عنوان المقالة:A Conjugate Gradient Method with Inexact Line Search for Unconstrained Optimization
محمد احمد حموده | Mohamed Ahmed Hamoda | 19987
نوع النشر
مجلة علمية
المؤلفون بالعربي
Mohamed Hamoda, Mohd Rivaie, Mustafa Mamat, Zabidin Salleh
الملخص العربي
In this paper, an efficient nonlinear modified PRP conjugate gradient method is presented for solving large-scale unconstrained optimization problems. The sufficient descent property is satisfied under strong Wolfe-Powell (SWP) line search by restricting the parameter segma < 1/ 4 . The global convergence result is established under the (SWP) line search conditions. Numerical results, for a set consisting of 133 unconstrained optimization test problems, show that this method is better than the PRP method and the FR method.
تاريخ النشر
07/03/2015
الناشر
Applied Mathematical Sciences
رقم المجلد
9
رقم العدد
37
رابط DOI
http://dx.doi.org/10.12988/ams.2015.411995
الصفحات
1823-1832
رابط الملف
تحميل (627 مرات التحميل)
رابط خارجي
http://www.m-hikari.com/ams/ams-2015/ams-37-40-2015/411995.html
الكلمات المفتاحية
Conjugate gradient coefficient, Inexact line Search, Strong Wolfe– Powell line search, global conver
رجوع