{"title":"二阶伴随灵敏度:另一种表述","authors":"M. Bakr, A. Elsherbeni, V. Demir","doi":"10.1109/CCECE.2017.7946611","DOIUrl":null,"url":null,"abstract":"We present in this work an approach for second-order adjoint sensitivity analysis. Using this approach both the first- and second-order sensitivities of the desired objective function or response are estimated using n extra simulation, where n is the number of parameters. Our approach is simpler than previously developed adjoint approaches as it utilizes Maxwell's equations and not the wave equation. Our approach is illustrated through an example.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Second-order adjoint sensitivities: An alternative formulation\",\"authors\":\"M. Bakr, A. Elsherbeni, V. Demir\",\"doi\":\"10.1109/CCECE.2017.7946611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present in this work an approach for second-order adjoint sensitivity analysis. Using this approach both the first- and second-order sensitivities of the desired objective function or response are estimated using n extra simulation, where n is the number of parameters. Our approach is simpler than previously developed adjoint approaches as it utilizes Maxwell's equations and not the wave equation. Our approach is illustrated through an example.\",\"PeriodicalId\":238720,\"journal\":{\"name\":\"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCECE.2017.7946611\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.2017.7946611","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Second-order adjoint sensitivities: An alternative formulation
We present in this work an approach for second-order adjoint sensitivity analysis. Using this approach both the first- and second-order sensitivities of the desired objective function or response are estimated using n extra simulation, where n is the number of parameters. Our approach is simpler than previously developed adjoint approaches as it utilizes Maxwell's equations and not the wave equation. Our approach is illustrated through an example.