• DocumentCode
    2820801
  • Title

    A Two-Stage Step Size Rule on Improved Prediction-Correction Method for Monotone Nonlinear Variational Inequalities

  • Author

    Shao, Hu ; Wang, Guodong

  • Author_Institution
    Sch. of Sci., China Univ. of Min. & Technol., Xuzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    137
  • Lastpage
    139
  • Abstract
    This paper proposes a two-stage step size rule for monotone nonlinear variational inequality (VI) problems to further extend the improved prediction-correction (PC) method. The improved PC method is one of the most popular methods for solving the monotone VI problem due to its simplicity and efficiency. To obtain a more exact and efficient step size in the proved PC method, the step size is calculated by two stages. The first stage is the prediction stage, in which the original step size rule in improved PC method is adopted. The second stage is the correction stage, in which the result in the prediction stage is used to achieve a more exact step size. The deduction of the two-stage step size rule is given. Numerical examples indicate that the improved PC method with the two-stage step size rule can save the CPU time compared with that without the two-stage step size rule.
  • Keywords
    convergence of numerical methods; nonlinear programming; variational techniques; PC method; convergence property; monotone VI problem; monotone nonlinear variational inequality; prediction-correction method; two-stage step size rule; Convergence; Economic forecasting; Equations; Helium; Mathematical model; Mathematics; Optimization methods; Traffic control; Transportation; Prediction-Correction Method; Step Size Rule; Variational Inequalities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.56
  • Filename
    5193915