Rémi Chan-Renous-Legoubin, Clément W. Royer. A nonlinear conjugate gradient method with complexity guarantees and its application to nonconvex regression. EURO J. Computational Optimization, 10:100044, 2022. [doi]
@article{Chan-Renous-Legoubin22,
title = {A nonlinear conjugate gradient method with complexity guarantees and its application to nonconvex regression},
author = {Rémi Chan-Renous-Legoubin and Clément W. Royer},
year = {2022},
doi = {10.1016/j.ejco.2022.100044},
url = {https://doi.org/10.1016/j.ejco.2022.100044},
researchr = {https://researchr.org/publication/Chan-Renous-Legoubin22},
cites = {0},
citedby = {0},
journal = {EURO J. Computational Optimization},
volume = {10},
pages = {100044},
}