Sibirskii Zhurnal Vychislitel'noi Matematiki
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Sib. Zh. Vychisl. Mat.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Sibirskii Zhurnal Vychislitel'noi Matematiki, 2018, Volume 21, Number 3, Pages 333–343
DOI: https://doi.org/10.15372/SJNM20180307
(Mi sjvm687)
 

This article is cited in 1 scientific paper (total in 1 paper)

Mixed methods for optimal control problems

T. Hou

School of Mathematics and Statistics, Beihua University, Jilin 132013, China
Full-text PDF (503 kB) Citations (1)
References:
Abstract: In this paper, we investigate a posteriori error estimates of a mixed finite element method for elliptic optimal control problems with an integral constraint. The gradient for our method belongs to the square integrable space instead of the classical $H(\mathrm{div};\Omega)$ space. The state and co-state are approximated by the $P^2_0$-$P_1$ (velocity-pressure) pair, and the control variable is approximated by piecewise constant functions. Using a duality argument method and an energy method, we derive residual a posteriori error estimates for all variables.
Key words: elliptic equations, optimal control problems, a posteriori error estimates, a mixed finite element method.
Funding agency Grant number
National Natural Science Foundation of China 11601014
11626037
11526036
China Postdoctoral Science Foundation 2016M601359
Scientific and Technological Developing Scheme of Jilin Province 20160520108JH
Scientific and Technological Developing Scheme of Jilin Province 20170101037JC
Education Department of Jilin Province 201646
Special Funding for Promotion of Young Teachers of Beihua University
This work was supported by National Natural Science Foundation of China (project nos. 11601014, 11626037, and 11526036), China Postdoctoral Science Foundation (project no. 2016M601359), Scientific and Technological Developing Scheme of Jilin Province (project nos. 20160520108JH and 20170101037JC), Science and Technology Research Project of Jilin Provincial Department of Education (project no. 201646), and Special Funding for Promotion of Young Teachers of Beihua University.
Received: 13.09.2017
Revised: 31.01.2018
English version:
Numerical Analysis and Applications, 2018, Volume 11, Issue 3, Pages 268–277
DOI: https://doi.org/10.1134/S1995423918030072
Bibliographic databases:
Document Type: Article
MSC: 49J20, 65N30
Language: Russian
Citation: T. Hou, “Mixed methods for optimal control problems”, Sib. Zh. Vychisl. Mat., 21:3 (2018), 333–343; Num. Anal. Appl., 11:3 (2018), 268–277
Citation in format AMSBIB
\Bibitem{Hou18}
\by T.~Hou
\paper Mixed methods for optimal control problems
\jour Sib. Zh. Vychisl. Mat.
\yr 2018
\vol 21
\issue 3
\pages 333--343
\mathnet{http://mi.mathnet.ru/sjvm687}
\crossref{https://doi.org/10.15372/SJNM20180307}
\elib{https://elibrary.ru/item.asp?id=35421591}
\transl
\jour Num. Anal. Appl.
\yr 2018
\vol 11
\issue 3
\pages 268--277
\crossref{https://doi.org/10.1134/S1995423918030072}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000443024400007}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85052370858}
Linking options:
  • https://www.mathnet.ru/eng/sjvm687
  • https://www.mathnet.ru/eng/sjvm/v21/i3/p333
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Sibirskii Zhurnal Vychislitel'noi Matematiki
    Statistics & downloads:
    Abstract page:124
    Full-text PDF :10
    References:17
    First page:4
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024