摘要
为了求解无约束优化问题,提出了一种新的共轭梯度法,并证明了其在适当的条件下满足全局收敛性.初步的数值结果表明新的共轭梯度法是有效的.
A new conjugate gradient (CG) method is established to solve unconstrained optimization problems. And its global convergence property is proved under some suitable conditions. Preliminary numerical result shows that the new CG method is efficient.
出处
《广西大学学报(自然科学版)》
CAS
CSCD
2007年第4期336-340,共5页
Journal of Guangxi University(Natural Science Edition)
基金
China NSF grants(10761001)
关键词
共轭梯度法
无约束优化问题
全局收敛
conjugate gradient method
unconstrained optimization
global convergence