• Title of article

    A modified CG-DESCENT method for unconstrained optimization

  • Author/Authors

    Dai، نويسنده , , Zhifeng and Wen، نويسنده , , Fenghua، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    10
  • From page
    3332
  • To page
    3341
  • Abstract
    Recently, Hager and Zhang (2005) [11] proposed a new conjugate gradient method which generates sufficient descent direction g k T d k ≤ − 7 / 8 ‖ g k ‖ 2 , this property is independent of the line search used. In this paper, we take a modification of this method, such that the sufficient descent direction satisfies g k T d k = − ‖ g k ‖ 2 , this property is also independent of the line search used. Under appropriate conditions, we prove that the proposed method is globally convergent. Moreover, we give a sufficient condition for the global convergence of the proposed general method. The numerical results show that the proposed method is efficient.
  • Keywords
    Sufficient descent property , global convergence , Unconstrained optimization , conjugate gradient method
  • Journal title
    Journal of Computational and Applied Mathematics
  • Serial Year
    2011
  • Journal title
    Journal of Computational and Applied Mathematics
  • Record number

    1556219