A Hybrid of DL and WYL Nonlinear Conjugate Gradient Methods

Shengwei Yao and Bin Qin

Abstract and Applied Analysis, 2014, vol. 2014, 1-9

Abstract:

The conjugate gradient method is an efficient method for solving large-scale nonlinear optimization problems. In this paper, we propose a nonlinear conjugate gradient method which can be considered as a hybrid of DL and WYL conjugate gradient methods. The given method possesses the sufficient descent condition under the Wolfe-Powell line search and is globally convergent for general functions. Our numerical results show that the proposed method is very robust and efficient for the test problems.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:279891

DOI: 10.1155/2014/279891

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