• DocumentCode
    1427474
  • Title

    A Stochastic Collocation Method Combined With a Reduced Basis Method to Compute Uncertainties in Numerical Dosimetry

  • Author

    Drissaoui, Mohammed Amine ; Lanteri, Stéphane ; Lévêque, Philippe ; Musy, François ; Nicolas, Laurent ; Perrussel, Ronan ; Voyer, Damien

  • Author_Institution
    Lab. Ampere, Univ. de Lyon, Ecully, France
  • Volume
    48
  • Issue
    2
  • fYear
    2012
  • Firstpage
    563
  • Lastpage
    566
  • Abstract
    A reduced basis method is introduced to deal with a stochastic problem in a numerical dosimetry application in which the field solutions are computed using an iterative solver. More precisely, the computations already performed are used to build an initial guess for the iterative solver. It is shown that this approach significantly reduces the computational cost.
  • Keywords
    dosimetry; finite element analysis; stochastic systems; finite element approximation; iterative solver; numerical dosimetry; reduced basis method; stochastic collocation method; Computational efficiency; Dosimetry; Humans; Iron; Linear systems; Mobile handsets; Stochastic processes; Dosimetry; finite-element methods; numerical analysis;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2011.2174347
  • Filename
    6136480
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1427474