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Articles

Stochastic analysis of an adaptive cubic regularization method under inexact gradient evaluations and dynamic Hessian accuracy

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Pages 227-261 | Received 28 Jan 2020, Accepted 13 Jan 2021, Published online: 28 Feb 2021

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Stefania Bellavia , Benedetta Morini  & Simone Rebegoldi. (2022) On the Convergence Properties of a Stochastic Trust-Region Method with Inexact Restoration. Axioms 12:1, pages 38.
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S. Bellavia, E. Fabrizi & B. Morini. (2022) Linesearch Newton-CG methods for convex optimization with noise. ANNALI DELL'UNIVERSITA' DI FERRARA 68:2, pages 483-504.
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El Houcine Bergou, Youssef Diouane, Vladimir Kunc, Vyacheslav Kungurtsev & Clément W. Royer. (2022) A Subsampling Line-Search Method with Second-Order Results. INFORMS Journal on Optimization 4:4, pages 403-425.
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S. Bellavia, G. Gurioli, B. Morini & Ph.L. Toint. (2022) Trust-region algorithms: Probabilistic complexity and intrinsic noise with applications to subsampling techniques. EURO Journal on Computational Optimization 10, pages 100043.
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Stefania Bellavia, Gianmarco Gurioli, Benedetta Morini & Philippe L. Toint. (2021) Quadratic and Cubic Regularisation Methods with Inexact function and Random Derivatives for Finite-Sum Minimisation. Quadratic and Cubic Regularisation Methods with Inexact function and Random Derivatives for Finite-Sum Minimisation.
Stefania Bellavia, Tommaso Bianconcini, Nataša Krejić & Benedetta Morini. 2021. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging 1 35 .

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