Acta mathematica scientia,Series A ›› 2013, Vol. 33 ›› Issue (1): 78-88.

• Articles • Previous Articles     Next Articles

A New Nonmonotone Spectral Conjugate Gradient Algorithm

 HU Chao-Ming, WAN Zhong, WANG Xu   

  1. School of Mathematics and Statistics, Central South University, Changsha 410083
  • Received:2011-05-15 Revised:2012-10-25 Online:2013-02-25 Published:2013-02-25
  • Supported by:

    国家自然科学基金(71071162, 70921001)资助

Abstract:

In this paper, a new spectral conjugate gradient method is proposed. By introducing a hybrid coefficient, the conjugacy parameter is determined based on the combination of PRP and HS methods. Then, a spectral parameter is appropriately chosen such that each search direction is a sufficiently descent direction independent of the employed line search techniques. On the other hand, the  nonmonotone line search technique proposed by Zhang and Hager is modified, and under more mild assumptions, the global convergence of the developed algorithm is proved. Numerical experiments are  employed to demonstrate the efficiency of the algorithm.

Key words: Spectral conjugate gradient method, Nonmonotone line search, Unconstrained optimization, Global convergence

CLC Number: 

  • 90C30
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