A meshless discrete collocation method for the numerical solution of singular-logarithmic boundary integral equations utilizing radial basis functions

被引:33
作者
Assari, Pouria [1 ]
Dehghan, Mehdi [2 ]
机构
[1] Bu Ali Sina Univ, Fac Sci, Dept Math, Hamadan 65178, Iran
[2] Amirkabir Univ Technol, Fac Math & Comp Sci, Dept Appl Math, 424 Hafez Ave, Tehran 15914, Iran
关键词
Boundary integral equation; Laplace's equation; Logarithmic singular kernel; Discrete collocation method; Radial basis function (RBF); Error analysis; DATA APPROXIMATION SCHEME; 2ND KIND; IMPLEMENTATION; INTERPOLATION; MULTIQUADRICS; CONVERGENCE;
D O I
10.1016/j.amc.2017.07.073
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The main intention of the current paper is to describe a scheme for the numerical solution of boundary integral equations of the second kind with logarithmic singular kernels. These types of integral equations result from boundary value problems of Laplace's equations with linear Robin boundary conditions. The method approximates the solution using the radial basis function (RBF) expansion with polynomial precision in the discrete collocation method. The collocation method for solving logarithmic boundary integral equations encounters more difficulties for computing the singular integrals which cannot be approximated by the classical quadrature formulae. To overcome this problem, we utilize the non-uniform composite Gauss-Legendre integration rule and employ it to estimate the singular logarithm integrals appeared in the method. Since the scheme is based on the use of scattered points spread on the analyzed domain and does not need any domain elements, we can call it as the meshless discrete collocation method. The new algorithm is successful and easy to solve various types of boundary integral equations with singular kernels. We also provide the error estimate of the proposed method. The efficiency and accuracy of the new approach are illustrated by some numerical examples. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:424 / 444
页数:21
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