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Localized method of fundamental solutions for three-dimensional inhomogeneous elliptic problems: theory and MATLAB code

机译:三维不均匀椭圆问题基本解决方案的本地化方法:理论与MATLAB代码

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In this paper we investigate the application of the localized method of fundamental solutions (LMFS) for solving three-dimensional inhomogeneous elliptic boundary value problems. A direct Chebyshev collocation scheme (CCS) is employed for the approximation of the particular solutions of the given inhomogeneous problem. The Gauss-Lobatto collocation points are used in the CCS to ensure the pseudo-spectral convergence of the method. The resulting homogeneous equations are then calculated by using the LMFS. In the framework of the LMFS, the computational domain is divided into a set of overlapping local subdomains where the traditional MFS formulation and the moving least square method are applied. The proposed CCS-LMFS produces sparse and banded stiffness matrix which makes the method possible to perform large-scale simulations on a desktop computer. Numerical examples involving Poisson, Helmholtz as well as modified-Helmholtz equations (with up to 1,000,000 unknowns) are presented to illustrate the efficiency and accuracy of the proposed method.
机译:本文研究了基本解决方案(LMFS)局部方法来解决三维不均匀椭圆边值问题的应用。直接Chebyshev Concoccation方案(CCS)用于近似于给定的非均匀问题的特定解决方案。在CCS中使用高斯 - Lobatto搭配点,以确保该方法的伪光谱收敛。然后通过使用LMF来计算得到的均匀方程。在LMFS的框架中,计算域被划分为一组重叠的本地子域,其中应用了传统的MFS制定和移动最小二乘法。所提出的CCS-LMFS产生稀疏和带状刚度矩阵,这使得该方法可以在台式计算机上执行大规模模拟。提出了涉及Poisson,Helmholtz以及改进亥姆霍兹方程式的数值示例(最多1,000,000个未知数)以说明所提出的方法的效率和准确性。

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