• DocumentCode
    3103379
  • Title

    Shrinking Projection Methods for Maximal Monotone Operators and Quasi-nonexpansive Mappings

  • Author

    Gao, Xinghui ; Ma, Lerong

  • Author_Institution
    Coll. of Math. & Comput. Sci., Yanan Univ., Yanan, China
  • fYear
    2010
  • fDate
    26-28 Sept. 2010
  • Firstpage
    247
  • Lastpage
    250
  • Abstract
    In this paper, we consider a new shrinking projection method for finding common elements of the set of fixed points of a quasi-φ-nonexpansive mapping and the set of zero points of a maximal monotone operator. We establish a strong convergence theorem of common elements by using new analysis techniques in the setting of reflexive, strictly convex, smooth Banach spaces with the property (K). As an application, the problem of finding a minimizer of a convex function is considered.
  • Keywords
    Banach spaces; convergence; convex programming; convergence theorem; fixed points; maximal monotone operators; quasinonexpansive mappings; reflexive spaces; shrinking projection methods; smooth Banach spaces; strictly convex spaces; Artificial neural networks; Convergence; Convex functions; Mathematical model; Optical wavelength conversion; Social network services; System-on-a-chip; maximal monotone operator; quasi-f-nonexpansive mapping; shrinking projection methods; the property(K);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Aspects of Social Networks (CASoN), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-8785-1
  • Type

    conf

  • DOI
    10.1109/CASoN.2010.63
  • Filename
    5636694