{"title":"基于区域分解法的PEC平移体积分方程","authors":"Jiang Ming, Jun Hu, R. Zhao, Z. Nie","doi":"10.1109/CSQRWC.2012.6294969","DOIUrl":null,"url":null,"abstract":"In this paper, a hybrid scheme named IE-DDMMLFMA with forward-backward method is proposed to calculate the scattering from the perfect electric conductor body of translation. The computational body of translation can be partitioned into concentric non-overlapping subdomains. Each of integral equation systems are solved separately, thus reducing the complexity of the original problem. Moreover, by applying two sets of MLFMA grids, a more efficient matrix-vector multiplication is implemented because of the translation invariant feature of each subdomain. The main advantage offered by this technique is a reduction in memory requirements. For the solution of the resulting linear systems we describe appropriate iterative solution strategies using generalized forward-backward method. At the same time, the iterative procedure for each subdomain is accelerated by block-diagonal pre-conditioner and OpenMP techniques. Various numerical examples are presented that illustrate its potential.","PeriodicalId":250360,"journal":{"name":"CSQRWC 2012","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integral equation based on domain decomposition method for PEC body of translation\",\"authors\":\"Jiang Ming, Jun Hu, R. Zhao, Z. Nie\",\"doi\":\"10.1109/CSQRWC.2012.6294969\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a hybrid scheme named IE-DDMMLFMA with forward-backward method is proposed to calculate the scattering from the perfect electric conductor body of translation. The computational body of translation can be partitioned into concentric non-overlapping subdomains. Each of integral equation systems are solved separately, thus reducing the complexity of the original problem. Moreover, by applying two sets of MLFMA grids, a more efficient matrix-vector multiplication is implemented because of the translation invariant feature of each subdomain. The main advantage offered by this technique is a reduction in memory requirements. For the solution of the resulting linear systems we describe appropriate iterative solution strategies using generalized forward-backward method. At the same time, the iterative procedure for each subdomain is accelerated by block-diagonal pre-conditioner and OpenMP techniques. Various numerical examples are presented that illustrate its potential.\",\"PeriodicalId\":250360,\"journal\":{\"name\":\"CSQRWC 2012\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CSQRWC 2012\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSQRWC.2012.6294969\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CSQRWC 2012","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSQRWC.2012.6294969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integral equation based on domain decomposition method for PEC body of translation
In this paper, a hybrid scheme named IE-DDMMLFMA with forward-backward method is proposed to calculate the scattering from the perfect electric conductor body of translation. The computational body of translation can be partitioned into concentric non-overlapping subdomains. Each of integral equation systems are solved separately, thus reducing the complexity of the original problem. Moreover, by applying two sets of MLFMA grids, a more efficient matrix-vector multiplication is implemented because of the translation invariant feature of each subdomain. The main advantage offered by this technique is a reduction in memory requirements. For the solution of the resulting linear systems we describe appropriate iterative solution strategies using generalized forward-backward method. At the same time, the iterative procedure for each subdomain is accelerated by block-diagonal pre-conditioner and OpenMP techniques. Various numerical examples are presented that illustrate its potential.