A KERNEL-BASED LEAST-SQUARES COLLOCATION METHOD FOR SURFACE DIFFUSION

被引:7
作者
Chen, Meng [1 ,2 ]
Cheung, Ka Chun [3 ,4 ]
Ling, Leevan [4 ]
机构
[1] Nanchang Univ, Sch Math & Comp Sci, Nanchang, Peoples R China
[2] Nanchang Univ, Inst Math & Interdisciplinary Sci, Nanchang, Peoples R China
[3] NVIDIA Technol Ctr NVAITC, NVIDIA, Santa Clara, CA USA
[4] Hong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R China
关键词
meshfree method; Kansa method; radial basis function; method of lines; parabolic PDEs; convergence analysis; SEMILINEAR PARABOLIC EQUATIONS; RADIAL BASIS FUNCTIONS; EMBEDDING METHOD; MESHLESS; INTERPOLATION; MOTION;
D O I
10.1137/21M1444369
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
There are plenty of applications and analyses for time-independent elliptic partial differential equations in the literature hinting at the benefits of overtesting by using more collocation conditions than the number of basis functions. Overtesting not only reduces the problem size, but is also known to be necessary for stability and convergence of widely used asymmetric Kansa-type strong-form collocation methods. We consider kernel-based meshfree methods, which are methods of lines with collocation and overtesting spatially, for solving parabolic partial differential equations on surfaces without parametrization. In this paper, we extend the time-independent convergence theories for overtesting techniques to the parabolic equations on smooth and closed surfaces.
引用
收藏
页码:1386 / 1404
页数:19
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