A Conjugate Gradient Method with Global Convergence for Large-Scale Unconstrained Optimization Problems

The conjugate gradient (CG) method has played a special role in solving large-scale nonlinear optimization problems due to the simplicity of their very low memory requirements. This paper proposes a conjugate gradient method which is similar to Dai-Liao conjugate gradient method (Dai and Liao, 2001)...

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Bibliographic Details
Main Authors: Shengwei Yao, Xiwen Lu, Zengxin Wei
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/730454