10.14311/AP.2021.61.0148
dc.rights.accessopenAccess
dc.type.statusPeer-reviewed
dc.type.versionpublishedVersion


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Zobrazit minimální záznam

Creative Commons Attribution 4.0 International License
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