Savchuk Oleg S.

Publications in Math-Net.Ru

1. Accelerated Bregman gradient methods for relatively smooth and relatively Lipschitz continuous minimization problems
   
   Uspekhi Mat. Nauk, 80:6(486) (2025),  137–172
2. 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
3. On some mirror descent methods for strongly convex programming problems with Lipschitz functional constraints
   
   Computer Research and Modeling, 16:7 (2024),  1727–1746
4. Neural networks - on awarding the Nobel Prize in Physics 2024
   
   Taurida Journal of Computer Science Theory and Mathematics, 2024, no. 4,  34–48
5. 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
6. Adaptive first-order methods for relatively strongly convex optimization problems
   
   Computer Research and Modeling, 14:2 (2022),  445–472