{"title":"椭圆系统单Cauchy数据的Robin系数提取","authors":"A. El Madkouri, A. Ellabib","doi":"10.23939/mmc2022.03.663","DOIUrl":null,"url":null,"abstract":"The purpose of this work is to identify a Robin coefficient from available measurements on the accessible part of the boundary. After recasting the inverse problem as an optimization problem, we study the issue of identifiability, stability, and identification. For the reconstruction process, two regularized algorithms are designed, and the forward problem is approximated using the discontinuous dual reciprocity method. The accuracy of the proposed approaches is tested in the case of noise–free and noisy data and the findings are very promising and encouraging.","PeriodicalId":37156,"journal":{"name":"Mathematical Modeling and Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Retrieving the Robin coefficient from single Cauchy data in elliptic systems\",\"authors\":\"A. El Madkouri, A. Ellabib\",\"doi\":\"10.23939/mmc2022.03.663\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this work is to identify a Robin coefficient from available measurements on the accessible part of the boundary. After recasting the inverse problem as an optimization problem, we study the issue of identifiability, stability, and identification. For the reconstruction process, two regularized algorithms are designed, and the forward problem is approximated using the discontinuous dual reciprocity method. The accuracy of the proposed approaches is tested in the case of noise–free and noisy data and the findings are very promising and encouraging.\",\"PeriodicalId\":37156,\"journal\":{\"name\":\"Mathematical Modeling and Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematical Modeling and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23939/mmc2022.03.663\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Modeling and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23939/mmc2022.03.663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
Retrieving the Robin coefficient from single Cauchy data in elliptic systems
The purpose of this work is to identify a Robin coefficient from available measurements on the accessible part of the boundary. After recasting the inverse problem as an optimization problem, we study the issue of identifiability, stability, and identification. For the reconstruction process, two regularized algorithms are designed, and the forward problem is approximated using the discontinuous dual reciprocity method. The accuracy of the proposed approaches is tested in the case of noise–free and noisy data and the findings are very promising and encouraging.