• DocumentCode
    1959203
  • Title

    A Wavelet-based Algebraic Multigrid Preconditioning for Iterative Solvers in 3D timeharmonic Electromagnetic Edge-based Finite Element Analysis

  • Author

    Pereira, Fabio Henrique ; Palin, Marcelo Facio ; Verardi, Sergio Luis Lopes ; Silva, Viviane Cristine ; Cardoso, Jose Roberto ; Nabeta, Silvio

  • Author_Institution
    Escola Politecnica da Univ. de Sao Paulo
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    50
  • Lastpage
    50
  • Abstract
    The algebraic multigrid (AMG) method is an efficient preconditioner for iterative solvers for linear systems of equations arising from various finite element analyses. However, classical AMG method cannot directly be applied to ungauged edge-based electromagnetic FE analysis, since the coefficient matrix violates the M-matrix property. A new approach for AMG, based in Wavelets and called WAMG, is presented, which eliminates this problem. The numerical results show that the proposed AMG is more efficient than shifted incomplete Cholesky when used as preconditioner for the biconjugate gradient stabilized (BiCGstab)
  • Keywords
    computational electromagnetics; differential equations; finite element analysis; harmonic analysis; iterative methods; matrix algebra; wavelet transforms; 3D time-harmonic electromagnetic edge-based FEA; M-matrix property; biconjugate gradient stabilized preconditioner; coefficient matrix; iterative solvers; linear systems; shifted incomplete Cholesky; wavelet-based algebraic multigrid preconditioning; Discrete wavelet transforms; Electromagnetic analysis; Electromagnetic fields; Electromagnetic scattering; Equations; Finite element methods; Grounding; Multigrid methods; Substations; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Field Computation, 2006 12th Biennial IEEE Conference on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    1-4244-0320-0
  • Type

    conf

  • DOI
    10.1109/CEFC-06.2006.1632842
  • Filename
    1632842