A Sufficient Descent Hybrid Conjugate Gradient Method and Its Global Convergence for Unconstrained Optimization

摘要：

In this paper, a modi.ed hybrid conjugate gradient method is proposed for solving unconstrained optimization problems and a new suf.cient descent direction is proposed.The theoretical analysis shows that the algorithm is global convergence under some suitable conditions. Numerical results show that this algorithm is effective in unconstrained optimization problems.

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

作者: Zhongbo Sun Tianxiao Zhu Haiyin Gao

作者单位: Department of Mathematical Education, Collegeof Humanities and Sciences of Northeast Normal Universi Department of Mathematicsand Applied Mathematics, Changchun University, Changchun, 6543, China Department of Mathematics and Applied Mathematics, Changchun University, Changchun, 6543, China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 735-739

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）