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首页> 外文期刊>IMA Journal of Numerical Analysis >Multiscale methods with compactly supported radial basis functions for Galerkin approximation of elliptic PDEs
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Multiscale methods with compactly supported radial basis functions for Galerkin approximation of elliptic PDEs

机译:具有紧支持径向基函数的多尺度方法,用于椭圆PDE的Galerkin逼近

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摘要

The aim of this work is to consider multiscale algorithms for solving partial differential equations (PDEs) with Galerkin methods on bounded domains. We provide results on convergence and condition numbers. We show how to handle PDEs with Dirichlet boundary conditions. We also investigate convergence in terms of the mesh norms and the angles between subspaces to better understand the differences between the algorithms and the observed results. We also consider the issue of the supports of the radial basis funtions overlapping the boundary in our stability analysis, which has not been considered in the literature to the best of our knowledge.
机译:这项工作的目的是考虑使用有界域上的Galerkin方法求解偏微分方程(PDE)的多尺度算法。我们提供关于收敛和条件数的结果。我们展示了如何处理Dirichlet边界条件下的PDE。我们还根据网格规范和子空间之间的角度研究收敛性,以更好地理解算法与观察结果之间的差异。在我们的稳定性分析中,我们还考虑了径向基函数与边界重叠的支持问题,就我们所知,这在文献中还没有考虑过。

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