31 citations to https://www.mathnet.ru/rus/zvmmf10598
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D. Dvinskikh, A. Gasnikov, “Decentralized and parallel primal and dual accelerated methods for stochastic convex programming problems”, J. Inverse Ill-Posed Probl., 29:3 (2021), 385–405
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F. Stonyakin, A. Tyurin, A. Gasnikov, P. Dvurechensky, A. Agafonov, D. Dvinskikh, M. Alkousa, D. Pasechnyuk, S. Artamonov, V. Piskunova, “Inexact model: a framework for optimization and variational inequalities”, Optim. Method Softw., 36:6 (2021), 1155–1201
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D. Kamzolov, P. Dvurechensky, V A. Gasnikov, “Universal intermediate gradient method for convex problems with inexact oracle”, Optim. Method Softw., 36:6 (2021), 1289–1316
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A. Ivanova, P. Dvurechensky, A. Gasnikov, D. Kamzolov, “Composite optimization for the resource allocation problem”, Optim. Method Softw., 36:4 (2021), 720–754
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C. A. Uribe, S. Lee, A. Gasnikov, A. Nedic, “A dual approach for optimal algorithms in distributed optimization over networks”, Optim. Method Softw., 36:1 (2021), 171–210
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Е. А. Воронцова, А. В. Гасников, П. Е. Двуреченский, А. С. Иванова, Д. А. Пасечнюк, “Численные методы для задачи распределения ресурсов в компьютерной сети”, Ж. вычисл. матем. и матем. физ., 61:2 (2021), 312–344 ; E. A. Vorontsova, A. V. Gasnikov, P. E. Dvurechenskii, A. S. Ivanova, D. A. Pasechnyuk, “Numerical methods for the resource allocation problem in a computer network”, Comput. Math. Math. Phys., 61:2 (2021), 297–328
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A. Birjukov, A. Chernov, Communications in Computer and Information Science, 1514, Advances in Optimization and Applications, 2021, 3
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А. И. Тюрин, “Прямо-двойственный быстрый градиентный метод с моделью”, Компьютерные исследования и моделирование, 12:2 (2020), 263–274
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C. A. Uribe, S. Lee, A. Gasnikov, A. Nedic, “A dual approach for optimal algorithms in distributed optimization over networks”, 2020 Information Theory and Applications Workshop, ITA, IEEE, 2020
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Cesar A. Uribe, Soomin Lee, Alexander Gasnikov, Angelia Nedic, 2020 Information Theory and Applications Workshop (ITA), 2020, 1