A new hybrid conjugate gradient algorithm for unconstrained optimization
نویسندگان
چکیده مقاله:
In this paper, a new hybrid conjugate gradient algorithm is proposed for solving unconstrained optimization problems. This new method can generate sufficient descent directions unrelated to any line search. Moreover, the global convergence of the proposed method is proved under the Wolfe line search. Numerical experiments are also presented to show the efficiency of the proposed algorithm, especially for solving highly dimensional problems.
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عنوان ژورنال
دوره 43 شماره 6
صفحات 2067- 2084
تاریخ انتشار 2017-11-30
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