• DocumentCode
    809140
  • Title

    The Newton-Raphson method accelerated by using a line search - comparison between energy functional and residual minimization

  • Author

    Fujiwara, Koji ; Okamoto, Yoshifumi ; Kameari, Akihisa ; Ahagon, Akira

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Okayama Univ., Japan
  • Volume
    41
  • Issue
    5
  • fYear
    2005
  • fDate
    5/1/2005 12:00:00 AM
  • Firstpage
    1724
  • Lastpage
    1727
  • Abstract
    A line search was combined with the Newton-Raphson method to accelerate the convergence of the iterative calculation in nonlinear magnetic field analysis. As a method for determining a step size for update, the minimization of an energy functional and a square of 2-norm of residual obtained from the finite-element discretization was investigated. It was demonstrated that the energy functional minimization is superior to the residual minimization from the viewpoint of computational cost. The line search is effective even in the magnetic vector potential formulation, which is said to be stable usually.
  • Keywords
    Newton-Raphson method; computational electromagnetics; convergence of numerical methods; iterative methods; magnetic fields; Newton-Raphson method; convergence; energy functional minimization; finite-element discretization; iterative calculation; line search; magnetic vector potential formulation; nonlinear magnetic field analysis; residual minimization; Acceleration; Computational efficiency; Convergence; Finite element methods; Iterative methods; Magnetic analysis; Magnetic flux; Magnetostatics; Minimization methods; Nonlinear magnetics; Energy functional; Newton–Raphson method; line search; minimization; nonlinear magnetic field analysis; residual;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2005.846048
  • Filename
    1430950