{"title":"A Broadband Preconditioner Based on Sparsified Nested Dissection Ordering Technique for the Vector-Scalar Potential Discrete Exterior Calculus Solver","authors":"Boyuan Zhang;Weng Cho Chew","doi":"10.1109/JMMCT.2025.3563480","DOIUrl":null,"url":null,"abstract":"The discrete exterior calculus (DEC) <inline-formula><tex-math>$\\mathbf {A}$</tex-math></inline-formula>-<inline-formula><tex-math>$\\Phi$</tex-math></inline-formula> 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 <inline-formula><tex-math>$\\mathbf {A}$</tex-math></inline-formula>-<inline-formula><tex-math>$\\Phi$</tex-math></inline-formula> 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 <inline-formula><tex-math>$\\mathbf {A}$</tex-math></inline-formula>-<inline-formula><tex-math>$\\Phi$</tex-math></inline-formula> 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 <inline-formula><tex-math>$O(N \\log N)$</tex-math></inline-formula> 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.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"235-245"},"PeriodicalIF":1.5000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10989742/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
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.