{"title":"A stabilizer-free weak Galerkin finite element method for an optimal control problem of a time fractional diffusion equation","authors":"Shuo Wang , Jie Ma , Ning Du","doi":"10.1016/j.matcom.2024.11.019","DOIUrl":null,"url":null,"abstract":"<div><div>This paper proposes a fully discrete stabilizer-free weak Galerkin (SFWG) finite element approximation for an optimal control problem driven by a time fractional diffusion equation.<!--> <!-->We focus on the spatial discretization of the SFWG finite element approximation to establish a semi-discrete scheme,<!--> <!-->followed by the application of L1 discretization to the Caputo fractional derivative in time to derive a fully discrete scheme.<!--> <!-->We then prove a priori error estimate for the discrete schemes.<!--> <!-->To reduce the computational complexity,<!--> <!-->we incorporate the proper orthogonal decomposition (POD) technique on the state and adjoint state systems to obtain a fully discrete reduced-order stabilizer-free weak Galerkin (ROSFWG) finite element method.<!--> <!-->Finally,<!--> <!-->the validity of the theoretical analysis is confirmed through numerical experiments.</div></div>","PeriodicalId":49856,"journal":{"name":"Mathematics and Computers in Simulation","volume":"231 ","pages":"Pages 99-118"},"PeriodicalIF":4.4000,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematics and Computers in Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378475424004683","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a fully discrete stabilizer-free weak Galerkin (SFWG) finite element approximation for an optimal control problem driven by a time fractional diffusion equation. We focus on the spatial discretization of the SFWG finite element approximation to establish a semi-discrete scheme, followed by the application of L1 discretization to the Caputo fractional derivative in time to derive a fully discrete scheme. We then prove a priori error estimate for the discrete schemes. To reduce the computational complexity, we incorporate the proper orthogonal decomposition (POD) technique on the state and adjoint state systems to obtain a fully discrete reduced-order stabilizer-free weak Galerkin (ROSFWG) finite element method. Finally, the validity of the theoretical analysis is confirmed through numerical experiments.
期刊介绍:
The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles.
Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO.
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•Numerical analysis and the development of algorithms for simulation
They also include considerations about computer hardware for simulation and about special software and compilers.
The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research.
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