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G. Yu, Y. Zhao and Z. Wei, “A Descent Nonlinear Conjugate Gradient Method for Large-Scale Unconstrained Optimization,” Applied Mathematics and Computation, Vol. 187, No. 2, 2007, pp. 636-643. doi:10.1016/j.amc.2006.08.087

has been cited by the following article:

• TITLE: A New Descent Nonlinear Conjugate Gradient Method for Unconstrained Optimization

  AUTHORS: Hao Fan, Zhibin Zhu, Anwa Zhou

  KEYWORDS: Large Scale Unconstrained Optimization, Conjugate Gradient Method, Sufficient Descent Property, Globally Convergent

  JOURNAL NAME: Applied Mathematics, Vol.2 No.9, September 19, 2011

  ABSTRACT: In this paper, a new nonlinear conjugate gradient method is proposed for large-scale unconstrained optimization. The sufficient descent property holds without any line searches. We use some steplength technique which ensures the Zoutendijk condition to be held, this method is proved to be globally convergent. Finally, we improve it, and do further analysis.