摘要
将具有某种性质的一类共轭梯度法与一种Armijo型线搜索方法相结合,得到了一类新的共轭梯度算法,证明了这类新算法是全局收敛的,PRP方法为其一个特例。数值试验表明,新算法是有效的。
Conjugate gradient methods with a certain kind of Property under an Armijo-type line search were investigated.These methods include the well-known PRP method as a special case,and the global convergence of the methods is proved.Preliminary numerical results show that these methods are efficient.
出处
《山东大学学报(理学版)》
CAS
CSCD
北大核心
2010年第5期101-105,110,共6页
Journal of Shandong University(Natural Science)
关键词
无约束优化
PRP共轭梯度法
ARMIJO型线搜索
全局收敛
unconstrained optimization
the Polak-Ribière-Polyak conjugate gradient method
Armijo-type line search
global convergence