عنوان المقالة: New Investigation for the Liu-Story Scaled Conjugate Gradient Method for Nonlinear Optimization
رنا زيدان يونس الكواز | Rana Z. Al-Kawaz | 4547
Publication Type
Journal
Arabic Authors
English Authors
Eman T. Hamed, Rana Z. Al-Kawaz, Abbas Y. Al-Bayati
Abstract
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.
Publication Date
1/25/2020
Publisher
Journal of Mathematics
Volume No
2020
Issue No
ISSN/ISBN
2314-4785
DOI
10.1155/2020/3615208
External Link
https://www.hindawi.com/journals/jmath/2020/3615208/
Keywords
.conjugate gradient; Li and Fukushima; descent condition; global convergent; unconstrained optimization
رجوع