Optimization, conditioning and accuracy of radial basis function method for partial differential equations with nonlocal boundary conditions-A case of two-dimensional Poisson equation

被引:15
|
作者
Sajavicius, Svajunas [1 ,2 ]
机构
[1] Vilnius Univ, Dept Comp Sci 2, Fac Math & Informat, LT-03225 Vilnius, Lithuania
[2] Mykolas Romeris Univ, Dept Math Modelling, Fac Econ & Finance Management, LT-08303 Vilnius, Lithuania
关键词
Poisson equation; Nonlocal boundary condition; Meshless method; Radial basis function; Collocation; Shape parameter; Condition number; MULTIQUADRIC COLLOCATION METHOD; 2ND-ORDER PARABOLIC EQUATION; BASIS FUNCTION INTERPOLATION; DATA APPROXIMATION SCHEME; NUMERICAL-SOLUTION; SHAPE PARAMETER; SCATTERED DATA; ERROR ESTIMATE; SUBJECT; CONVERGENCE;
D O I
10.1016/j.enganabound.2013.01.009
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Various real-world processes usually can be described by mathematical models consisted of partial differential equations (PDEs) with nonlocal boundary conditions. Therefore, interest in developing computational methods for the solution of such nonclassical differential problems has been growing fast. We use a meshless method based on radial basis functions (RBF) collocation technique for the solution of two-dimensional Poisson equation with nonlocal boundary conditions. The main attention is paid to the influence of nonlocal conditions on the optimal choice of the RBF shape parameters as well as their influence on the conditioning and accuracy of the method. The results of numerical study are presented and discussed. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:788 / 804
页数:17
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