• DocumentCode
    476170
  • Title

    Iterative algorithm to common fixed points of infinite nonexpansive mappings in Banach spaces

  • Author

    Li, Wei ; Duan, Li-ling

  • Author_Institution
    Sch. of Math. & Stat., Hebei Univ. of Econ. & Bus., Shijiazhuang
  • Volume
    4
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    2309
  • Lastpage
    2313
  • Abstract
    Finding iterative algorithms to approximate fixed points for nonexpansive mappings is a very active topic in a number of mathematical and engineering areas, in particular, in image recovery and signal processing. Considerable research efforts have been devoted to the study of this area in recent years. By now, there already exist some algorithms, but they are not quite enough to deal with problems of finding common fixed points of infinite nonexpansive mappings. In this paper, a more general form of iterative algorithm is introduced which is proved to be strongly convergent to common fixed point of infinite nonexpansive mappings in a real strictly convex and uniformly smooth Banach space by using some new techniques.
  • Keywords
    Banach spaces; iterative methods; Banach space; common fixed points; infinite nonexpansive mapping; iterative algorithm; Convergence; Cybernetics; Hilbert space; Iterative algorithms; Machine learning; Mathematics; Signal mapping; Signal processing; Signal processing algorithms; Statistics; Banach space; Iterative algorithm; Nonexpansive mappings; fixed points;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620790
  • Filename
    4620790