@article{MAKHILLJEAS2017121814824,
    title = {Hybrid Quasi-Newton and Conjugate Gradient Method for Solving Unconstrained Optimization Problems},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {12},
    number = {18},
    pages = {4627-4631},
    year = {2017},
    issn = {1816-949x},
    doi = {jeasci.2017.4627.4631},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2017.4627.4631},
    author = {Nurul,Nurul,Mustafa,Norhaslinda and},
    keywords = {Hybrid quasi-Newton,conjugate gradient,Armijo line search,hybrid methods,optimization,modified},
    abstract = {A hybrid of quasi-Newton and conjugate gradient method combines the search direction of the two methods to produce a new algorithm for solving unconstrained optimization functions. In this study, a modified hybrid Quasi-Newton method is presented where a new conjugate gradient coefficient is employed in the search direction. Based on the numerical results, the proposed hybrid method proved to be robust in comparison to the original quasi-Newton method and other hybrid methods.}
    }