@Article{EAJAM-11-421,
author = {Mtagulwa , P. and Kaelo , P.},
title = {An Efficient Mixed Conjugate Gradient Method for Solving Unconstrained Optimisation Problems},
journal = {East Asian Journal on Applied Mathematics},
year = {2021},
volume = {11},
number = {2},
pages = {421--434},
abstract = {<p style="text-align: justify;">Conjugate gradient algorithms are most commonly used to solve large scale
unconstrained optimisation problems. They are simple and do not require the computation and/or storage of the second derivative information about the objective function.
We propose a new conjugate gradient method and establish its global convergence under
suitable assumptions. Numerical examples demonstrate the efficiency and effectiveness
of our method.</p>},
issn = {2079-7370},
doi = {https://doi.org/10.4208/eajam.140720.251220},
url = {http://global-sci.org/intro/article_detail/eajam/18642.html}
}