• DocumentCode
    1899479
  • Title

    Convergence of Hybrid Steepest-Descent Methods with Wn-mapping for Generalized Variational Inequalities

  • Author

    Chen Xiaomin ; Xie Xuping

  • Author_Institution
    Dept. of Inf. & Comput. Sci., Chengdu Electromech. Coll., Chengdu, China
  • Volume
    2
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    418
  • Lastpage
    422
  • Abstract
    In this paper, we consider the generalized variational inequality, to obtain its convergence theorem, we introduce iterative algorithm with infinite nonexpansive mapping to find approximate solution of the GVI (F, g, C). Strong convergence theorems are established under some suitable conditions.
  • Keywords
    Hilbert spaces; approximation theory; convergence of numerical methods; gradient methods; iterative methods; variational techniques; Wn-mapping; approximate solution; convergence theorem; generalized variational inequality; hybrid steepest-descent method; infinite nonexpansive mapping; iterative algorithm; Approximation methods; Convergence; Educational institutions; Hilbert space; Iterative methods; Optimization; Parallel algorithms; Fixed Point; Iteration Algorithm; Nonlinear Analysis; Variational Inequalities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-0689-8
  • Type

    conf

  • DOI
    10.1109/ICCSEE.2012.30
  • Filename
    6188053
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1899479