A Collocation Method Using Radial Polynomials for Solving Partial Differential Equations

被引:1
|
作者
Ku, Cheng-Yu [1 ,2 ]
Xiao, Jing-En [2 ]
机构
[1] Natl Taiwan Ocean Univ, Ctr Excellence Ocean Engn, Keelung 20224, Taiwan
[2] Natl Taiwan Ocean Univ, Dept Harbor & River Engn, Keelung 20224, Taiwan
来源
SYMMETRY-BASEL | 2020年 / 12卷 / 09期
关键词
multiquadric; radial basis function; radial polynomials; the shape parameter; meshless; Kansa method; PARAMETER; RBF;
D O I
10.3390/sym12091419
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this article, a collocation method using radial polynomials (RPs) based on the multiquadric (MQ) radial basis function (RBF) for solving partial differential equations (PDEs) is proposed. The new global RPs include only even order radial terms formulated from the binomial series using the Taylor series expansion of the MQ RBF. Similar to the MQ RBF, the RPs is infinitely smooth and differentiable. The proposed RPs may be regarded as the equivalent expression of the MQ RBF in series form in which no any extra shape parameter is required. Accordingly, the challenging task for finding the optimal shape parameter in the Kansa method is avoided. Several numerical implementations, including problems in two and three dimensions, are conducted to demonstrate the accuracy and robustness of the proposed method. The results depict that the method may find solutions with high accuracy, while the radial polynomial terms is greater than 6. Finally, our method may obtain more accurate results than the Kansa method.
引用
收藏
页数:14
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