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.
"A Hybrid of DL and WYL Nonlinear Conjugate Gradient Methods." Abstr. Appl. Anal. 2014 (SI08) 1 - 9, 2014. https://doi.org/10.1155/2014/279891