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.