A meshfree method based on radial basis functions for the eigenvalues of transient Stokes equations

被引:17
作者
Golbabai, A. [1 ]
Rabiei, H. [1 ]
机构
[1] Iran Univ Sci & Technol, Sch Math, Tehran, Iran
关键词
Stokes eigenvalue problem; RBF; Collocation method; Shape parameter; Collocation on boundary technique; DATA APPROXIMATION SCHEME; FINITE-ELEMENT-METHOD; NEURAL-NETWORK; SUPERCONVERGENCE; MULTIQUADRICS; PERFORMANCE; FLOW;
D O I
10.1016/j.enganabound.2012.04.001
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, a meshfree method based on radial basis functions (RBFs) is developed to approximate the eigenvalues of Stokes equations in primitive variables in a square domain. To avoid the inaccuracy near the boundaries, the collocation on boundary technique is applied. This approach leads to more accurate solutions in comparisons with finite element methods. To investigate the role of shape parameter in approximation, some discussion on shape parameter is presented. (c) 2012 Published by Elsevier Ltd.
引用
收藏
页码:1555 / 1559
页数:5
相关论文
共 42 条
[1]  
ANDERSON E., 1999, LAPACK USERSGUIDE, V3rd
[2]  
[Anonymous], 1988, Chicago Lectures in Mathematics
[3]   ERROR ESTIMATES FOR FINITE-ELEMENT METHOD SOLUTION OF THE STOKES PROBLEM IN THE PRIMITIVE VARIABLES [J].
BERCOVIER, M ;
PIRONNEAU, O .
NUMERISCHE MATHEMATIK, 1979, 33 (02) :211-224
[4]  
Chen W., 2006, Applications of Mathematics, V51, P73
[5]  
Ern A, 1999, MATH METHOD APPL SCI, V22, P531, DOI 10.1002/(SICI)1099-1476(199904)22:6<531::AID-MMA51>3.0.CO
[6]  
2-9
[7]   Improved multiquadric method for elliptic partial differential equations via PDE collocation on the boundary [J].
Fedoseyev, AL ;
Friedman, MJ ;
Kansa, EJ .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2002, 43 (3-5) :439-455
[8]   Modified homotopy perturbation method for solving the Stokes equations [J].
Feng, Xinlong ;
He, Yinnian .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2011, 61 (08) :2262-2266
[9]   Observations on the behavior of radial basis function approximations near boundaries [J].
Fornberg, B ;
Driscoll, TA ;
Wright, G ;
Charles, R .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2002, 43 (3-5) :473-490
[10]   A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling [J].
Gan, Min ;
Peng, Hui ;
Peng, Xiaoyan ;
Chen, Xiaohong ;
Inoussa, Garba .
INFORMATION SCIENCES, 2010, 180 (22) :4370-4383