عنوان المقالة:New A hybrid Hestenes-Stiefel and Dai-Yuan conjugate gradient algorithms for unconstrained optimization
هشام محمد خضر | Hisham | 8856
نوع النشر
مجلة علمية
المؤلفون بالعربي
Prof.Dr.Khalil K. Abbo , Hisham M. Khudhur
الملخص العربي
In this Research we developed a New Hybrid method of conjugate gradient type, this Method depends basically on combining Hestenes-Stiefel and Dai-Yuan algorithms by using spectral direction conjugate algorithm, which is developed by Yang Z & Kairong W [19]. The developed method becomes converged by assuming some hypothesis. The numerical results show the efficiency of the developed method for solving test Unconstrained Nonlinear Optimization problems.
تاريخ النشر
01/01/2016
الناشر
Tikrit Journal of Pure Science
رابط الملف
تحميل (158 مرات التحميل)
رابط خارجي
http://main.tu-jo.com/ojs/index.php/TJPS/article/view/34
الكلمات المفتاحية
A hybrid conjugate gradient algorithms for unconstrained optimization
رجوع