Please use this identifier to cite or link to this item:
|Title:||Integrated radial basis functions-based differential quadrature method and its performance|
|Authors:||Shu, C. |
|Keywords:||Approximation of derivatives|
|Citation:||Shu, 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|
|Abstract:||In 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.|
|Source Title:||International Journal for Numerical Methods in Fluids|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jul 17, 2018
WEB OF SCIENCETM
checked on Jul 9, 2018
checked on May 5, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.