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FFT BASED SPECTRAL EWALD METHODS AS AN ALTERNATIVE TO FAST MULTIPOLE METHODS

机译:基于FFT基光谱eWALD方法作为快速多极方法的替代方案

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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 new method 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. A window function is convolved with 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.
机译:在本文中,我们审查了一套快速和光谱准确的方法,用于快速评估三维静电和斯托克斯电位。该算法使用所谓的ewald分解,并且是基于FFT的分解,这使得它们对三个周期性情况自然最有效。两个关键思想使这些光谱eWALD(SE)方法的高效扩展只有一个或两个维度的周期性:自适应3D FFT,其应用于本地与基于FFT空间谐波解决方案的新方法的不同上采样率。比哈迈尔态问题。后一种方法也用于延伸到可用空间,没有周期性。对于斯托克斯流的非径向核,利用其傅立叶变换的结构来扩展来自径向谐波和比谐核的适用性。窗口函数与点电荷卷积,以在FTT网格上分配值。通过窗口函数的支持下的可变点获得频谱精度,根据此选择调整形状参数。最近在非统一FFT算法的上下文中引入的新窗口功能允许与先前在SE方法中使用的截短的高斯人相比进一步减小计算时间。

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