{"title":"概率特征值分析计算误差的研究","authors":"Zhang Jianfen, C. Tse, Wang Kewen, C. Y. Chung","doi":"10.1109/DRPT.2004.1338079","DOIUrl":null,"url":null,"abstract":"Several models for probabilistic eigenvalue analysis are comparatively studied in computational precision in this paper. The focus is on the computational errors of eigenvalue expectation and variance, as well as the high cumulants. Based on particular testing systems, the study provides a useful error comparison for further application.","PeriodicalId":427228,"journal":{"name":"2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Studies of the computational error in the probabilistic eigenvalue analysis\",\"authors\":\"Zhang Jianfen, C. Tse, Wang Kewen, C. Y. Chung\",\"doi\":\"10.1109/DRPT.2004.1338079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several models for probabilistic eigenvalue analysis are comparatively studied in computational precision in this paper. The focus is on the computational errors of eigenvalue expectation and variance, as well as the high cumulants. Based on particular testing systems, the study provides a useful error comparison for further application.\",\"PeriodicalId\":427228,\"journal\":{\"name\":\"2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DRPT.2004.1338079\",\"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 International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DRPT.2004.1338079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Studies of the computational error in the probabilistic eigenvalue analysis
Several models for probabilistic eigenvalue analysis are comparatively studied in computational precision in this paper. The focus is on the computational errors of eigenvalue expectation and variance, as well as the high cumulants. Based on particular testing systems, the study provides a useful error comparison for further application.