On Convergence of a Least-Squares Kansa's Method for the Modified Helmholtz Equations

被引:0
作者
Kwok, Ting-On [1 ]
Ling, Leevan [1 ]
机构
[1] Hong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R China
关键词
Radial basis function; adaptive greedy algorithm; asymmetric collocation; Kansa's method; convergence analysis; RADIAL BASIS FUNCTIONS; PARTIAL-DIFFERENTIAL-EQUATIONS; COMPUTATIONAL FLUID-DYNAMICS; MESHLESS COLLOCATION METHODS; DATA APPROXIMATION SCHEME; DECOMPOSITION; MULTIQUADRICS; BOUNDS;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We analyze a least-squares asymmetric radial basis function collocation method for solving the modified Helmholtz equations. In the theoretical part, we proved the convergence of the proposed method providing that the collocation points are sufficiently dense. For numerical verification, direct solver and a sub-space selection process for the trial space (the so-called adaptive greedy algorithm) is employed, respectively, for small and large scale problems.
引用
收藏
页码:367 / 382
页数:16
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