@article{Zhang2026, 
author = {Wen Zhang and Tingting Guo and Junfeng Wu and Zhousheng Ruan and Shufang Qiu},
title = {A modified BFGS quasi-Newton method with Wolfe line search for unconstrained optimization},
year = {2026},
journal = {AIMS Mathematics},
volume = {11},
number = {1},
pages = {767-784},
keywords = {nonlinear equations, quasi-Newton method, BFGS, Wolfe line search, convergence},
url = {https://www.sciopen.com/article/10.3934/math.2026033},
doi = {10.3934/math.2026033},
abstract = {In this article, we construct a modified BFGS quasi-Newton method with Wolfe line search to solve a nonlinear equations. Firstly, we propose a new quasi-Newton secant equation and the corresponding practical implementation algorithm by combining the classic BFGS with the strong Wolfe conditions. Furthermore, the local and superlinear rate of convergence of the modified quasi-Newton updates are derived theoretically. Lastly, numerical examples illustrate the effectiveness and stability of the proposed method.}
}