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On Convergence of a Least-Squares Kansa’s Method for the Modified Helmholtz Equations
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作者 Ting-On Kwok Leevan Ling 《Advances in Applied Mathematics and Mechanics》 SCIE 2009年第3期367-382,共16页
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 c... 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 subspace selection process for the trial space(the so-called adaptive greedy algorithm)is employed,respectively,for small and large scale problems. 展开更多
关键词 Radial basis function adaptive greedy algorithm asymmetric collocation Kansa’s method convergence analysis
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