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Publications in Math-Net.Ru |
Citations |
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2025 |
| 1. |
O. S. Savchuk, M. S. Alkousa, A. I. Shushko, A. A. Vyguzov, F. S. Stonyakin, D. A. Pasechnyuk, A. V. Gasnikov, “Accelerated Bregman gradient methods for relatively smooth and relatively Lipschitz continuous minimization problems”, Uspekhi Mat. Nauk, 80:6(486) (2025), 137–172  |
| 2. |
O. S. Savchuk, F. S. Stonyakin, A. A. Vyguzov, M. S. Alkousa, A. V. Gasnikov, “Adaptive primal-dual methods with an inexact oracle for relatively smooth optimization problems and their applications to recovering low-rank matrices”, Zh. Vychisl. Mat. Mat. Fiz., 65:7 (2025), 1156–1177  ; Comput. Math. Math. Phys., 65:7 (2025), 1605–1627 |
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2024 |
| 3. |
O. S. Savchuk, M. S. Alkousa, F. S. Stonyakin, “On some mirror descent methods for strongly convex programming problems with Lipschitz functional constraints”, Computer Research and Modeling, 16:7 (2024), 1727–1746 |
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2023 |
| 4. |
F. S. Stonyakin, O. S. Savchuk, I. V. Baran, M. S. Alkousa, A. A. Titov, “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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2022 |
| 5. |
O. S. Savchuk, A. A. Titov, F. S. Stonyakin, M. S. Alkousa, “Adaptive first-order methods for relatively strongly convex optimization problems”, Computer Research and Modeling, 14:2 (2022), 445–472 |
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