IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v8y2020i10p1836-d431110.html
   My bibliography  Save this article

Linear Convergence of Split Equality Common Null Point Problem with Application to Optimization Problem

Author

Listed:
  • Yaqian Jiang

    (School of Mathematical Sciences, Tiangong University, Tianjin 300392, China)

  • Rudong Chen

    (School of Mathematical Sciences, Tiangong University, Tianjin 300392, China)

  • Luoyi Shi

    (School of Mathematical Sciences, Tiangong University, Tianjin 300392, China)

Abstract

The purpose of this paper is to propose an iterative algorithm for solving the split equality common null point problem (SECNP), which is to find an element of the set of common zero points for a finite family of maximal monotone operators in Hilbert spaces. We introduce the concept of bounded linear regularity for the SECNP and construct several sufficient conditions to ensure the linear convergence of the algorithm. Moreover, some numerical experiments are given to test the validity of our results.

Suggested Citation

  • Yaqian Jiang & Rudong Chen & Luoyi Shi, 2020. "Linear Convergence of Split Equality Common Null Point Problem with Application to Optimization Problem," Mathematics, MDPI, vol. 8(10), pages 1-12, October.
  • Handle: RePEc:gam:jmathe:v:8:y:2020:i:10:p:1836-:d:431110
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/8/10/1836/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/8/10/1836/
    Download Restriction: no
    ---><---

    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:8:y:2020:i:10:p:1836-:d:431110. 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: 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.