J4 ›› 2012, Vol. 50 ›› Issue (03): 457-.

Previous Articles     Next Articles

A New Hybrid Conjugate Gradient Method forUnconstrained Optimization

GAO Haiyin1, ZHU Tianxiao1, XU Chunling2   

  1. 1. Department of Applied Mathematics and Mathematics, Changchun University, Changchun 130022, China|2. School ofInformation Technology, College of Humanities and Sciences of Northeast Normal University, Changchun 130117, China
  • Received:2011-04-11 Online:2012-05-26 Published:2012-05-28
  • Contact: GAO Haiyin E-mail:gaohaiyinhealthy@yahoo.com.cn

Abstract:

We proposed a new hybrid conjugate gradient method. It does not need to use Wolfe line search to guarantee the global convergence. An initial selfadaptive step size and sufficient descents are obtained to the function at each iteration. Numerical results show that the method is feasible and effective.

Key words: conjugate gradient method, global convergence, unconstrained optimization

CLC Number: 

  • O224.2