IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v232y2014icp104-116.html
   My bibliography  Save this article

Supplementary projections for the acceleration of Kaczmarz algorithm

Author

Listed:
  • Pomparău, I.
  • Popa, C.

Abstract

When solving a linear least squares problem using the classical Kaczmarz solver, usually different accelerating techniques are employed. We study a method of adding to the original problem supplementary directions for projection as linear combinations of rows or columns. In order to conserve the sparsity pattern of the system matrix we propose an algorithm which computes an initial transformation via clustering based on the sparsity similarity. Numerical experiments show that, as the number of clusters is increased, the acceleration is decreased.

Suggested Citation

  • Pomparău, I. & Popa, C., 2014. "Supplementary projections for the acceleration of Kaczmarz algorithm," Applied Mathematics and Computation, Elsevier, vol. 232(C), pages 104-116.
    • Handle: RePEc:eee:apmaco:v:232:y:2014:i:c:p:104-116
    DOI: 10.1016/j.amc.2014.01.098
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300314001350
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2014.01.098?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:232:y:2014:i:c:p:104-116. 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.