A New Descent Nonlinear Conjugate Gradient Method for Unconstrained Optimization  

作　　者：Hao Fan Zhibin Zhu Anwa Zhou 

机构地区：[1]不详

出　　处：《Applied Mathematics》2011年第9期1119-1123,共5页应用数学（英文）

摘　　要：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.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.

关 键 词：Large Scale UNCONSTRAINED Optimization CONJUGATE Gradient Method SUFFICIENT DESCENT Property Globally CONVERGENT 

分 类 号：O22[理学—运筹学与控制论]