基于径向基有限差分法求解带小粘性系数非齐次两点边值问题
A Finite Difference Method Based on Radial Basis Function for Non-Homogeneous Two-Point Boundary Value Problems with Small Viscosity Coefficient
DOI: 10.12677/AAM.2018.71004, PDF,    国家自然科学基金支持
作者: 段俊娜, 郭子滔, 冯仁忠:北京航空航天大学数学与系统科学学院,数学、信息与行为教育部重点实验室,北京
关键词: 径向基函数有限差分最佳参数收敛阶非齐两点边值问题小粘性系数The Finite Difference Based on Radial Basis Function Best Parameter Value Convergence Order Non-Homogeneous Two-Point Boundary Value Problems Small Viscosity Coefficient
摘要: 本文利用具有零次代数精度的一元径向基函数(Radial Basis Function,简记RBF)插值的Lagrange形式,给出在三等距节点的中心节点处逼近被插函数的一阶导数和二阶导数的有限差分(简记RBF-FD)公式。特别地,对二阶导函数径向基差分的逼近误差进行分析,给出了使其逼近阶达到最高的径向基函数的最佳参数值。然后,利用这些RBF-FD公式给出了求解带小粘性系数的非齐次两点边值问题的差分格式,使所构造格式的收敛阶是同节点模板的多项式差分格式收敛阶的2倍,而计算时间略有增加。数值实验表明所构造的RBF-FD格式在小粘性系数大于等于10−3的情况下能够保持四阶收敛速度。
Abstract: The paper uses the Lagrange’s form of one-dimensional radial basis function (abbr. RBF) interpo-lation with zero-degree algebraic precision to give the finite difference formulas (abbr. RBF-FD) for approximation of first derivative and second derivative of the interpolated function at the central node of the three equidistant nodes. In particular, the approximation error of second derivative of the RBF difference formula is analyzed, and the optimal parameter of the radial basis function, which makes the approximation order of RBF-FD reach the highest level, is obtained. Then, using these RBF-FD formulas, the RBF-FD scheme of the non-homogeneous two-point boundary value problem with small viscosity coefficient is given. The convergence order of the RBF-FD scheme constructed in this paper is two times of the polynomial finite difference scheme under the same node stencil. While, the calculating time of the RBF-FD scheme is only slightly increased. Numerical experiments indicate that the RBF-FD scheme can maintain the fourth-order convergence order under viscosity coefficient greater than or equal to 10−3.
文章引用:段俊娜, 郭子滔, 冯仁忠. 基于径向基有限差分法求解带小粘性系数非齐次两点边值问题[J]. 应用数学进展, 2018, 7(1): 20-29. https://doi.org/10.12677/AAM.2018.71004

参考文献

[1] 李荣华. 偏微分方程数值解法(第二版) [M]. 北京: 高等教育出版社, 2010.
[2] Micchelli, C. (1986) Interpolation of Scattered Data: Distance Matrices and Conditionally Positive Definite Functions. Constructive Approximation, 2, 11-22.
[Google Scholar] [CrossRef
[3] Wu, Z.M. (1992) Hermite-Birkhoff Interpolation of Scattered Data by Radial Basis Functions. Approximation Theory and Its Applications, 8, 1-10.
[4] Dyn, N., Levin, D. and Rippa, S. (1986) Numerical Procedures for Surface Fitting of Scattered Data by Radial Functions. SIAM Journal on Scientific and Statistical Computing, 7, 639-659.
[Google Scholar] [CrossRef
[5] Wendland, H. (2005) Scattered Data Approximation. Cambridge University Press, Cambridge.
[6] Driscoll, T.A. and Fornberg, B. (2002) Interpolation in the Limit of Increasingly Flat Radial Basis Functions. Computers & Mathematics with Applications, 43, 413-422.
[Google Scholar] [CrossRef
[7] Wright, G.B. and Fornberg, B. (2006) Scattered Node Compact Finite Difference-Type Formulas Generated from Radial Basis Function. Journal of Computational Physics, 212, 99-123.
[Google Scholar] [CrossRef
[8] Ding, H., Shu, C. and and Tang, D.B. (2005) Error Estimates of Local Multiquadric-Based Differential Quadrature (LMQDQ) Method through Numerical Experiments. International Journal for Numerical Methods in Engineering, 63, 1513-1529.
[Google Scholar] [CrossRef
[9] 朱起定, 赖军将. 变系数两点边值问题的有限元强校正格式[J]. 数学物理学报, 2006, 26A(6): 847-857.
[10] 田振夫. 含源定常对流扩散方程的一种高精度差分格式[J]. 宁夏大学学报(自然科学版), 1995, 16(1): 36-40.
[11] 田振夫. 两点边值问题的一种高精度差分方法[J]. 贵州大学学报, 1997, 14(2): 19-23.
[12] 刘明会. 两点边值问题的一种高精度差分方法[J]. 上海理工大学学报, 2005, 27(1): 68-70.
[13] 金涛, 马延福, 葛永斌. 两点边值问题的一种高阶隐式紧致差分方法[J]. 咸阳师范学院学报, 2011, 26(2): 1-3.
[14] 梁昌弘, 马延福, 葛永斌. 两点边值问题的混合型高精度紧致差分格式[J]. 宁夏大学学报(自然科学版), 2016, 37(3): 1-4.
[15] Fornberg, B., Wright, G. and Larsson, E. (2004) Some Observations Regarding Interpolants in the Limit of Flat Radial Basis Functions. Computers & Mathematics with Applications, 47, 37-55.
[Google Scholar] [CrossRef