IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v362y2019ic61.html
   My bibliography  Save this article

A variant of relaxed triangular splitting preconditioners for generalized saddle point problems from Navier–Stokes equations

Author

Listed:
  • Fan, Hongtao
  • Zhu, Xinyun
  • Li, Yajing
  • Zheng, Bing

Abstract

Based on the dimensional split preconditioner, in this paper a variant of relaxed triangular splitting preconditioner (VRTS) is presented and discussed, in which a simple and feasible way is designed for the selection of the parameters. Spectral properties of the VRTS preconditioned matrix are analyzed in detail. Theoretical analysis shows that when applying the VRTS preconditioner within a Krylov subspace method, less computational cost is required at each iteration than some state-of-the-art approaches. Finally, some numerical experiments arising from the discretization of Navier–Stokes equations are given to illustrate and validate the efficiency and robustness of the presented preconditioners with using GMRES(♯) as an iterative solver.

Suggested Citation

  • Fan, Hongtao & Zhu, Xinyun & Li, Yajing & Zheng, Bing, 2019. "A variant of relaxed triangular splitting preconditioners for generalized saddle point problems from Navier–Stokes equations," Applied Mathematics and Computation, Elsevier, vol. 362(C), pages 1-1.
    • Handle: RePEc:eee:apmaco:v:362:y:2019:i:c:61
    DOI: 10.1016/j.amc.2019.06.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300319304746
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2019.06.009?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:apmaco:v:362:y:2019:i:c:61. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.