عنوان المقالة: New Investigation for the Liu-Story Scaled Conjugate Gradient Method for Nonlinear Optimization
رنا زيدان يونس الكواز | Rana Z. Al-Kawaz | 4515
نوع النشر
مجلة علمية
المؤلفون بالعربي
المؤلفون بالإنجليزي
Eman T. Hamed, Rana Z. Al-Kawaz, Abbas Y. Al-Bayati
الملخص الانجليزي
This article considers modified formulas for the standard conjugate gradient (CG) technique that is planned by Li and Fukushima. A new scalar parameter for this CG technique of unconstrained optimization is planned. The descent condition and global convergent property are established below using strong Wolfe conditions. Our numerical experiments show that the new proposed algorithms are more stable and economic as compared to some well-known standard CG methods.
تاريخ النشر
25/01/2020
الناشر
Journal of Mathematics
رقم المجلد
2020
رقم العدد
ISSN/ISBN
2314-4785
رابط DOI
10.1155/2020/3615208
رابط خارجي
https://www.hindawi.com/journals/jmath/2020/3615208/
الكلمات المفتاحية
.conjugate gradient; Li and Fukushima; descent condition; global convergent; unconstrained optimization
رجوع