• DocumentCode
    2764643
  • Title

    Algebraic method for calculating symbolic network functions of large electronic networks

  • Author

    Pierzchala, Marian ; Rodanski, B.

  • Author_Institution
    Hilmar Ltd., Wroclaw, Poland
  • Volume
    2
  • fYear
    1994
  • fDate
    3-5 Aug 1994
  • Firstpage
    1319
  • Abstract
    In this paper we describe an algebraic method for determining the symbolic network functions of large electronic networks. The method is based on the Laplace theorem and a new technique for decomposition of the node admittance matrix. We will show that the problem of decomposition of large-scale network can be efficiently solved using the maximum neural network
  • Keywords
    Laplace equations; electric admittance; matrix decomposition; network analysis; Laplace theorem; algebraic method; decomposition; large electronic networks; maximum neural network; node admittance matrix; symbolic network functions; Active matrix technology; Admittance; Electronic circuits; Heuristic algorithms; Large-scale systems; Matrix decomposition; Neural networks; Partitioning algorithms; Sparse matrices; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
  • Conference_Location
    Lafayette, LA
  • Print_ISBN
    0-7803-2428-5
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1994.519052
  • Filename
    519052