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dc.contributor.authorKarageorghis, Andreasen
dc.contributor.authorTryfonos, Pinelopien
dc.coverage.spatialNew Forest, UKen
dc.creatorKarageorghis, Andreasen
dc.creatorTryfonos, Pinelopien
dc.date.accessioned2021-01-25T08:41:25Z
dc.date.available2021-01-25T08:41:25Z
dc.date.issued2019
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/62857
dc.description.abstractWe apply a radial basis function (RBF) collocation method for the approximation of functions in two dimensions. The solution is approximated by a linear combination of radial basis functions. The issue of determining the optimal value of the shape parameter is tackled by including it in the unknowns along with the coefficients of the RBFs in the approximation. The resulting nonlinear system of equations is solved by directly applying a standard non-linear solver. The results of some numerical experiments are presented and analysed.en
dc.publisherWIT Pressen
dc.sourceBoundary Elements and other Mesh Reduction Methods XXXXI, WIT Transactions on Engineering Sciences, Volume 122en
dc.sourceBEM/MRM 2018en
dc.source.urihttp://library.witpress.com/viewpaper.asp?pcode=BE41-014-1
dc.titleDetermination of shape parameter in RBF approximationen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.2495/BE410141
dc.description.startingpage153
dc.description.endingpage162
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.uhtypeConference Objecten
dc.contributor.orcidKarageorghis, Andreas [0000-0002-8399-6880]
dc.gnosis.orcid0000-0002-8399-6880


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