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dc.contributor.authorTamin, Owen
dc.contributor.authorKarim, Samsul Ariffin Abdul
dc.contributor.authorHasan, Mohammad Khatim
dc.contributor.editorSkala, Václav
dc.date.accessioned2024-07-31T18:47:20Z-
dc.date.available2024-07-31T18:47:20Z-
dc.date.issued2024
dc.identifier.citationWSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 339-348.en
dc.identifier.issn2464–4625 (online)
dc.identifier.issn2464–4617 (print)
dc.identifier.urihttp://hdl.handle.net/11025/57408
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectkvartický polynomcs
dc.subjectkonvexní kombinacecs
dc.subjectvnitřní ordinátycs
dc.subjectrozptýlená datacs
dc.subjectinterpolacecs
dc.subjecttrojúhelníkovýcs
dc.subjectplochacs
dc.titleA Comparative Study of Convex Combination and Inner Ordinate Methods For Scattered Data Interpolation Using Quartic Triangular Patchen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedIn this study, we perform a comparative evaluation and assessment for the scattered data interpolation using a quartic polynomial triangular patch with ten control points on a triangular domain. The comparison is made using two different convex combinations and inner ordinates methods, i.e., cross derivative and cubic precision. Statistical Goodness-fit measurements used are maximum error, coefficient of determination (R 2 ), CPU time (in seconds), and contour plot. From the result, the cubic precision method with linear convex combination methods gave better results with smaller CPU times and higher R 2 value. All numerical and graphical results are presented using MATLAB programmingen
dc.subject.translatedquartic polynomialen
dc.subject.translatedconvex combinationen
dc.subject.translatedinner ordinatesen
dc.subject.translatedscattered dataen
dc.subject.translatedinterpolationen
dc.subject.translatedtriangularen
dc.subject.translatedpatchen
dc.identifier.doihttps://doi.org/10.24132/10.24132/CSRN.3401.37
dc.type.statusPeer revieweden
Appears in Collections:WSCG 2024: Full Papers Proceedings

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