• DocumentCode
    1109926
  • Title

    A multilevel matrix decomposition algorithm for analyzing scattering from large structures

  • Author

    Michielssen, Eric ; Boag, Amir

  • Author_Institution
    Electromagn. Commun. Lab., Illinois Univ., Urbana, IL, USA
  • Volume
    44
  • Issue
    8
  • fYear
    1996
  • fDate
    8/1/1996 12:00:00 AM
  • Firstpage
    1086
  • Lastpage
    1093
  • Abstract
    A multilevel algorithm is presented for analyzing scattering from electrically large surfaces. The algorithm accelerates the iterative solution of integral equations that arise in computational electromagnetics. The algorithm permits a fast matrix-vector multiplication by decomposing the traditional method of moment matrix into a large number of blocks, with each describing the interaction between distant scatterers. The multiplication of each block by a trial solution vector is executed using a multilevel scheme that resembles a fast Fourier transform (FFT) and that only relies on well-known algebraic techniques. The computational complexity and the memory requirements of the proposed algorithm are O(N log2 N)
  • Keywords
    computational complexity; electromagnetic wave scattering; fast Fourier transforms; integral equations; matrix decomposition; matrix multiplication; method of moments; EM wave scattering; FFT; algebraic techniques; coated scatterers; computational complexity; computational electromagnetics; distant scatterers; electrically large surfaces; fast Fourier transform; fast matrix-vector multiplication; integral equations; iterative solution; memory requirements; method of moment matrix; multilevel matrix decomposition algorithm; solution vector; Acceleration; Algorithm design and analysis; Computational complexity; Computational electromagnetics; Electromagnetic scattering; Fast Fourier transforms; Integral equations; Iterative algorithms; Matrix decomposition; Moment methods;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/8.511816
  • Filename
    511816