42 citations to https://www.mathnet.ru/rus/zvmmf10659
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Elena Tovbis, Vladimir Krutikov, Predrag Stanimirović, Vladimir Meshechkin, Aleksey Popov, Lev Kazakovtsev, “A Family of Multi-Step Subgradient Minimization Methods”, Mathematics, 11:10 (2023), 2264
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E. L. Gladin, E. D. Borodich, “Variance reduction for minimax problems with a small dimension of one of the variables”, Компьютерные исследования и моделирование, 14:2 (2022), 257–275
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Pavel Dvurechensky, Dmitry Kamzolov, Aleksandr Lukashevich, Soomin Lee, Erik Ordentlich, César A. Uribe, Alexander Gasnikov, “Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization”, EURO Journal on Computational Optimization, 10 (2022), 100045
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Fedor Stonyakin, Alexander Gasnikov, Pavel Dvurechensky, Alexander Titov, Mohammad Alkousa, “Generalized Mirror Prox Algorithm for Monotone Variational Inequalities: Universality and Inexact Oracle”, J Optim Theory Appl, 194:3 (2022), 988
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Vladimir Krutikov, Svetlana Gutova, Elena Tovbis, Lev Kazakovtsev, Eugene Semenkin, “Relaxation Subgradient Algorithms with Machine Learning Procedures”, Mathematics, 10:21 (2022), 3959
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Т. А. Звонарева, О. И. Криворотько, “Сравнительный анализ градиентных методов определения источника диффузионно-логистической модели”, Ж. вычисл. матем. и матем. физ., 62:4 (2022), 694–704 ; T. A. Zvonareva, O. I. Krivorot'ko, “Comparative analysis of gradient methods for source identification in a diffusion-logistic model”, Comput. Math. Math. Phys., 62:4 (2022), 674–684
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Darina Dvinskikh, Vladislav Tominin, Iaroslav Tominin, Alexander Gasnikov, Lecture Notes in Computer Science, 13367, Mathematical Optimization Theory and Operations Research, 2022, 18
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Eduard Gorbunov, Alexander Rogozin, Aleksandr Beznosikov, Darina Dvinskikh, Alexander Gasnikov, Springer Optimization and Its Applications, 191, High-Dimensional Optimization and Probability, 2022, 253
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Е. В. Котлярова, А. В. Гасников, Е. В. Гасникова, Д. В. Ярмошик, “Поиск равновесий в двухстадийных моделях распределения транспортных потоков по сети”, Компьютерные исследования и моделирование, 13:2 (2021), 365–379
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P. Dvurechensky, Sh. Shtern, M. Staudigl, “First-order methods for convex optimization”, EURO J. Comput. Optim., 9 (2021), 100015