• DocumentCode
    343818
  • Title

    Error analysis for the truncation of multipole expansion of vector Green´s functions

  • Author

    Song, J.M. ; Chew, W.C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    1
  • fYear
    1999
  • fDate
    11-16 July 1999
  • Firstpage
    628
  • Abstract
    The advent of fast algorithms in computational electromagnetics has permitted the solution of integral equations with an unprecedented number of unknowns. This is the consequence of the development of the fast multipole algorithms (FMA) and the multilevel fast multipole algorithms (MLFMA). Such algorithms allow a matrix-vector multiplication to be performed in O(NlogN) operations or less for many scattering problems. Moreover, the memory requirements of these methods are O(NlogN), or almost matrix free. Using the fast matrix-vector multiplications in an iterative solver, problems for integral equations involving millions of unknowns have been solved previously. One of the most important mathematical formulas in FMA is the addition theorem. In the numerical implementation of the addition theorem, the infinite series should be truncated. The error analysis for the truncation error in the scalar Green´s functions has been done by many researchers. In this paper, the error analysis for the truncation error in the multipole expansion of vector Green´s functions is given.
  • Keywords
    Green´s function methods; electromagnetic wave scattering; error analysis; integral equations; iterative methods; addition theorem; computational electromagnetics; error analysis; fast multipole algorithms; finite series; infinite series; integral equations; iterative solver; matrix-vector multiplication; memory requirements; multilevel fast multipole algorithms; multipole expansion; scattering problems; truncation; vector Green´s functions; Computational electromagnetics; Electromagnetic scattering; Error analysis; Finite wordlength effects; Green´s function methods; Integral equations; Iterative algorithms; MLFMA; Polynomials; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 1999. IEEE
  • Conference_Location
    Orlando, FL, USA
  • Print_ISBN
    0-7803-5639-x
  • Type

    conf

  • DOI
    10.1109/APS.1999.789217
  • Filename
    789217