计算多边形障碍物诱导的远场模式的高效频率无关数值方法

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-07-17 DOI:10.1137/23m1612160
Andrew Gibbs, Stephen Langdon
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引用次数: 0

摘要

SIAM 科学计算期刊》,第 46 卷第 4 期,第 A2324-A2350 页,2024 年 8 月。 摘要。对于有理多边形障碍物的时谐散射问题,嵌入公式用一组相对较小(与频率无关)的典型入射角的远场模式来表达任何入射平面波引起的远场模式。虽然这些非凡的公式在理论上是精确的,但我们在此证明:(i) 它们在实践中对数值误差非常敏感;(ii) 对于特定的典型入射角集,即使是精确运算,也不可能直接计算出这些公式中的系数。只有克服这些实际问题,嵌入公式才能为计算大量入射角引起的远场模式提供高效方法。在此,我们将解决挑战 (i) 和 (ii),并通过数值实验来支持我们的理论。难题 (i) 利用计算复数分析技术得到了解决:我们将嵌入公式重新表述为复数等值线积分,并证明它对数值误差的敏感度要低得多。在实践中,这种等值线积分可以通过残差微积分进行有效评估。我们利用数值线性代数的技术解决了挑战 (ii):我们进行了超采样,考虑了比必要更多的典型入射角,从而扩大了有效系数向量集。然后可以使用最小二乘法或列子集选择法来选择系数向量。
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An Efficient Frequency-Independent Numerical Method for Computing the Far-Field Pattern Induced by Polygonal Obstacles
SIAM Journal on Scientific Computing, Volume 46, Issue 4, Page A2324-A2350, August 2024.
Abstract. For problems of time-harmonic scattering by rational polygonal obstacles, embedding formulae express the far-field pattern induced by any incident plane wave in terms of the far-field patterns for a relatively small (frequency-independent) set of canonical incident angles. Although these remarkable formulae are exact in theory, here we demonstrate that (i) they are highly sensitive to numerical errors in practice, and (ii) direct calculation of the coefficients in these formulae may be impossible for particular sets of canonical incident angles, even in exact arithmetic. Only by overcoming these practical issues can embedding formulae provide a highly efficient approach to computing the far-field pattern induced by a large number of incident angles. Here we address challenges (i) and (ii), supporting our theory with numerical experiments. Challenge (i) is solved using techniques from computational complex analysis: we reformulate the embedding formula as a complex contour integral and prove that this is much less sensitive to numerical errors. In practice, this contour integral can be efficiently evaluated by residue calculus. Challenge (ii) is addressed using techniques from numerical linear algebra: we oversample, considering more canonical incident angles than are necessary, thus expanding the set of valid coefficient vectors. The coefficient vector can then be selected using either a least squares approach or column subset selection.
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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