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Fast Fourier transform on multipoles (FFTM) algorithm for Laplace equation with direct and indirect boundary element method

机译:直接和间接边界元方法的拉普拉斯方程多极快速傅立叶变换(FFTM)算法

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In this paper, the fast Fourier transform on multipole (FFTM) algorithm is used to accelerate the matrix-vector product in the boundary element method (BEM) for solving Laplace equation. This is implemented in both the direct and indirect formulations of the BEM. A new formulation for handling the double layer kernel using the direct formulation is presented, and this is shown to be related to the method given by Yoshida (Application of fast multipole method to boundary integral equation method, Kyoto University, Japan, 2001). The FFTM algorithm shows different computational performances in direct and indirect formulations. The direct formulation tends to take more computational time due to the evaluation of an extra integral. The error of FFTM in the direct formulation is smaller than that in the indirect formulation because the direct formulation has the advantage of avoiding the calculations of the free term and the strongly singular integral explicitly. The multipole and local translations introduce approximation errors, but these are not significant compared with the discretization error in the direct or indirect BEM formulation. Several numerical examples are presented to compare the computational efficiency of the FFTM algorithm used with the direct and indirect BEM formulations.
机译:本文采用边界元法(BEM)中的快速傅立叶多极变换(FFTM)算法来加速矩阵矢量积,以求解拉普拉斯方程。 BEM的直接和间接形式都可以实现这一点。提出了一种使用直接公式处理双层核的新公式,该公式与吉田所提出的方法有关(快速多极子方法在边界积分方程法中的应用,日本京都大学,2001年)。 FFTM算法在直接和间接公式中显示出不同的计算性能。由于对额外积分的评估,直接公式化往往会花费更多的计算时间。直接公式中的FFTM误差小于间接公式中的FFTM,因为直接公式具有避免明确计算自由项和强奇异积分的优点。多极平移和局部平移会引入近似误差,但与直接或间接BEM公式中的离散误差相比,这些误差并不明显。给出了几个数值示例,以比较直接和间接BEM公式所使用的FFTM算法的计算效率。

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