IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/598716.html
   My bibliography  Save this article

A Parallel Preconditioned Modified Conjugate Gradient Method for Large Sylvester Matrix Equation

Author

Listed:
  • Junxia Hou
  • Quanyi Lv
  • Manyu Xiao

Abstract

Computational effort of solving large-scale Sylvester equations is frequently hindered in dealing with many complex control problems. In this work, a parallel preconditioned algorithm for solving it is proposed based on combination of a parameter iterative preconditioned method and modified form of conjugate gradient (MCG) method. Furthermore, Schur’s inequality and modified conjugate gradient method are employed to overcome the involved difficulties such as determination of parameter and calculation of inverse matrix. Several numerical results finally show that high performance of proposed parallel algorithm is obtained both in convergent rate and in parallel efficiency.

Suggested Citation

  • Junxia Hou & Quanyi Lv & Manyu Xiao, 2014. "A Parallel Preconditioned Modified Conjugate Gradient Method for Large Sylvester Matrix Equation," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-7, March.
    • Handle: RePEc:hin:jnlmpe:598716
    DOI: 10.1155/2014/598716
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2014/598716.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2014/598716.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/598716?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:jnlmpe:598716. 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.