Cartesian grid methods using radial basis functions for solving Poisson, Helmholtz, and diffusion–convection equations

Abstract Four methods that solve the Poisson, Helmholtz, and diffusion–convection problems on Cartesian grid by collocation with radial basis functions are presented. Each problem is split into a problem with an inhomogeneous equation and homogeneous boundary conditions, and a problem with a homogeneous equation and inhomogeneous boundary conditions. The former problem is solved by collocation with multiquadrics, whereas the latter problem is solved by collocation with either multiquadrics or fundamental solutions. It is found that methods that make use of fundamental solutions for collocation yield more accurate solutions that are less sensitive to the shape parameter of multiquadrics and node arrangement. Additional collocation appears to improve the quality of solutions.

[1]  R. E. Carlson,et al.  The parameter R2 in multiquadric interpolation , 1991 .

[2]  E. Kansa MULTIQUADRICS--A SCATTERED DATA APPROXIMATION SCHEME WITH APPLICATIONS TO COMPUTATIONAL FLUID-DYNAMICS-- II SOLUTIONS TO PARABOLIC, HYPERBOLIC AND ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS , 1990 .

[3]  ter Hg Hennie Morsche,et al.  B-spline approximation and fast wavelet transform for an efficient evaluation of particular solutions for Poisson's equation , 2002 .

[4]  Y. C. Hon,et al.  Numerical comparisons of two meshless methods using radial basis functions , 2002 .

[5]  Michael A. Golberg,et al.  The method of fundamental solutions for Poisson's equation , 1995 .

[6]  C. S. Chen,et al.  Some observations on unsymmetric radial basis function collocation methods for convection–diffusion problems , 2003 .

[7]  A. Charafi,et al.  An analysis of the linear advection–diffusion equation using mesh-free and mesh-dependent methods , 2002 .

[8]  E. Kansa,et al.  Improved multiquadric method for elliptic partial differential equations via PDE collocation on the boundary , 2002 .

[9]  M. Golberg,et al.  Improved multiquadric approximation for partial differential equations , 1996 .

[10]  A. Bogomolny Fundamental Solutions Method for Elliptic Boundary Value Problems , 1985 .

[11]  W. Chen,et al.  A meshless, integration-free, and boundary-only RBF technique , 2002, ArXiv.

[12]  H. Power,et al.  A comparison analysis between unsymmetric and symmetric radial basis function collocation methods for the numerical solution of partial differential equations , 2002 .

[13]  Olaf Steinbach,et al.  A Finite Element-Boundary Element Algorithm for Inhomogeneous Boundary Value Problems , 2002, Computing.

[14]  K. Balakrishnan,et al.  The method of fundamental solutions for linear diffusion-reaction equations , 2000 .

[15]  Jichun Li Mathematical justification for RBF-MFS , 2001 .

[16]  P. W. Partridge,et al.  The dual reciprocity boundary element method , 1991 .

[17]  K. Balakrishnan,et al.  Radial basis functions as approximate particular solutions: review of recent progress , 2000 .

[18]  Xiong Zhang,et al.  Meshless methods based on collocation with radial basis functions , 2000 .

[19]  R. E. Carlson,et al.  Improved accuracy of multiquadric interpolation using variable shape parameters , 1992 .