IDEAS home Printed from https://ideas.repec.org/a/spr/coopap/v51y2012i2p931-939.html
   My bibliography  Save this article

A note on the approximation of elliptic control problems with bang-bang controls

Author

Listed:
  • Klaus Deckelnick
  • Michael Hinze

Abstract

No abstract is available for this item.

Suggested Citation

  • Klaus Deckelnick & Michael Hinze, 2012. "A note on the approximation of elliptic control problems with bang-bang controls," Computational Optimization and Applications, Springer, vol. 51(2), pages 931-939, March.
    • Handle: RePEc:spr:coopap:v:51:y:2012:i:2:p:931-939
    DOI: 10.1007/s10589-010-9365-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10589-010-9365-z
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10589-010-9365-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alt, Walter & Schneider, Christopher & Seydenschwanz, Martin, 2016. "Regularization and implicit Euler discretization of linear-quadratic optimal control problems with bang-bang solutions," Applied Mathematics and Computation, Elsevier, vol. 287, pages 104-124.
    2. Walter Alt & Ursula Felgenhauer & Martin Seydenschwanz, 2018. "Euler discretization for a class of nonlinear optimal control problems with control appearing linearly," Computational Optimization and Applications, Springer, vol. 69(3), pages 825-856, April.
    3. Daniel Wachsmuth, 2015. "Robust error estimates for regularization and discretization of bang–bang control problems," Computational Optimization and Applications, Springer, vol. 62(1), pages 271-289, September.
    4. Christian Clason & Thi Bich Tram Do & Frank Pörner, 2018. "Error estimates for the approximation of multibang control problems," Computational Optimization and Applications, Springer, vol. 71(3), pages 857-878, December.
    5. Mariano Mateos, 2021. "Sparse Dirichlet optimal control problems," Computational Optimization and Applications, Springer, vol. 80(1), pages 271-300, September.
    6. Nikolaus Daniels, 2018. "Tikhonov regularization of control-constrained optimal control problems," Computational Optimization and Applications, Springer, vol. 70(1), pages 295-320, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:coopap:v:51:y:2012:i:2:p:931-939. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.