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A Nonmonotone Line Search combination algorithm for unconstrained optimization problems

Ping Hu, Xiaocai Wang

In this paper we propose a nonmonotone line search combination rule for unconstrained optimization problems and show that it possesses the global convergence property. We establish the corresponding algorithm and illustrate its effectiveness by virtue of some numerical tests. Simulation results indicate that the proposed method is very effective