A globally convergent gradient-like method based on the Armijo line search
Optimization and Control
2021-05-11 v2
Abstract
In this paper, a new conjugate gradient-like algorithm is proposed to solve unconstrained optimization problems. The step directions generated by the new algorithm satisfy sufficient descent condition independent of the line search. The global convergence of the new algorithm, with the Armijo backtracking line search, is proved. Numerical experiments indicate the efficiency and robustness of the new algorithm.
Cite
@article{arxiv.1904.06321,
title = {A globally convergent gradient-like method based on the Armijo line search},
author = {Ahmad Kamandi and Keyvan Amini},
journal= {arXiv preprint arXiv:1904.06321},
year = {2021}
}
Comments
the paper is accepted in the Journal of Mathematical Modeling. https://jmm.guilan.ac.ir/article_4760.html