IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-55711-8_82.html
   My bibliography  Save this book chapter

An Adaptive Order Godunov Type Central Scheme

In: Hyperbolic Problems: Theory, Numerics, Applications

Author

Listed:
  • Eitan Tadmor

    (Institute for Physical Science & Technology and Center for Scientific Computation And Mathematical Modeling (CSCAMM), University of Maryland College Park, Department of Mathematics)

  • Jared Tanner

    (University of California Davis, Department of Mathematics)

Abstract

Traditionally, high order Godunov-type central schemes employ local polynomial reconstructions. These reconstructions avoid transfer of information across discontinuities through nonlinear limiters which act as local edge detectors. Here we introduce an adaptive method which employ global edge detection to ensure that information is extracted in the direction of smoothness while maintaining computational stability. Additionally, the global edge detection substantially reduces the computational cost. The reconstruction incorporates the largest symmetric stencil possible without crossing discontinuities. Consequently, the spatial order of accuracy is proportional to the number of cells to the nearest discontinuity, reaching exponential order at the interior of regions of smoothness.

Suggested Citation

  • Eitan Tadmor & Jared Tanner, 2003. "An Adaptive Order Godunov Type Central Scheme," Springer Books, in: Thomas Y. Hou & Eitan Tadmor (ed.), Hyperbolic Problems: Theory, Numerics, Applications, pages 871-880, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-55711-8_82
    DOI: 10.1007/978-3-642-55711-8_82
    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:978-3-642-55711-8_82. 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.