عنوان المقالة: New Hybrid Conjugate Gradient Method with Global Convergence Properties for Unconstrained Optimization

محمد احمد حموده | Mohamed Ahmed Hamoda | 19596

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Publication Type

Journal

Arabic Authors

English Authors

Yasir Salih, Mohamed Ahmed Hamoda, Mohd Rivaie

Abstract

Nonlinear conjugate gradient (CG) method holds an important role in solving large-scale unconstrained optimization problems. In this paper, we suggest a new modification of CG coefficient that satisfies sufficient descent condition and possesses global convergence property under strong Wolfe line search. The numerical results show that our new method is more efficient compared with other CG formulas tested

Publication Date

6/29/2018

Publisher

Malaysian Journal of computing and applied mathematics (MyJCAM)

Volume No

1

Issue No

1

DOI

https://doi.org/10.37231/myjcam.2018.1.1.15

Pages

29-38

File Link

تحميل (0 مرات التحميل)

Keywords

unconstrained optimization, global convergence, large-scale, conjugate gradient method, strong Wolfe line search