@article {10.3844/jcssp.2021.598.609,
article_type = {journal},
title = {A New Spectral Conjugate Gradient Method for
Nonlinear Unconstrained Optimization},
author = {Masmali, Ibtisam A. and Salleh, Zabidin and Alhawarat, Ahmad},
volume = {17},
number = {6},
year = {2021},
month = {Jul},
pages = {598-609},
doi = {10.3844/jcssp.2021.598.609},
url = {https://thescipub.com/abstract/jcssp.2021.598.609},
abstract = {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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}