Jan 2, 2018 · We provide denseness conditions for a constrained least-squares method and a class of weighted least-squares algorithms to be convergent.
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The strong-form asymmetric kernel-based collocation method, commonly referred to as the Kansa method, is easy to implement and hence is widely used for solving ...
This paper aims to continue our theoretical contributions to the unsymmetric radial basis function (RBF) collocation method, which is also known as the Kansa ...
Feb 20, 2018 · For d ≤ 3, the proposed methods are optimal in H2(Ω). We demonstrate the effects of various collocation settings on the respective convergence ...
Dec 18, 2024 · The strong-form asymmetric kernel-based collocation method, commonly referred to as the Kansa method, is easy to implement and hence is ...
Missing: H2- | Show results with:H2-
The strong-form asymmetric kernel-based collocation method, commonly referred to as the Kansa method, is easy to implement and hence is widely used for solving ...
Missing: H2- | Show results with:H2-
Such formulation has been proven to have optimal convergence in H2. Our aim is to investigate the convergence behaviour of some three dimensional test problems.
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This paper focuses on general second order linear elliptic differential equations in $\Omega \subset R^d$ under Dirichlet boundary ...
Missing: H2- | Show results with:H2-
May 8, 2023 · When applied to linear PDEs our kernel method coincides with the so-called symmetric collocation method [70, Sec. 14] and is closely associated ...
By exploiting the meshless property of kernel-based collocation methods, we propose a fully automatic numerical recipe for solving interpolation/regression and ...