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New upper bounds to determine the sampling rate in 2-D MLMFA

机译:确定二维MLMFA中采样率的新上限

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The error controllability of fast algorithms, such as the fast multipole method (FMM) and the multilevel fast multipole algorithm (MLFMA), is an important issue. On the one hand, it is crucial that the error sources can be clearly identified. On the other hand, heuristics need to be implemented that allow an easy automatic error setting of the fast algorithms. An error analysis has already been conducted for 2D MLFMAs in lossless homogeneous background media. Here, however, the focus is on MLMFAs for very lossy background media, and more specifically, on the (quasi-)bandlimitedness of the 2D radiation patterns. We rigorously derive upper bounds expressing the required number of samples in the plane wave decomposition as a function of a preset accuracy. On the one hand, these formulas can immediately be used in 2D homogeneous (lossy) media MLFMAs to estimate the required number of samples by means of heuristic approaches, using these upper bounds as a starting point. On the other hand, these upper bounds can be used in MLMFAs that are based on the decomposition of 3D Green functions into sets of cylindrical modes, each mode corresponding to a 2D Green function. Especially in the PML-MLMFA, some of these cylindrical modes' wavenumbers have large negative imaginary parts, and hence, correspond to very lossy 2D homogeneous space problems.
机译:快速算法,例如快速多极方法(FMM)和多级快速多极算法(MLFMA),其错误可控性是一个重要的问题。一方面,至关重要的是要清楚地识别错误源。另一方面,需要实现允许快速算法的简单自动错误设置的试探法。已经在无损均匀背景介质中对二维MLFMA进行了错误分析。但是,这里的重点是非常有损背景媒体的MLMFA,尤其是2D辐射方向图的(准)带宽限制。我们严格推导出上限,该上限表示平面波分解中所需样本的数量,作为预设精度的函数。一方面,这些公式可立即用于2D均质(有损)介质MLFMA中,以这些上限为起点,通过启发式方法估算所需的样本数。另一方面,这些上限可用于基于3D Green函数分解为圆柱模式集的MLMFA,每个模式对应于2D Green函数。特别是在PML-MLMFA中,某些圆柱模的波数具有较大的负虚部,因此对应于非常有损的2D均匀空间问题。

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