{"title":"Convexification Numerical Method for a Coefficient Inverse Problem for the Radiative Transport Equation","authors":"M. Klibanov, Jingzhi Li, L. Nguyen, Zhipeng Yang","doi":"10.1137/22m1509837","DOIUrl":null,"url":null,"abstract":". An ( n + 1) − D coefficient inverse problem for the radiative stationary transport equation is considered for the first time. A globally conver- gent so-called convexification numerical method is developed and its convergence analysis is provided. The analysis is based on a Carleman estimate. In particular, convergence analysis implies a certain uniqueness theorem. Exten-sive numerical studies in the 2-D case are presented. Our are the source along an interval of a line and the data are only at a part of the boundary of the of is unlike the classical case of X-ray tomography when the runs all around and the are on the","PeriodicalId":185319,"journal":{"name":"SIAM J. Imaging Sci.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIAM J. Imaging Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1137/22m1509837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
. An ( n + 1) − D coefficient inverse problem for the radiative stationary transport equation is considered for the first time. A globally conver- gent so-called convexification numerical method is developed and its convergence analysis is provided. The analysis is based on a Carleman estimate. In particular, convergence analysis implies a certain uniqueness theorem. Exten-sive numerical studies in the 2-D case are presented. Our are the source along an interval of a line and the data are only at a part of the boundary of the of is unlike the classical case of X-ray tomography when the runs all around and the are on the