Journal of Jilin University Science Edition

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Global Convergence of a Class of SufficientDescent Conjugate Gradient Methods

LIN Suihua   

  1. College of Mathematics and Computer Science, Guangxi Normal University for Nationalities, Chongzuo 532200, Guangxi Zhuang Autonomous Region, China
  • Received:2016-09-02 Online:2017-07-26 Published:2017-07-13
  • Contact: LIN Suihua E-mail:linsuihuah@163.com

Abstract: The author presented a class of new conjugate gradient methods with conservative strategy in search direction. The global convergence results of these algorithms were obtained under the condition of general assumptions, and the numerical experiment results of these algorithms were given. The results show that the corresponding algorithms are sufficient descent in the case of the strong Wolfe inexact line search parameters σ<1/4,1/3,1/2, respectively. The new algorithm is suitable for solving largescale unconstrained optimization problems.

Key words: sufficient descent property, global convergence, conjugate gradient method, strong Wolfe inexact line search, unconstrained optimization

CLC Number: 

  • O224.2