• DocumentCode
    3209252
  • Title

    Convergence of modified conjugate gradient methods without line search

  • Author

    Zhang, Bo

  • Author_Institution
    Feixian Sch., Linyi Normal Univ., Linyi, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 Sept. 2010
  • Firstpage
    328
  • Lastpage
    331
  • Abstract
    In this paper, a class of modified conjugate gradient methods are proposed, which have the following attractive properties: (1) the step length is determined by a formula; (2) the iterative direction is always a sufficient descent direction without utilizing the line search. Under the boundedness of the level set and the Lipschitz continuity of the underlying function, the proposed methods are global convergent. Some numerical results are given to illustrate the effectiveness of the proposed methods.
  • Keywords
    conjugate gradient methods; convergence of numerical methods; optimisation; set theory; Lipschitz function continuity; conjugate gradient methods; convergence; iterative direction; level set; line search; step length;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7705-0
  • Type

    conf

  • DOI
    10.1109/CINC.2010.5643723
  • Filename
    5643723