A stabilizer-free weak Galerkin finite element method for an optimal control problem of a time fractional diffusion equation

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematics and Computers in Simulation Pub Date : 2024-12-05 DOI:10.1016/j.matcom.2024.11.019
Shuo Wang , Jie Ma , Ning Du
{"title":"A stabilizer-free weak Galerkin finite element method for an optimal control problem of a time fractional diffusion equation","authors":"Shuo Wang ,&nbsp;Jie Ma ,&nbsp;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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
时间分数扩散方程最优控制问题的无稳定器弱Galerkin有限元法
针对一类时间分数阶扩散方程驱动的最优控制问题,提出了一种完全离散无稳定器弱伽辽金(SFWG)有限元逼近。首先对SFWG有限元近似进行空间离散化,建立半离散格式,然后对Caputo分数阶导数进行L1离散化,得到全离散格式。然后,我们证明了离散格式的先验误差估计。为了降低计算复杂度,我们在状态系统和伴随状态系统上引入适当的正交分解(POD)技术,得到了一种完全离散的无降阶稳定器的弱伽辽金(ROSFWG)有限元方法。最后,通过数值实验验证了理论分析的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
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. Topics covered by the journal include mathematical tools in: •The foundations of systems modelling •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. The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
期刊最新文献
Editorial Board News of IMACS IMACS Calendar of Events Shifted Chebyshev collocation with CESTAC-CADNA-based instability detection for nonlinear Volterra–Hammerstein integral equations Approximation of generalized time fractional derivatives: Error analysis via scale and weight functions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1