麦克斯韦方程组矩量离散法的一种新的迭代求解方法

B. Carpentieri, Y. Jing, Tingzhu Huang, W. Pi, X. Sheng
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引用次数: 4

摘要

电磁散射问题的表面边界元离散化和表面/体积混合公式产生了大而密集的线性方程组,难以用迭代技术求解。重新启动广义最小残差(GMRES)方法在非厄米不定系统中几乎总是被使用。然而,它可能非常昂贵,特别是对于大规模的核外积分代码。我们提出了一种新的迭代方法的实验,这种迭代方法具有恒定、低内存和每次迭代的算法成本。对一些由实际雷达截面计算产生的矩阵问题的结果表明,新的算法族与目前用于求解线性系统的最流行的迭代技术具有惊人的竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel family of iterative solvers for method of moments discretizations of maxwell's equations
Boundary element discretizations of surface and hybrid surface/volume formulations of electromagnetic scattering problems generate large and dense systems of linear equations that are tough to solve by iterative techniques. The restarted generalized minimal residual (GMRES) method is virtually always used when the systems are non-Hermitian and indefinite. However, it may be prohibitively expensive especially for large scale out-of-core integral codes. We present experiments with a novel class of iterative methods that have constant, low memory and algorithmic cost per iteration. The results on some selected matrix problems arising from realistic radar-cross-section calculation indicate that the new family of algorithms is amazingly competitive with the most popular iterative techniques in use today for solving linear systems.
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