{"title":"Stabilization and adaptive FEM for optimal control problems of stationary convection-dominated diffusion equations on surfaces","authors":"Qiuhui Yan, Xufeng Xiao, Xinlong Feng","doi":"10.1016/j.apnum.2025.04.009","DOIUrl":null,"url":null,"abstract":"<div><div>This paper explores the optimal control problem for the stationary convection-dominated diffusion equation on surfaces, employing stabilization and adaptive finite element methods as numerical approaches. We propose an optimal system on surfaces, demonstrate the existence and uniqueness of the solution, and analyze the relevant finite element theory. To mitigate oscillation phenomena, we adopt the streamline diffusion stabilization method. To enhance computational efficiency and achieve high-resolution numerical solutions with fewer degrees of freedom, we integrate the streamline diffusion method with adaptive mesh refinement. Finally, numerical experiments confirm the advantages of our approach.</div></div>","PeriodicalId":8199,"journal":{"name":"Applied Numerical Mathematics","volume":"215 ","pages":"Pages 157-176"},"PeriodicalIF":2.4000,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Numerical Mathematics","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168927425000960","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This paper explores the optimal control problem for the stationary convection-dominated diffusion equation on surfaces, employing stabilization and adaptive finite element methods as numerical approaches. We propose an optimal system on surfaces, demonstrate the existence and uniqueness of the solution, and analyze the relevant finite element theory. To mitigate oscillation phenomena, we adopt the streamline diffusion stabilization method. To enhance computational efficiency and achieve high-resolution numerical solutions with fewer degrees of freedom, we integrate the streamline diffusion method with adaptive mesh refinement. Finally, numerical experiments confirm the advantages of our approach.
期刊介绍:
The purpose of the journal is to provide a forum for the publication of high quality research and tutorial papers in computational mathematics. In addition to the traditional issues and problems in numerical analysis, the journal also publishes papers describing relevant applications in such fields as physics, fluid dynamics, engineering and other branches of applied science with a computational mathematics component. The journal strives to be flexible in the type of papers it publishes and their format. Equally desirable are:
(i) Full papers, which should be complete and relatively self-contained original contributions with an introduction that can be understood by the broad computational mathematics community. Both rigorous and heuristic styles are acceptable. Of particular interest are papers about new areas of research, in which other than strictly mathematical arguments may be important in establishing a basis for further developments.
(ii) Tutorial review papers, covering some of the important issues in Numerical Mathematics, Scientific Computing and their Applications. The journal will occasionally publish contributions which are larger than the usual format for regular papers.
(iii) Short notes, which present specific new results and techniques in a brief communication.