基于FFT的光谱ewald方法作为快速多极方法的替代方法

A. Tornberg
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引用次数: 1

摘要

在本文中,我们回顾了一套快速和光谱准确的方法来快速评估三维静电和斯托克斯势。该算法使用所谓的Ewald分解,并且是基于fft的,这使得它们在三周期情况下自然是最有效的。两个关键思想允许这些频谱Ewald (SE)方法有效地扩展到只有一个或两个维度的周期性问题:一个自适应的3D FFT应用不同的局部上采样率,结合一个基于FFT解决自由空间谐波和双谐波问题的新方法。后一种方法也用于扩展到没有周期性的自由空间情况。对于Stokes流的非径向核,利用其傅里叶变换的结构,从径向调和核和双调和核扩展了其适用性。窗口函数与点电荷进行卷积以在FTT网格上赋值。光谱精度是通过在窗口函数的支持下使用可变数量的点来实现的,并根据这种选择调整形状参数。最近在非均匀FFT算法中引入了一个新的窗口函数,与之前在SE方法中使用的截断高斯函数相比,它可以进一步减少计算时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FFT BASED SPECTRAL EWALD METHODS AS AN ALTERNATIVE TO FAST MULTIPOLE METHODS
In this paper, we review a set of fast and spectrally accurate methods for rapid evaluation of three dimensional electrostatic and Stokes potentials. The algorithms use the so-called Ewald decomposition and are FFT-based, which makes them naturally most efficient for the triply periodic case. Two key ideas have allowed efficient extension of these Spectral Ewald (SE) methods to problems with periodicity in only one or two dimensions: an adaptive 3D FFT that apply different upsampling rates locally combined with a newmethod for FFT based solutions of free space harmonic and biharmonic problems. The latter approach is also used to extend to the free space case, with no periodicity. For the non-radial kernels of Stokes flow, the structure of their Fourier transform is exploited to extend the applicability from the radial harmonic and biharmonic kernels. Awindow function is convolvedwith the point charges to assign values on the FTT grid. Spectral accuracy is attained with a variable number of points in the support of the window function, tuning a shape parameter according to this choice. A new window function, recently introduced in the context of a non-uniform FFT algorithm, allows for further reduction in the computational time as compared to the truncated Gaussians previously used in the SE method.
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