K. Tavzarashvili, A. Bijamov, R. Zaridze, G. Bit‐Babik
{"title":"The method of integrated auxiliary sources for 3D diffraction problem solution","authors":"K. Tavzarashvili, A. Bijamov, R. Zaridze, G. Bit‐Babik","doi":"10.1109/MMET.2000.890534","DOIUrl":null,"url":null,"abstract":"The application of the method of auxiliary sources (MAS) for solving different types of electromagnetics and particularly EMC related problems is presented. Improvements of the MAS using the different types of auxiliary sources (AS) are demonstrated in several examples. These investigations have shown that the proper choice of the location and type of AS significantly reduce the total number of unknowns in the solved problems, improve the accuracy and convergence of the solution and lead to a highly efficient and fast solution algorithm.","PeriodicalId":344401,"journal":{"name":"Conference Proceedings 2000 International Conference on Mathematical Methods in Electromagnetic Theory (Cat. No.00EX413)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceedings 2000 International Conference on Mathematical Methods in Electromagnetic Theory (Cat. No.00EX413)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMET.2000.890534","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The application of the method of auxiliary sources (MAS) for solving different types of electromagnetics and particularly EMC related problems is presented. Improvements of the MAS using the different types of auxiliary sources (AS) are demonstrated in several examples. These investigations have shown that the proper choice of the location and type of AS significantly reduce the total number of unknowns in the solved problems, improve the accuracy and convergence of the solution and lead to a highly efficient and fast solution algorithm.
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