Improved multiquadric method for elliptic partial differential equations via PDE collocation on the boundary

被引:161
作者
Fedoseyev, AL [1 ]
Friedman, MJ
Kansa, EJ
机构
[1] Univ Alabama, Ctr Micrograv & Mat Res, Huntsville, AL 35899 USA
[2] Univ Alabama, Dept Math Sci, Huntsville, AL 35899 USA
[3] Embry Riddle Aeronaut Univ, Oakland, CA 94621 USA
基金
美国国家航空航天局;
关键词
radial basis functions; multiquadric method; numerical solution; continuation; bifurcations; nonlinear elliptic PDEs;
D O I
10.1016/S0898-1221(01)00297-8
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The multiquadric radial basis function (MQ) method is a recent meshless collocation method with global basis functions. It was introduced for discretizing partial differential equations (PDEs) by Kansa in the early 1990s. The MQ method was originally used for interpolation of scattered data, and it was shown to have exponential convergence for interpolation problems. In [1], we have extended the Kansa-MQ method to numerical solution and detection of bifurcations in 1D and 2D parameterized nonlinear elliptic PDEs. We have found there that the modest size nonlinear systems resulting from the MQ discretization can be efficiently continued by a standard continuation software, such as AUTO. We have observed high accuracy with a small number of unknowns, as compared with most known results from the literature. In this paper, we formulate an improved Kansa-MQ method with PDE collocation on the boundary (MQ PDECB): we add an additional set of nodes (which can lie inside or outside of the domain) adjacent to the boundary and, correspondingly, add an additional set of collocation equations obtained via collocation of the PDE on the boundary. Numerical results are given that show a considerable improvement in accuracy of the MQ PDECB method over the Kansa-MQ method, with both methods having exponential convergence with essentially the same rates. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:439 / 455
页数:17
相关论文
共 32 条
[1]  
[Anonymous], 1997, AUTO 97: Continuation and Bifurcation Software for Ordinary Differential Equations, user's Manual
[2]  
Babenko K.I., 1986, FDN NUMERICAL ANAL
[3]   Fast fitting of radial basis functions: Methods based on preconditioned GMRES iteration [J].
Beatson, RK ;
Cherrie, JB ;
Mouat, CT .
ADVANCES IN COMPUTATIONAL MATHEMATICS, 1999, 11 (2-3) :253-270
[4]  
BELYKH VN, 1988, SOV MATH DOKL, V36, P146
[5]  
BELYKH VN, 1995, ADV MATH COMP APPL P, P458
[6]  
COOK GB, 1993, APPROXIMATIONS NUMER, P265
[7]  
Doedel E, 2000, NOTE NUM FL, V74, P105
[8]   Solving differential equations with radial basis functions: multilevel methods and smoothing [J].
Fasshauer, GE .
ADVANCES IN COMPUTATIONAL MATHEMATICS, 1999, 11 (2-3) :139-159
[9]  
Fedoseyev A. I., 1998, CONTINUUM MODELS DIS, P130
[10]   Investigation of vibrational control of convective flows in Bridgman melt growth configurations [J].
Fedoseyev, AI ;
Alexander, JID .
JOURNAL OF CRYSTAL GROWTH, 2000, 211 (1-4) :34-42