scholarly journals A class of accelerated conjugate-gradient-like methods based on a modified secant equation

2020 ◽  
Vol 16 (3) ◽  
pp. 1503-1518
Author(s):  
Yigui Ou ◽  
◽  
Haichan Lin

Author(s):  
Yutao Zheng

In this paper, a new family of Dai-Liao--type conjugate gradient methods are proposed for unconstrained optimization problem. In the new methods, the modified secant equation used in [H. Yabe and M. Takano, Comput. Optim. Appl., 28: 203--225, 2004] is considered in Dai and Liao's conjugacy condition. Under some certain assumptions, we show that our methods are globally convergent for general functions with strong Wolfe line search. Numerical results illustrate that our proposed methods can outperform some existing ones.





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