The global convergence of a new mixed conjugate gradient method for unconstrained optimization

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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. © 2012 Yang Yueting and Cao Mingyuan.

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Yueting, Y., & Mingyuan, C. (2012). The global convergence of a new mixed conjugate gradient method for unconstrained optimization. Journal of Applied Mathematics, 2012. https://doi.org/10.1155/2012/932980

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