Tao Wang , Yanping Chen , Xiangquan Li , Fangfang Qin
{"title":"非凸域上扩散和次扩散问题的XFEM","authors":"Tao Wang , Yanping Chen , Xiangquan Li , Fangfang Qin","doi":"10.1016/j.camwa.2025.08.027","DOIUrl":null,"url":null,"abstract":"<div><div>This paper proposes a space-time finite element method for solving diffusion and sub-diffusion problems in a non-convex domain. This method employs the discontinuous Galerkin (DG) method for temporal discretization and the eXtended Finite Element Method (XFEM) for spatial discretization, which offers higher accuracy than the standard linear finite element method. Sharp error estimates are derived for diffusion and sub-diffusion problems with smooth and non-smooth initial data in a unified approach. Finally, two numerical examples are provided to verify the theoretical results.</div></div>","PeriodicalId":55218,"journal":{"name":"Computers & Mathematics with Applications","volume":"196 ","pages":"Pages 415-432"},"PeriodicalIF":2.5000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"XFEM for the diffusion and sub-diffusion problems in a non-convex domain\",\"authors\":\"Tao Wang , Yanping Chen , Xiangquan Li , Fangfang Qin\",\"doi\":\"10.1016/j.camwa.2025.08.027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper proposes a space-time finite element method for solving diffusion and sub-diffusion problems in a non-convex domain. This method employs the discontinuous Galerkin (DG) method for temporal discretization and the eXtended Finite Element Method (XFEM) for spatial discretization, which offers higher accuracy than the standard linear finite element method. Sharp error estimates are derived for diffusion and sub-diffusion problems with smooth and non-smooth initial data in a unified approach. Finally, two numerical examples are provided to verify the theoretical results.</div></div>\",\"PeriodicalId\":55218,\"journal\":{\"name\":\"Computers & Mathematics with Applications\",\"volume\":\"196 \",\"pages\":\"Pages 415-432\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Mathematics with Applications\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0898122125003608\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Mathematics with Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0898122125003608","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
XFEM for the diffusion and sub-diffusion problems in a non-convex domain
This paper proposes a space-time finite element method for solving diffusion and sub-diffusion problems in a non-convex domain. This method employs the discontinuous Galerkin (DG) method for temporal discretization and the eXtended Finite Element Method (XFEM) for spatial discretization, which offers higher accuracy than the standard linear finite element method. Sharp error estimates are derived for diffusion and sub-diffusion problems with smooth and non-smooth initial data in a unified approach. Finally, two numerical examples are provided to verify the theoretical results.
期刊介绍:
Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).