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Publications in Math-Net.Ru
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Subgradient methods for weakly convex problems with a sharp minimum in the case of inexact information about the function or subgradient
Computer Research and Modeling, 16:7 (2024), 1765–1778
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On some works of Boris Teodorovich Polyak on the convergence of gradient methods and their development
Zh. Vychisl. Mat. Mat. Fiz., 64:4 (2024), 587–626
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Subgradient methods for weakly convex and relatively weakly convex problems with a sharp minimum
Computer Research and Modeling, 15:2 (2023), 393–412
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Adaptive Subgradient Methods for Mathematical Programming Problems with Quasiconvex Functions
Trudy Inst. Mat. i Mekh. UrO RAN, 29:3 (2023), 7–25
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On mirror descent methods for some types of composite optimization problems with functional constraints
Taurida Journal of Computer Science Theory and Mathematics, 2023, no. 3, 7–18
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Subgradient methods for non-smooth optimization problems with some relaxation of sharp minimum
Computer Research and Modeling, 14:2 (2022), 473–495
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Adaptive gradient-type methods for optimization problems with relative error and sharp minimum
Trudy Inst. Mat. i Mekh. UrO RAN, 27:4 (2021), 175–188
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