Two New Conjugate Gradient Methods for Unconstrained Optimization

The conjugate gradient method is very effective in solving large-scale unconstrained optimal problems. In this paper, on the basis of the conjugate parameter of the conjugate descent (CD) method and the second inequality in the strong Wolfe line search, two new conjugate parameters are devised. Usin...

Full description

Bibliographic Details
Main Authors: Meixing Liu, Guodong Ma, Jianghua Yin
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/9720653