IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-72456-0_17.html

Hyperinterpolation for Spectral Wave Propagation Models in Three Dimensions

In: Contemporary Computational Mathematics - A Celebration of the 80th Birthday of Ian Sloan

Author

Listed:
  • Mahadevan Ganesh

    (Colorado School of Mines, Department of Applied Mathematics & Statistics)

  • Stuart C. Hawkins

    (Macquarie University, Department of Mathematics)

Abstract

In this review article, we describe some advances in applications of the hyperinterpolation operator introduced by Sloan about two decades ago (J Approx Theory 83:238–254, 1995). In particular, our focus is on reviewing the application of the scalar and vector-valued hyperinterpolation approximations for developing, analyzing and implementing fully-discrete high-order algorithms. Such approximations facilitate efficient simulation of scattering of acoustic, electromagnetic and elastic waves, exterior to connected and disconnected bounded three dimensional domains. The main contributions of this article are: (1) a unified (acoustic, electromagnetic, and elastic) approach for the three important classes of waves; (2) theoretical and numerical comparisons of the hyperinterpolation approximations in these three applications; and (3) new results for a class of unbounded heterogeneous media.

Suggested Citation

  • Mahadevan Ganesh & Stuart C. Hawkins, 2018. "Hyperinterpolation for Spectral Wave Propagation Models in Three Dimensions," Springer Books, in: Josef Dick & Frances Y. Kuo & Henryk Woźniakowski (ed.), Contemporary Computational Mathematics - A Celebration of the 80th Birthday of Ian Sloan, pages 351-372, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-72456-0_17
    DOI: 10.1007/978-3-319-72456-0_17
    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

    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:978-3-319-72456-0_17. 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.