A relaxed nonmonotone adaptive trust region method for solving unconstrained optimization problems
作者： M. Reza Peyghami , D. Ataee Tarzanagh
DOI: 10.1007/S10589-015-9726-8
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摘要: In this paper, we present a new relaxed nonmonotone trust region method with adaptive radius for solving unconstrained optimization problems. The proposed combines technique modified version of the strategy by Shi and Guo (J Comput Appl Math 213:509---520, 2008). Under some suitable standard assumptions, establish global convergence property as well superlinear rate method. Numerical results on test problems show efficiency effectiveness in practice.
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