@Article{EAJAM-11-2, author = {P., Mtagulwa and P., Kaelo}, 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 = {

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.

}, issn = {2079-7370}, doi = {https://doi.org/10.4208/eajam.140720.251220}, url = {https://global-sci.com/article/82510/an-efficient-mixed-conjugate-gradient-method-for-solving-unconstrained-optimisation-problems} }