IDEAS home Printed from https://ideas.repec.org/a/hin/jnljam/295147.html
   My bibliography  Save this article

Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique

Author

Listed:
  • Congying Han
  • Tingting Feng
  • Guoping He
  • Tiande Guo

Abstract

A modified parallel variable distribution (PVD) algorithm for solving large-scale constrained optimization problems is developed, which modifies quadratic subproblem at each iteration instead of the of the SQP-type PVD algorithm proposed by C. A. Sagastizábal and M. V. Solodov in 2002. The algorithm can circumvent the difficulties associated with the possible inconsistency of subproblem of the original SQP method. Moreover, we introduce a nonmonotone technique instead of the penalty function to carry out the line search procedure with more flexibly. Under appropriate conditions, the global convergence of the method is established. In the final part, parallel numerical experiments are implemented on CUDA based on GPU (Graphics Processing unit).

Suggested Citation

  • Congying Han & Tingting Feng & Guoping He & Tiande Guo, 2013. "Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-7, April.
    • Handle: RePEc:hin:jnljam:295147
    DOI: 10.1155/2013/295147
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/JAM/2013/295147.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/JAM/2013/295147.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/295147?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
    ---><---

    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:jnljam:295147. 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.