عنوان المقالة:A Conjugate Gradient Method with Inexact Line Search for Unconstrained Optimization
محمد احمد حموده | Mohamed Ahmed Hamoda | 19565
- 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