A nonlinear conjugate gradient method with complexity guarantees and its application to nonconvex regression - Archive ouverte HAL Access content directly
Journal Articles EURO Journal on Computational Optimization Year : 2022

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hal-03866347 , version 1 (22-11-2022)

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Rémi Chan--Renous-Legoubin, Clément Royer. A nonlinear conjugate gradient method with complexity guarantees and its application to nonconvex regression. EURO Journal on Computational Optimization, 2022, 10, pp.100044. ⟨10.1016/j.ejco.2022.100044⟩. ⟨hal-03866347⟩
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