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

机译:三维非均匀椭圆问题基本解的局部方法:理论和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:本文研究了基本解局域法(LMFS)在求解三维非均匀椭圆边界值问题中的应用.采用直接切比雪夫并置方案(CCS)来逼近给定非齐次问题的特定解。CCS采用Gauss-Lobatto搭配点来保证该方法的伪谱收敛性。然后使用 LMFS 计算得到的齐次方程。在 LMFS 的框架中,计算域被划分为一组重叠的局部子域,其中应用了传统的 MFS 公式和移动最小二乘法。所提出的CCS-LMFS产生了稀疏和带状刚度矩阵,这使得该方法可以在台式计算机上进行大规模模拟。通过涉及泊松方程、亥姆霍兹方程和修正亥姆霍兹方程(多达1,000,000个未知数)的数值算例,说明了所提方法的效率和准确性。

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