• DocumentCode
    357635
  • Title

    Solving moment method problems by partitioning

  • Author

    Van Hagen, J. ; Herschlein, A. ; Wiesbeck, Werner

  • Author_Institution
    Inst. fur Hochstfrequenztech. & Elektron., Karlsruhe Univ., Germany
  • Volume
    3
  • fYear
    2000
  • fDate
    16-21 July 2000
  • Firstpage
    1826
  • Abstract
    Efficient solutions of electromagnetic field problems are more and more needed as numerical methods are increasingly applied. A partitioning of the method of moments (MoM) matrix allows one to efficiently apply the MoM to several special classes of problems. The first class is an optimization problem where small parts of a big system have to be tuned, whereas the bigger part remains constant. The second class are problems too big to fit into the computer´s memory. There, the partitioning allows one to efficiently use internal and external memories and to minimize data transfer between the two. After an outline of the method two numerical examples are presented. The first is the optimization of an antenna on top of a handset, the second is a very large electromagnetic problem which does not fit into the computers memory.
  • Keywords
    computational complexity; electromagnetic fields; electromagnetic wave scattering; matrix decomposition; method of moments; mobile antennas; optimisation; telephone sets; MoM matrix partitioning; computational complexity; computers memory; data transfer minimization; electromagnetic field problems; external memory; handset antenna; internal memory; large scatterers; matrix factorization; moment method problems solution; numerical methods; optimization; optimization problem; partitioning; Computational efficiency; Electromagnetic fields; Electromagnetic scattering; Equations; Helical antennas; Linear systems; Moment methods; Shape; Telephone sets; Telephony;
  • 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.2000.874600
  • Filename
    874600