Two Hybrid Conjugate Gradient Method and Its Global Convergence for Unconstrained Optimization

摘要：

In this paper, we propose two hybrid conjugate gradient methods, which produce sufficient descent direction at every iteration. The theoretical analysis shows that the algorithm is global convergence under some suitable conditions. The numerical results show that both hybrid algorithms are efficient for the given test problems from the Matlab library.

关键词： Hybrid conjugate gradient method Unconstrained optimization Sufficient descent direction

作者: Zhongbo Sun

作者单位: Department of Mathematical Education, College of Humanities and Sciences of Northeast Normal University, Boshuo Road 1488, Changchun, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 828-832

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）