عنوان المقالة:New A hybrid Hestenes-Stiefel and Dai-Yuan conjugate gradient algorithms for unconstrained optimization
هشام محمد خضر | Hisham | 8847
- 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