کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4628597 1631829 2013 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A nonmonotone trust region method based on simple conic models for unconstrained optimization
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
A nonmonotone trust region method based on simple conic models for unconstrained optimization
چکیده انگلیسی

A new nonmonotone trust region algorithm with simple conic models for unconstrained optimization is proposed. Compared to traditional conic trust region methods, the new method needs less memory capacitance and computational complexity. The global convergence and fast local convergence rate of the proposed algorithm are established under some reasonable conditions. Numerical tests indicate that the new algorithm is efficient and robust.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 225, 1 December 2013, Pages 295–305
نویسندگان
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