عنوان المقالة:A Conjugate Gradient Method With Strong Wolfe–Powell Line Search For Unconstrained Optimization
محمد احمد حموده | Mohamed Ahmed Hamoda | 19929
- نوع النشر
- مجلة علمية
- المؤلفون بالعربي
- Mohamed Hamoda, Mustafa Mamat, Mohd Rivaie, Zabidin Salleh
- الملخص العربي
- In this paper, a modified conjugate gradient method is presented for solving large-scale unconstrained optimization problems, which possesses the sufficient descent property with Strong Wolfe-Powell line search. A global convergence result was proved when the (SWP) line search was used under some conditions. Computational results for a set consisting of 138 unconstrained optimization test problems showed that this new conjugate gradient algorithm seems to converge more stable and is superior to other similar methods in many situations.
- تاريخ النشر
- 08/03/2016
- الناشر
- APPLIED MATHEMATICAL SCIENCES
- رقم المجلد
- 10
- رقم العدد
- 15
- رابط DOI
- http://dx.doi.org/10.12988/ams.2016.56449
- الصفحات
- 721-734
- رابط الملف
- تحميل (627 مرات التحميل)
- رابط خارجي
- http://www.m-hikari.com/ams/ams-2016/ams-13-16-2016/56449.html
- الكلمات المفتاحية
- conjugate gradient coefficient, inexact line search, strong Wolfe– Powell line search, global conv