IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-18775-9_52.html
   My bibliography  Save this book chapter

Celebrating Fifty Years of David M. Young’s Successive Overrelaxation Method

In: Numerical Mathematics and Advanced Applications

Author

Listed:
  • David R. Kincaid

    (University of Texas at Austin, Department of Computer Sciences)

Abstract

Summary It has been over fifty years since David M. Young’s original work on the successive overrelaxation (SOR) methods. This fundamental method now appears in all textbooks containing an introductory discussion of iterative solution methods. (Most often the SOR method appears after a presentation of Jacobi iteration and Gauss-Seidel iteration and before the conjugate gradient iterative method.) We present a brief survey of some of the research of Professor David M. Young, together with his students and collaborators, on iterative methods for solving large sparse linear algebraic equations. This is not a complete survey but just a sampling of various papers with a focus on some of these publications. Dr. David M. Young’s doctoral thesis [27] was accepted in 1950 by his supervising Professor Garrett Birkhoff of Harvard University and his paper [28] based this work appeared in 1954. This is one of the landmark contributions in modern numerical analysis. The red-black ordering for matrices is of great importance in parallel computing. Gene Golub has said: “It’s almost as if David could see into the future!” David Young celebrated his 80th birthday on October 20, 2003 ( http://www.ma.utexas.edu/CNA/photos.html ).

Suggested Citation

  • David R. Kincaid, 2004. "Celebrating Fifty Years of David M. Young’s Successive Overrelaxation Method," Springer Books, in: Miloslav Feistauer & Vít Dolejší & Petr Knobloch & Karel Najzar (ed.), Numerical Mathematics and Advanced Applications, pages 549-558, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-18775-9_52
    DOI: 10.1007/978-3-642-18775-9_52
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-3-642-18775-9_52. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.