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Solving partial differential equations on (evolving) surfaces with radial basis functions

机译:用径向基函数求解(进化)表面上的局部微分方程

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Meshfree, kernel-based spatial discretisations are recent tools to discretise partial differential equations on surfaces. The goals of this paper are to analyse and compare three different meshfree kernel-based methods for the spatial discretisation of semilinear parabolic partial differential equations (PDEs) on surfaces, i.e. on smooth, compact, connected, orientable, and closed (d - 1)-dimensional submanifolds of Rd. The three different methods are collocation, the Galerkin, and the RBF-FD method, respectively. Their advantages and drawbacks are discussed, and previously known theoretical results are extended and numerically verified. Finally, a significant part of this paper is devoted to solving PDEs on evolving surfaces with RBF-FD, which has not been done previously.
机译:网格免费,基于内核的空间拆别是最近在表面上离散的偏微分方程的工具。 本文的目标是分析和比较三种不同的网格免费内核基于基于网状内核的方法,以便在表面上的半线性抛物面部分微分方程(PDE)的空间离散化,即在光滑,紧凑,连接,可定向和关闭(D - 1)上 - RD的二维子宫。 三种不同的方法分别是搭配,Galerkin和RBF-FD方法。 讨论了它们的优点和缺点,并且先前已知的理论结果延长和数值验证。 最后,本文的重要部分致力于在与先前未完成的RBF-FD的不断发展的表面上求解PDE。

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