IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i2p215-d1564132.html
   My bibliography  Save this article

Research on Three-Dimensional Extension of Barzilai-Borwein-like Method

Author

Listed:
  • Tianji Wang

    (School of Mathematics, Jilin University, Changchun 130012, China
    These authors contributed equally to this work.)

  • Qingdao Huang

    (School of Mathematics, Jilin University, Changchun 130012, China
    These authors contributed equally to this work.)

Abstract

The Barzilai-Borwein (BB) method usually uses BB stepsize for iteration so as to eliminate the line search step in the steepest descent method. In this paper, we modify the BB stepsize and extend it to solve the optimization problems of three-dimensional quadratic functions. The discussion is divided into two cases. Firstly, we study the case where the coefficient matrix of the quadratic term of quadratic function is a special third-order diagonal matrix and prove that using the new modified stepsize, this case is R -superlinearly convergent. In addition to that, we extend it to n -dimensional case and prove the rate of convergence is R -linear. Secondly, we analyze that the coefficient matrix of the quadratic term of quadratic function is a third-order asymmetric matrix, that is, when the matrix has a double characteristic root and prove the global convergence of this case. The results of numerical experiments show that the modified method is effective for the above two cases.

Suggested Citation

  • Tianji Wang & Qingdao Huang, 2025. "Research on Three-Dimensional Extension of Barzilai-Borwein-like Method," Mathematics, MDPI, vol. 13(2), pages 1-26, January.
  • Handle: RePEc:gam:jmathe:v:13:y:2025:i:2:p:215-:d:1564132
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/2/215/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/13/2/215/
    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:13:y:2025:i:2:p:215-:d:1564132. 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.