{"title":"Fast BEM for Eddy-Current Problems Using H-matrices and ACA","authors":"J. Smajic, Z. Andjelic, M. Bebendorf","doi":"10.1109/CEFC-06.2006.1633048","DOIUrl":null,"url":null,"abstract":"The paper presents numerical experiments in applying a new technique for matrix compression and preconditioning in BEM-based eddy-current analysis. Following these procedures, the classical problems of BEM approaches for eddy-currents analysis in industrial applications, such as large memory requirements and solver instability (ill-conditioning), are significantly reduced. The algorithm, based on the hierarchical matrix arithmetic and adaptive cross approximation techniques, efficiently compresses the BEM matrix and produces a very important additional feature - a cheap and effective matrix preconditioner. The efficiency of this new technique is tested on various numerical examples and compared with other similar existing techniques (fast multipoles method)","PeriodicalId":262549,"journal":{"name":"2006 12th Biennial IEEE Conference on Electromagnetic Field Computation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 12th Biennial IEEE Conference on Electromagnetic Field Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEFC-06.2006.1633048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paper presents numerical experiments in applying a new technique for matrix compression and preconditioning in BEM-based eddy-current analysis. Following these procedures, the classical problems of BEM approaches for eddy-currents analysis in industrial applications, such as large memory requirements and solver instability (ill-conditioning), are significantly reduced. The algorithm, based on the hierarchical matrix arithmetic and adaptive cross approximation techniques, efficiently compresses the BEM matrix and produces a very important additional feature - a cheap and effective matrix preconditioner. The efficiency of this new technique is tested on various numerical examples and compared with other similar existing techniques (fast multipoles method)