{"title":"优化的高阶时域有限差分(2,4)方法","authors":"Min Zhu, Lei Zhao, Q. Cao","doi":"10.1109/COMPEM.2015.7052649","DOIUrl":null,"url":null,"abstract":"In order to reduce the dispersion of the conventional HO-FDTD (2, 4) method, the axes-optimized method has been provided. This paper mainly discusses the optimization of the weight parameters based on the numerical dispersion equation. The numerical examples have been given to demonstrate the optimized HO-FDTD (2, 4) method. It has been found that the dispersion error can be eliminated in the axial direction and the optimized method has better dispersion error.","PeriodicalId":6530,"journal":{"name":"2015 IEEE International Conference on Computational Electromagnetics","volume":"16 1","pages":"324-326"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimized high-order finite-difference time-domain (2, 4) method\",\"authors\":\"Min Zhu, Lei Zhao, Q. Cao\",\"doi\":\"10.1109/COMPEM.2015.7052649\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to reduce the dispersion of the conventional HO-FDTD (2, 4) method, the axes-optimized method has been provided. This paper mainly discusses the optimization of the weight parameters based on the numerical dispersion equation. The numerical examples have been given to demonstrate the optimized HO-FDTD (2, 4) method. It has been found that the dispersion error can be eliminated in the axial direction and the optimized method has better dispersion error.\",\"PeriodicalId\":6530,\"journal\":{\"name\":\"2015 IEEE International Conference on Computational Electromagnetics\",\"volume\":\"16 1\",\"pages\":\"324-326\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Computational Electromagnetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPEM.2015.7052649\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Computational Electromagnetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPEM.2015.7052649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In order to reduce the dispersion of the conventional HO-FDTD (2, 4) method, the axes-optimized method has been provided. This paper mainly discusses the optimization of the weight parameters based on the numerical dispersion equation. The numerical examples have been given to demonstrate the optimized HO-FDTD (2, 4) method. It has been found that the dispersion error can be eliminated in the axial direction and the optimized method has better dispersion error.
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