TITLE:
Global Convergence Property with Inexact Line Search for a New Hybrid Conjugate Gradient Method
AUTHORS:
Fanar N. Al-Namat, Ghada M. Al-Naemi
KEYWORDS:
Unconstrained Optimization, Hybrid, Conjugate Gradient
JOURNAL NAME:
Open Access Library Journal,
Vol.7 No.2,
February
11,
2020
ABSTRACT:
In this study, we derive a new scale parameter φ for the CG method, for solving large scale unconstrained optimization algorithms. The new scale parameter φ satisfies the sufficient descent condition, global convergence analysis proved under Strong Wolfe line search conditions. Our numerical results show that the proposed method is effective and robust against some known algorithms.