• DocumentCode
    1526552
  • Title

    Rigorous Solutions of Electromagnetic Problems Involving Hundreds of Millions of Unknowns

  • Author

    Ergül, Özgür ; Gürel, Levent

  • Author_Institution
    Dept. of Math. & Stat., Univ. of Strathclyde, Glasgow, UK
  • Volume
    53
  • Issue
    1
  • fYear
    2011
  • Firstpage
    18
  • Lastpage
    27
  • Abstract
    Accurate simulations of real-life electromagnetic problems with integral equations require the solution of dense matrix equations involving millions of unknowns. Solutions of these extremely large problems cannot be easily achieved, even when using the most powerful computers with state-of-the-art technology. Hence, many electromagnetic problems in the literature have been solved by resorting to various approximation techniques, without controllable error. In this paper, we present full-wave solutions of scattering problems discretized with hundreds of millions of unknowns by employing a parallel implementation of the Multilevel Fast Multipole Algorithm. Various examples involving canonical and complicated objects, including scatterers larger than 1000λ, are presented, in order to demonstrate the feasibility of accurately solving large-scale problems on relatively inexpensive computing platforms.
  • Keywords
    approximation theory; electromagnetic wave scattering; integral equations; iterative methods; parallel algorithms; approximation techniques; canonical object; complicated object; dense matrix equations; electromagnetic problems; full-wave solutions; integral equations; large-scale problems; multilevel fast multipole algorithm; parallel implementation; scattering problems; state-of-the-art technology; Approximation methods; Electromagnetic analysis; Equations; Integral equations; Large-scale systems; Matrix converters; Electromagnetic fields; electromagnetic scattering; integral equations; iterative methods; multilevel fast multipole algorithm; parallel algorithms;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1045-9243
  • Type

    jour

  • DOI
    10.1109/MAP.2011.5773562
  • Filename
    5773562