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• W2551707060 abstract "In this paper, we present a modified regularized Newton method for the unconstrained nonconvex optimization by using trust region technique. We show that if the gradient and Hessian of the objective function are Lipschitz continuous, then the modified regularized Newton method (M-RNM) has a global convergence property. Numerical results show that the algorithm is very efficient." @default.
• W2551707060 created "2016-11-30" @default.
• W2551707060 creator A5007312763 @default.
• W2551707060 creator A5066961140 @default.
• W2551707060 creator A5085331622 @default.
• W2551707060 date "2014-01-01" @default.
• W2551707060 modified "2023-09-24" @default.
• W2551707060 title "A MODIFIED REGULARIZED NEWTON METHOD FOR UNCONSTRAINED NONCONVEX OPTIMIZATION" @default.
• W2551707060 cites W1485207068 @default.
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• W2551707060 hasPublicationYear "2014" @default.
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