{"title":"A Posteriori $L_{\\infty}(H^{1})$ Error Bound in Finite Element Approximation of Semdiscrete Semilinear Parabolic Problems","authors":"Younis A. Sabawi","doi":"10.1109/CAS47993.2019.9075699","DOIUrl":null,"url":null,"abstract":"This work aims to construct a posteriori error bounds for semidiscrete semilinear parabolic problems in terms of $L$∞ (H1) norm. The curtail idea is to adapt the elliptic reconstruction technique introduced by Makridakis and Nochetto [8], this allows us to use error estimators derived for elliptic problems in order to obtain parabolic estimators that are of optimal order in space and time for non-Lipschitz nonlinearities, using relevant Sobolev Imbedding through continuation argument. These error bounds are subsequently used to reduce the computational of the scheme.","PeriodicalId":202291,"journal":{"name":"2019 First International Conference of Computer and Applied Sciences (CAS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 First International Conference of Computer and Applied Sciences (CAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAS47993.2019.9075699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This work aims to construct a posteriori error bounds for semidiscrete semilinear parabolic problems in terms of $L$∞ (H1) norm. The curtail idea is to adapt the elliptic reconstruction technique introduced by Makridakis and Nochetto [8], this allows us to use error estimators derived for elliptic problems in order to obtain parabolic estimators that are of optimal order in space and time for non-Lipschitz nonlinearities, using relevant Sobolev Imbedding through continuation argument. These error bounds are subsequently used to reduce the computational of the scheme.