کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4636337 | 1340722 | 2007 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A descent nonlinear conjugate gradient method for large-scale unconstrained optimization
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A descent nonlinear conjugate gradient method for large-scale unconstrained optimization A descent nonlinear conjugate gradient method for large-scale unconstrained optimization](/preview/png/4636337.png)
چکیده انگلیسی
In this paper, a new nonlinear conjugate gradient method was proposed for large-scale unconstrained optimization which possesses the following three properties: (i) the sufficient descent property holds without any line searches; (ii) employing some steplength technique which ensures the Zoutendijk condition to be held, this method is globally convergent; (iii) this method inherits an important property of the Polak–Ribière–Polyak (PRP) method: the tendency to turn towards the steepest descent direction if a small step is generated away from the solution, preventing a sequence of tiny steps from happening. Preliminary numerical results show that this method is very promising.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 187, Issue 2, 15 April 2007, Pages 636–643
Journal: Applied Mathematics and Computation - Volume 187, Issue 2, 15 April 2007, Pages 636–643
نویسندگان
Gaohang Yu, Yanlin Zhao, Zengxin Wei,