Publications in Math-Net.Ru
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Analogues of the relative strong convexity condition for relatively smooth problems and adaptive gradient-type methods
Computer Research and Modeling, 15:2 (2023), 413–432
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Adaptive first-order methods for relatively strongly convex optimization problems
Computer Research and Modeling, 14:2 (2022), 445–472
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Numerical Methods for Some Classes of Variational Inequalities with Relatively Strongly Monotone Operators
Mat. Zametki, 112:6 (2022), 879–894
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Mirror descent for constrained optimization problems with large subgradient values of functional constraints
Computer Research and Modeling, 12:2 (2020), 301–317
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Adaptive mirror descent algorithms for convex and strongly convex optimization problems with functional constraints
Diskretn. Anal. Issled. Oper., 26:3 (2019), 88–114
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An adaptive proximal method for variational inequalities
Zh. Vychisl. Mat. Mat. Fiz., 59:5 (2019), 889–894
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