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dc.contributor.authorKarageorghis, Andreasen
dc.contributor.authorTryfonos, P.en
dc.creatorKarageorghis, Andreasen
dc.creatorTryfonos, P.en
dc.date.accessioned2021-01-25T08:41:25Z
dc.date.available2021-01-25T08:41:25Z
dc.date.issued2019
dc.identifier.issn2046-0546
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/62860
dc.description.abstractThe radial basis function (RBF) collocation method is applied for the approximation of functions in two variables. When the RBFs employed include a shape parameter, the determination of an appropriate value for it is a major issue. In this work, this is addressed by including the value of the shape parameter in the unknowns along with the coefficients of the RBFs in the approximation. The variable shape parameter case when a different shape parameter is associated with each RBF in the approximation is also considered. Both approaches yield nonlinear systems of equations, which are solved by a standard non-linear solver. The results of several numerical experiments are presented.en
dc.language.isoengen
dc.sourceInternational Journal of Computational Methods and Experimental Measurementsen
dc.sourceSouthamptonen
dc.source.urihttps://search.proquest.com/docview/2288815834/abstract/3E83A9E7E0204405PQ/1
dc.titleShape parameter estimation in RBF function approximationen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doihttp://dx.doi.org/10.2495/CMEM-V7-N3-246-259
dc.description.volume7
dc.description.issue3
dc.description.startingpage246
dc.description.endingpage259
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeArticleen
dc.contributor.orcidKarageorghis, Andreas [0000-0002-8399-6880]
dc.gnosis.orcid0000-0002-8399-6880


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