{"title":"自动鉴别及其在精馏塔优化中的应用研究","authors":"Zheng Xiaoqing, Shao Zhijiang","doi":"10.1109/WCICA.2006.1712671","DOIUrl":null,"url":null,"abstract":"Automatic differentiation is the approach of differentiation without truncation error introduced. In this paper, two ways of automatic differentiation based on source transformation and operator overloading are investigated and applied to the optimization of distillation column. After comparing with the traditional finite difference method, the result proves the automatic differentiation approach based on source transformation the highest efficient in the optimization","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Automatic Differentiation and the Application to Distillation Column Optimization\",\"authors\":\"Zheng Xiaoqing, Shao Zhijiang\",\"doi\":\"10.1109/WCICA.2006.1712671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automatic differentiation is the approach of differentiation without truncation error introduced. In this paper, two ways of automatic differentiation based on source transformation and operator overloading are investigated and applied to the optimization of distillation column. After comparing with the traditional finite difference method, the result proves the automatic differentiation approach based on source transformation the highest efficient in the optimization\",\"PeriodicalId\":375135,\"journal\":{\"name\":\"2006 6th World Congress on Intelligent Control and Automation\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 6th World Congress on Intelligent Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCICA.2006.1712671\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 6th World Congress on Intelligent Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2006.1712671","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Automatic Differentiation and the Application to Distillation Column Optimization
Automatic differentiation is the approach of differentiation without truncation error introduced. In this paper, two ways of automatic differentiation based on source transformation and operator overloading are investigated and applied to the optimization of distillation column. After comparing with the traditional finite difference method, the result proves the automatic differentiation approach based on source transformation the highest efficient in the optimization