IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i7p1679-d1112940.html
   My bibliography  Save this article

Minimization of the Compliance under a Nonlocal p -Laplacian Constraint

Author

Listed:
  • Fuensanta Andrés

    (Departamento de Matemáticas, Universidad de Castilla-La Mancha, Avda. Carlos III s/n, 45071 Toledo, Spain)

  • Damián Castaño

    (Departamento de Matemáticas, Universidad de Castilla-La Mancha, Avda. Carlos III s/n, 45071 Toledo, Spain)

  • Julio Muñoz

    (Departamento de Matemáticas, Universidad de Castilla-La Mancha, Avda. Carlos III s/n, 45071 Toledo, Spain)

Abstract

This work is an extension of the paper by Cea and Malanowski to the nonlocal and nonlinear framework. The addressed topic is the study of an optimal control problem driven by a nonlocal p -Laplacian equation that includes a coefficient playing the role of control in the optimization problem. The cost functional is the compliance, and the constraint on the states are of the Dirichlet homogeneous type. The goal of the present work is a numerical scheme for the nonlocal optimal control problem and its use to approximate solutions in the local setting. The main contributions of the paper are a maximum principle and a uniqueness result. These findings and the monotonicity properties of the p -Laplacian operator have been crucial to building an effective numerical scheme, which, at the same time, has provided the existence of optimal designs. Several numerical simulations complete the work.

Suggested Citation

  • Fuensanta Andrés & Damián Castaño & Julio Muñoz, 2023. "Minimization of the Compliance under a Nonlocal p -Laplacian Constraint," Mathematics, MDPI, vol. 11(7), pages 1-22, March.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:7:p:1679-:d:1112940
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/7/1679/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/7/1679/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jérôme Boulanger & Peter Elbau & Carsten Pontow & Otmar Scherzer, 2011. "Non-Local Functionals for Imaging," Springer Optimization and Its Applications, in: Heinz H. Bauschke & Regina S. Burachik & Patrick L. Combettes & Veit Elser & D. Russell Luke & Henry (ed.), Fixed-Point Algorithms for Inverse Problems in Science and Engineering, chapter 0, pages 131-154, Springer.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fuensanta Andrés & Julio Muñoz, 2017. "On the Convergence of a Class of Nonlocal Elliptic Equations and Related Optimal Design Problems," Journal of Optimization Theory and Applications, Springer, vol. 172(1), pages 33-55, January.

    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:gam:jmathe:v:11:y:2023:i:7:p:1679-:d:1112940. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.