Abstract
We propose and generalize a new nonlinear conjugate gradient method for unconstrained optimization. The global convergence is proved with the Wolfe line search. Numerical experiments are reported which support the theoretical analyses and show the presented methods outperforming CGDESCENT method.
Citation
Yang Yueting. Cao Mingyuan. "The Global Convergence of a New Mixed Conjugate Gradient Method for Unconstrained Optimization." J. Appl. Math. 2012 1 - 14, 2012. https://doi.org/10.1155/2012/932980
Information
