• DocumentCode
    357415
  • Title

    Domain decomposition method for the solution of electromagnetic field penetration problems

  • Author

    Lei Yin ; Xiaoxin Yin ; Wei Hong

  • Volume
    1
  • fYear
    2000
  • fDate
    16-21 July 2000
  • Firstpage
    42
  • Abstract
    We present a novel fast algorithm based on a mixed technique of the FD method and the domain decomposition method (DDM) for the analysis of electromagnetic field penetration problems. Different from other methods, the new method decomposes the whole domain of the problem into several coupled subdomains. For different sub-domains, the different most efficient method can be chosen independently. However, each sub-domain can have its own lattices independently to suit for the special shapes, and same lattices in all sub-domains are unnecessary. Besides, it is well suited for numerical implementations on parallel computation and can considerably reduce both memory storage requirements and central processing unit (CPU) time. The numerical results shown demonstrated that the computational effort and memory storage requirement of the new algorithm are only O(N) and O(N/sub max/), respectively. Here N is the total number of unknowns and N/sub max/=max(N/sub i/), while N/sub i/ is the number of unknowns in ith sub-domain.
  • Keywords
    electromagnetic fields; electromagnetic wave polarisation; finite difference methods; parallel algorithms; TE polarized wave; TM polarized wave; central processing unit time reduction; coupled subdomains; domain decomposition method; electromagnetic field penetration problems; fast algorithm; memory storage requirements reduction; narrow band coefficient matrix; parallel computation; Apertures; Central Processing Unit; Electromagnetic fields; Equations; Finite difference methods; Lattices; Matrix decomposition; Message-oriented middleware; Shape; Sparse matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2000. IEEE
  • Conference_Location
    Salt Lake City, UT, USA
  • Print_ISBN
    0-7803-6369-8
  • Type

    conf

  • DOI
    10.1109/APS.2000.873701
  • Filename
    873701