Department of Mathematics
On approximate cardinal preconditioning methods for solving PDEs with radial basis functions
The approximate cardinal basis function (ACBF) preconditioning technique has been used to solve partial differential equations (PDEs) with radial basis functions (RBFs). In [Ling L, Kansa EJ. A least-squares preconditioner for radial basis functions collocation methods. Adv Comput Math; in press], a preconditioning scheme that is based upon constructing the least-squares approximate cardinal basis function from linear combinations of the RBF-PDE matrix elements has shown very attractive numerical results. This preconditioning technique is sufficiently general that it can be easily applied to many differential operators. In this paper, we review the ACBF preconditioning techniques previously used for interpolation problems and investigate a class of preconditioners based on the one proposed in [Ling L, Kansa EJ. A least-squares preconditioner for radial basis functions collocation methods. Adv Comput Math; in press] when a cardinality condition is enforced on different subsets. We numerically compare the ACBF preconditioners on several numerical examples of Poisson's, modified Helmholtz and Helmholtz equations, as well as a diffusion equation and discuss their performance. © 2005 Elsevier Ltd. All rights reserved.
Cardinal basis function, Partial differential equation, Preconditioner, Radial basis function
Source Publication Title
Engineering Analysis with Boundary Elements
Link to Publisher's Edition
Brown, Damian, Leevan Ling, Edward Kansa, and Jermy Levesley. "On approximate cardinal preconditioning methods for solving PDEs with radial basis functions." Engineering Analysis with Boundary Elements 29.4 (2005): 343-353.