Please use this identifier to cite or link to this item: https://doi.org/10.1002/fld.1315
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dc.titleIntegrated radial basis functions-based differential quadrature method and its performance
dc.contributor.authorShu, C.
dc.contributor.authorWu, Y.L.
dc.date.accessioned2014-06-17T06:24:48Z
dc.date.available2014-06-17T06:24:48Z
dc.date.issued2007-02-28
dc.identifier.citationShu, C., Wu, Y.L. (2007-02-28). Integrated radial basis functions-based differential quadrature method and its performance. International Journal for Numerical Methods in Fluids 53 (6) : 969-984. ScholarBank@NUS Repository. https://doi.org/10.1002/fld.1315
dc.identifier.issn02712091
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/60570
dc.description.abstractIn this paper, indirect radial basis function networks (IRBFN) proposed by Nam and Tranh (Neural Networks 2001; 14(2):185-199; Appl. Math. Modelling 2003; 27:197-220) are incorporated into the differential quadrature (DQ) approximation of derivatives. For simplicity, this new variant of RBF-DQ approach is named as iRBF-DQ method. The proposed approach is validated by its application to solve the one-dimensional Burger's equation, and simulate natural convection in a concentric annulus by solving Navier-Stokes equations. It was found that as compared to the benchmark data, the iRBF-DQ approach can provide more accurate results than the original RBF-DQ method. Copyright © 2006 John Wiley & Sons, Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1002/fld.1315
dc.sourceScopus
dc.subjectApproximation of derivatives
dc.subjectBurger's equation
dc.subjectConcentric annuli
dc.subjectIntegrated RBF
dc.subjectiRBF-DQ
dc.subjectNatural convection
dc.subjectRBF-DQ
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1002/fld.1315
dc.description.sourcetitleInternational Journal for Numerical Methods in Fluids
dc.description.volume53
dc.description.issue6
dc.description.page969-984
dc.description.codenIJNFD
dc.identifier.isiut000244108200005
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