生物电磁学截断多重网格与预校正FFT/AIM: O(N)何时优于O(NlogN)?

Kai Yang, F. Wei, A. Yılmaz
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引用次数: 17

摘要

研究了基于多重网格和快速傅里叶变换(FFT)的方法在加速生物电磁学(BIOEM)分析中遇到的体积积分方程解的有效性。典型的BIOEM模拟是在混合频率范围内进行分析,因为模拟域中的场变化是由自由空间波长、几何特征和组织中的波长/皮肤深度的组合决定的。在这种情况下,基于多网格的方法(当在高频电平上适当截断时)可以实现O(N)复杂度,这种复杂度渐近优于基于fft的方法的O(NlogN)复杂度。然而,它们的渐近复杂度估计前的常数较大,并且它们的精度-效率权衡不同。数值实验对这些方法进行了比较,结果表明基于多网格的方法在N ~ 103时开始优于基于fft的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Truncated multigrid versus pre-corrected FFT/AIM for bioelectromagnetics: When is O(N) better than O(NlogN)?
The effectiveness of multigrid and fast Fourier transform (FFT) based methods are investigated for accelerating the solution of volume integral equations encountered in bioelectromagnetics (BIOEM) analysis. The typical BIOEM simulation is in the mixed-frequency regime of analysis because the field variations in the simulation domain are dictated by a combination of the free space wavelength, geometrical features, and the wavelengths/skin depths in tissues. In this case, multigrid-based methods (when appropriately truncated at high-frequency levels) can achieve O(N) complexity that is asymptotically superior to the O(NlogN) complexity of FFT-based ones. Nevertheless, the constant in front of their asymptotic complexity estimate is larger and their accuracy-efficiency tradeoffs are different. Numerical experiments are performed to compare these methods and the results show that multigrid-based methods begin to outperform FFT-based ones for N∼103.
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