基于稀疏嵌套解剖排序技术的矢量-标量势离散外微积分求解器宽带预条件

IF 1.5 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Boyuan Zhang;Weng Cho Chew
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引用次数: 0

摘要

离散外演算(DEC) $\mathbf {A}$ - $\Phi$求解器是计算电磁学中的一种宽带稳定求解器,可以从直流到光学工作。为了解决多尺度、多未知数和条件数的实际问题,本文提出了DEC求解器$\mathbf {A}$ - $\Phi$的宽带预调节器。提出的预条件是基于稀疏嵌套解剖排序(spa-NDO)技术。本文介绍了DEC $\mathbf {A}$ - $\Phi$求解器和NDO技术,并详细介绍了所提出的改进spa-NDO预调节器的实现流程。数值算例表明,该预条件求解器的计算复杂度为$O(N \log N)$。所提出的预调节器的效率几乎与问题中的频率和电导率等参数无关,这表明它具有宽带性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Broadband Preconditioner Based on Sparsified Nested Dissection Ordering Technique for the Vector-Scalar Potential Discrete Exterior Calculus Solver
The discrete exterior calculus (DEC) $\mathbf {A}$-$\Phi$ solver is a broadband stable solver in computational electromagnetics which can work from DC to optics. In order to solve practical problems, which are often multi-scale ones with large number of unknowns and condition number, a broadband preconditioner to the DEC $\mathbf {A}$-$\Phi$ solver is proposed in this paper. The proposed preconditioner is based on sparsified nested dissection ordering (spa-NDO) technique. In this paper, introductions to the DEC $\mathbf {A}$-$\Phi$ solver and NDO technique are provided, as well as detailed implementation flow of the proposed modified spa-NDO preconditioner. Through numerical examples, it reveals that the proposed preconditioned solver has $O(N \log N)$ computational complexity. The efficiency of the proposed preconditioner is almost independent of parameters such as frequency and conductivity in the problem, which indicates its broadband nature.
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来源期刊
CiteScore
4.30
自引率
0.00%
发文量
27
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