IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/283679.html
   My bibliography  Save this article

A Transformation of Accelerated Double Step Size Method for Unconstrained Optimization

Author

Listed:
  • Predrag S. Stanimirović
  • Gradimir V. Milovanović
  • Milena J. Petrović
  • Nataša Z. Kontrec

Abstract

A reduction of the originally double step size iteration into the single step length scheme is derived under the proposed condition that relates two step lengths in the accelerated double step size gradient descent scheme. The proposed transformation is numerically tested. Obtained results confirm the substantial progress in comparison with the single step size accelerated gradient descent method defined in a classical way regarding all analyzed characteristics: number of iterations, CPU time, and number of function evaluations. Linear convergence of derived method has been proved.

Suggested Citation

  • Predrag S. Stanimirović & Gradimir V. Milovanović & Milena J. Petrović & Nataša Z. Kontrec, 2015. "A Transformation of Accelerated Double Step Size Method for Unconstrained Optimization," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-8, April.
  • Handle: RePEc:hin:jnlmpe:283679
    DOI: 10.1155/2015/283679
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2015/283679.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2015/283679.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2015/283679?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
    ---><---

    Citations

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


    Cited by:

    1. Dragos-Patru Covei, 2023. "Exact Solution for the Production Planning Problem with Several Regimes Switching over an Infinite Horizon Time," Mathematics, MDPI, vol. 11(20), pages 1-13, October.
    2. Milena J. Petrović & Dragana Valjarević & Dejan Ilić & Aleksandar Valjarević & Julija Mladenović, 2022. "An Improved Modification of Accelerated Double Direction and Double Step-Size Optimization Schemes," Mathematics, MDPI, vol. 10(2), pages 1-18, January.
    3. Vladimir Rakočević & Milena J. Petrović, 2022. "Comparative Analysis of Accelerated Models for Solving Unconstrained Optimization Problems with Application of Khan’s Hybrid Rule," Mathematics, MDPI, vol. 10(23), pages 1-13, November.

    More about this item

    Statistics

    Access and download statistics

    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:hin:jnlmpe:283679. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.