Spectral projected subgradient method for nonsmooth convex optimization problems
Author:
Funder
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s11075-022-01419-3.pdf
Reference28 articles.
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2. Bagirov, A., Karmitsa, N., Mäkelä, M.: Introduction to Nonsmooth Optimization. Springer, Berlin (2014). https://doi.org/10.1007/978-3-319-08114-4
3. Bastin, F., Cirillo, C., Toint, P.L.: An adaptive Monte Carlo algorithm for computing mixed logit estimators. Comput. Manag. Sci. 3(1), 55–79 (2006). https://doi.org/10.1007/s10287-005-0044-y
4. Bellavia, S., Krejić, N., Krklec Jerinkić, N.: Subsampled Inexact Newton methods for minimizing large sums of convex function. IMA J. Numer. Anal. 40(4), 2309–2341 (2018). https://doi.org/10.1093/imanum/drz027
5. Bellavia, S., Jerinkić, N.K., Malaspina, G.: Subsampled nonmonotone spectral gradient methods. Commun. Appl. Ind. Math. 11(1), 19–34 (2020). https://doi.org/10.2478/caim-2020-0002
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