En poursuivant votre navigation sur ce site, vous acceptez l'utilisation d'un simple cookie d'identification. Aucune autre exploitation n'est faite de ce cookie. OK

Manage my selections

  • z

    Destination de la recherche

    Raccourcis

    1

    The sparse cardinal sine decomposition and applications

    Bookmarks Report an error
    Multi angle
    Authors : Alouges, François (Author of the conference)
    CIRM (Publisher )

    00:00
    00:00
     

    Abstract : When solving wave scattering problems with the Boundary Element Method (BEM), one usually faces the problem of storing a dense matrix of huge size which size is proportional to the (square of) the number N of unknowns on the boundary of the scattering object. Several methods, among which the Fast Multipole Method (FMM) or the H-matrices are celebrated, were developed to circumvent this obstruction. In both cases an approximation of the matrix is obtained with a O(N log(N)) storage and the matrix-vector product has the same complexity. This permits to solve the problem, replacing the direct solver with an iterative method.
    The aim of the talk is to present an alternative method which is based on an accurate version of the Fourier based convolution. Based on the non-uniform FFT, the method, called the sparse cardinal sine decomposition (SCSD) ends up to have the same complexity than the FMM for much less complexity in the implementation. We show in practice how the method works, and give applications in as different domains as Laplace, Helmholtz, Maxwell or Stokes equations.
    This is a joint work with Matthieu Aussal.

    MSC Codes :
    65R10 - Integral transforms
    65T40 - Trigonometric approximation and interpolation
    65T50 - Discrete and fast Fourier transforms (numerical methods)

      Information on the Video

      Film maker : Hennenfent, Guillaume
      Language : English
      Available date : 26/08/16
      Conference Date : 24/08/16
      Subseries : Research talks
      arXiv category : Numerical Analysis ; Physics
      Mathematical Area(s) : Numerical Analysis & Scientific Computing ; Mathematics in Science & Technology
      Format : MP4 (.mp4) - HD
      Video Time : 01:11:49
      Targeted Audience : Researchers
      Download : https://videos.cirm-math.fr/2016-08-24_Alouges.mp4

    Information on the Event

    Event Title : CEMRACS: Numerical challenges in parallel scientific computing / CEMRACS : Défis numériques en calcul scientifique parallèle
    Event Organizers : Grigori, Laura ; Japhet, Caroline ; Moireau, Philippe ; Parnaudeau, Philippe
    Dates : 18/07/16 - 26/08/16
    Event Year : 2016
    Event URL : http://conferences.cirm-math.fr/1430.html

    Citation Data

    DOI : 10.24350/CIRM.V.19034403
    Cite this video as: Alouges, François (2016). The sparse cardinal sine decomposition and applications. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19034403
    URI : http://dx.doi.org/10.24350/CIRM.V.19034403

    See Also

    Bibliography



    Bookmarks Report an error
    Close