@Article{JCM-13-2,
author = {Yuan, Ya-Xiang and Richard, H., Byrd},
title = {Non-Quasi-Newton Updates for Unconstrained Optimization},
journal = {Journal of Computational Mathematics},
year = {1995},
volume = {13},
number = {2},
pages = {95--107},
abstract = {<p style="text-align: justify;">In this report we present some new numerical methods for unconstrained optimization. These methods apply update formulae that do not satisfy the quasi-Newton equation. We derive these new formulae by considering different techniques of approximating the objective function. Theoretical analyses are given to show the advantages of using non-quasi-Newton updates. Under mild conditions we prove that our new update formulae preserve global convergence properties. Numerical results are also presented.</p>},
issn = {1991-7139},
doi = {https://doi.org/1995-JCM-9253},
url = {https://global-sci.com/article/85809/non-quasi-newton-updates-for-unconstrained-optimization}
}