One-Stage O(N log N) Algorithm for Generating Nested Rank-Minimized Representation of Electrically Large Volume Integral Equations

被引:0
作者
Wang, Yifan [1 ]
Jiao, Dan [1 ]
机构
[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
基金
美国国家科学基金会;
关键词
Accuracy; Approximation algorithms; Complexity theory; Clustering algorithms; Integral equations; Costs; Indexes; Training; Three-dimensional displays; Scattering; Volume integral equations; electrically large analysis; fast solvers; H-2; matrix compression; rank-minimized compression; nested representation; low-rank representation; APPROXIMATION; SCATTERING;
D O I
10.1109/JMMCT.2025.3544143
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we develop a new one-stage O(N log N) algorithm to generate a rank-minimized H-2-representation of electrically large volume integral equations (VIEs), which significantly reduces the CPU run time of state-ofthe-art algorithms for completing the same task. Unlike existing two-stage algorithms, this new algorithm requires only one stage to build nested cluster bases. The cluster basis is obtained directly from the interaction between a cluster and its admissible clusters composed of real or auxiliary ones that cover all interaction directions. Furthermore, the row and column pivots of the resultant low- rank representation are chosen from the source and observer points in an analytical way without the need for numerically finding them. This further speeds up the computation. Numerical experiments on a suite of electrically large 3D scattering problems have demonstrated the efficiency and accuracy of the proposed new algorithm.
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页码:169 / 178
页数:10
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