Extending The Local Radial Basis Function Collocation Methods For Solving Semi-linear Partial Differential Equations
Price
Free (open access)
Transaction
Volume
49
Pages
12
Page Range
117 - 128
Published
2009
Size
277 kb
Paper DOI
10.2495/BE090111
Copyright
WIT Press
Author(s)
G. Gutierrez, O. R. Baquero, J. M. Valencia & W. F. Florez
Abstract
This work addresses local radial basis function (RBF) collocation methods for solving a major class of non-linear boundary value problems, i.e., Lu = f(x, u) being f a non-linear function of u. This class of problems has been largely analyzed in the BEM community. To our knowledge, few works are reported where the local RBF collocation methods (LRBFCM) based on the generalized Hermite RBF interpolation (double collocation) have been extended successfully to solve semi-linear problems even when extending to more complex nonlinear cases are not reported yet. The studied schemes are based on a strong-form approach of the PDE and an overlapping multi-domain procedure combining with standard iterative schemes. At each sub-domain, a locally meshless approximation solution by a standard or Hermite RBF expansion can be constructed.We studied also the performance respect to the shape parameter of RBF. It is confirmed that the local RBF double collocation can improve greatly the accuracy order. Some 2D benchmark problems with mixed boundary conditions showing the accuracy, convergence property and implementation issues of LRBFCM are presented. Keywords: RBF interpolation, double collocation, Domain decomposition methods, semi-linear equation, fully Newton method, Picard iteration.
Keywords
RBF interpolation, double collocation, Domain decomposition methods, semi-linear equation, fully Newton method, Picard iteration