• DocumentCode
    521949
  • Title

    LU-decomposition based integral equation solver of linear complexity and higher-order accuracy for large-scale capacitance extraction

  • Author

    Chai, Wenwen ; Jiao, Dan

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2010
  • fDate
    12-16 April 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A fast LU factorization of linear complexity is developed to directly solve a dense system of linear equations for the capacitance extraction of any arbitrary shaped 3-D structure embedded in inhomogeneous materials. In addition, a higherorder scheme is developed to achieve any higher-order accuracy for the proposed fast solver without sacrificing its linear computational complexity. The proposed solver successfully factorizes dense matrices that involve more than one million unknowns in fast CPU run time and modest memory consumption. Comparisons with state-of-the-art integral-equation-based capacitance solvers have demonstrated its clear advantages.
  • Keywords
    Capacitance; Computational complexity; Conductors; Dielectrics; Embedded computing; Hydrogen; Integral equations; Large-scale systems; Performance analysis; Virtual colonoscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EuCAP), 2010 Proceedings of the Fourth European Conference on
  • Conference_Location
    Barcelona, Spain
  • Print_ISBN
    978-1-4244-6431-9
  • Electronic_ISBN
    978-84-7653-472-4
  • Type

    conf

  • Filename
    5505105