{"title":"计算电磁学中DGTD算法与FVTD算法的比较研究","authors":"Cong Deng, Wen-lu Yin, S. Chai, J. Mao","doi":"10.1109/CSO.2010.222","DOIUrl":null,"url":null,"abstract":"By calculating some typical electromagnetic problems, the performances of the FVTD algorithm and the DGTD algorithm for computational electromagnetics are compared systematically, including the choice of the time step, the numerical accuracy, the CPU time and the memory requirement. The FVTD algorithm is more efficient for electrically small structure and is more accuracy for the structure with curved surface, but is not suitable for large scale electromagnetic phenomenon simulating. The DGTD is more resource consuming, but it is more accurate and has the potential ability to handle electrically large structure.","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Comparative Study of the DGTD Algorithm and the FVTD Algorithm in Computational Electromagnetics\",\"authors\":\"Cong Deng, Wen-lu Yin, S. Chai, J. Mao\",\"doi\":\"10.1109/CSO.2010.222\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By calculating some typical electromagnetic problems, the performances of the FVTD algorithm and the DGTD algorithm for computational electromagnetics are compared systematically, including the choice of the time step, the numerical accuracy, the CPU time and the memory requirement. The FVTD algorithm is more efficient for electrically small structure and is more accuracy for the structure with curved surface, but is not suitable for large scale electromagnetic phenomenon simulating. The DGTD is more resource consuming, but it is more accurate and has the potential ability to handle electrically large structure.\",\"PeriodicalId\":427481,\"journal\":{\"name\":\"2010 Third International Joint Conference on Computational Science and Optimization\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Third International Joint Conference on Computational Science and Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSO.2010.222\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Joint Conference on Computational Science and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2010.222","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Comparative Study of the DGTD Algorithm and the FVTD Algorithm in Computational Electromagnetics
By calculating some typical electromagnetic problems, the performances of the FVTD algorithm and the DGTD algorithm for computational electromagnetics are compared systematically, including the choice of the time step, the numerical accuracy, the CPU time and the memory requirement. The FVTD algorithm is more efficient for electrically small structure and is more accuracy for the structure with curved surface, but is not suitable for large scale electromagnetic phenomenon simulating. The DGTD is more resource consuming, but it is more accurate and has the potential ability to handle electrically large structure.