TY  - JOUR
AU  - Masmali, Ibtisam A. 
AU  - Salleh, Zabidin 
AU  - Alhawarat, Ahmad 
PY  - 2021
TI  - A New Spectral Conjugate Gradient Method for
Nonlinear Unconstrained Optimization
JF  - Journal of Computer Science
VL  - 17
IS  - 6
DO  - 10.3844/jcssp.2021.598.609
UR  - https://thescipub.com/abstract/jcssp.2021.598.609
AB  - Theconjugate gradient method is widely used to solve large scale unconstrainedoptimization problems. However, the rate of convergence conjugate gradient method is linearunless it restarted. In this study, we present a new spectral conjugategradient modification formula with restart property obtains the globalconvergence and descent properties.In addition, we proposed a new restart condition for Fletcher-Reeves conjugate gradient formula. The numerical resultsdemonstrated that the modified Fletcher-Reeves parameter and the new CG formulawith their restart conditions are more efficient and robustness than otherconventional methods.