Journal of Jilin University Science Edition

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A Modified Conjugate Gradient Method forUnconstrained Optimization

SUN Zhongbo1,2, ZHU Yingjie3, ZHU Zhenchao2, GAO Haiyin1   

  1. 1. Department of Mathematical Education, College of Humanities and Sciences of Northeast Normal University,Changchun 130117, China;
    2. College of Communication Engineering, Jilin University, Changchun 130012, China;
    3. College of Science, Changchun University, Changchun 130022, China
  • Received:2013-09-05 Online:2014-05-26 Published:2014-08-27
  • Contact: GAO Haiyin E-mail:gaohaiyinhealthy@163.com

Abstract:

A modified conjugate gradient method for unconstrained optimization was proposed. The direction is sufficient descent at each iteration. Under some suitable conditions, the method is global convergence. Numerical results show that these methods are feasible and effective.

Key words: conjugate gradient method, global convergence, unconstrained optimization, sufficient descent direction

CLC Number: 

  • O224