{"title":"正-倒向法在平面结构电容提取问题中的应用","authors":"C. Sae-Heng, D. Torrungrueng","doi":"10.1109/TENCON.2004.1414937","DOIUrl":null,"url":null,"abstract":"Capacitance extraction for three-dimensional (3-D) conductors located on planar structures has various applications, especially in the design and packaging of integrated circuits. One of the most commonly used methods for capacitance extraction problems is the method of moments (MM). In this study, the forward-backward (FB) method, which is an iterative MM, is applied for solving these problems effectively. It is found that the method is an O(N/sup 2/) algorithm per iteration, where N is the total number of unknowns. In addition, the FB method provides accurate results compared to those of the standard MM with less computational times for relatively large problems. Convergence characteristics of the FB method are also studied in this paper.","PeriodicalId":434986,"journal":{"name":"2004 IEEE Region 10 Conference TENCON 2004.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An application of the forward-backward (FB) method for capacitance extraction problems of planar structures\",\"authors\":\"C. Sae-Heng, D. Torrungrueng\",\"doi\":\"10.1109/TENCON.2004.1414937\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Capacitance extraction for three-dimensional (3-D) conductors located on planar structures has various applications, especially in the design and packaging of integrated circuits. One of the most commonly used methods for capacitance extraction problems is the method of moments (MM). In this study, the forward-backward (FB) method, which is an iterative MM, is applied for solving these problems effectively. It is found that the method is an O(N/sup 2/) algorithm per iteration, where N is the total number of unknowns. In addition, the FB method provides accurate results compared to those of the standard MM with less computational times for relatively large problems. Convergence characteristics of the FB method are also studied in this paper.\",\"PeriodicalId\":434986,\"journal\":{\"name\":\"2004 IEEE Region 10 Conference TENCON 2004.\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2004 IEEE Region 10 Conference TENCON 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TENCON.2004.1414937\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 IEEE Region 10 Conference TENCON 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.2004.1414937","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An application of the forward-backward (FB) method for capacitance extraction problems of planar structures
Capacitance extraction for three-dimensional (3-D) conductors located on planar structures has various applications, especially in the design and packaging of integrated circuits. One of the most commonly used methods for capacitance extraction problems is the method of moments (MM). In this study, the forward-backward (FB) method, which is an iterative MM, is applied for solving these problems effectively. It is found that the method is an O(N/sup 2/) algorithm per iteration, where N is the total number of unknowns. In addition, the FB method provides accurate results compared to those of the standard MM with less computational times for relatively large problems. Convergence characteristics of the FB method are also studied in this paper.