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• W2236603166 abstract "We propose a nonlinear conjugate gradient method for unconstrained optimization based on solving a new optimization problem. Our optimization problem combines the good features of the linear conjugate gradient method using some penalty parameters. We show that the new method is a subclass of Dai–Liao family, the fact that enables us to analyze the family, closely. As a consequence, we obtain an optimal bound for Dai–Liao parameter. The global convergence of the new method is investigated under mild assumptions. Numerical results show that the new method is efficient and robust, and outperforms CG-DESCENT." @default.
• W2236603166 created "2016-06-24" @default.
• W2236603166 creator A5090322193 @default.
• W2236603166 date "2016-07-01" @default.
• W2236603166 modified "2023-09-27" @default.
• W2236603166 title "A new efficient conjugate gradient method for unconstrained optimization" @default.
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• W2236603166 doi "https://doi.org/10.1016/j.cam.2015.12.035" @default.
• W2236603166 hasPublicationYear "2016" @default.
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