Алкуса Мохаммад

Ilya Kuruzov, Mohammad Alkousa, Fedor Stonyakin, Alexander Gasnikov. Gradient-type methods for decentralized optimization problems with Polyak–Łojasiewicz condition over time-varying networks (2025) Optimization Methods and Software, 1–28. DOI Q2

Artem Vasin, Valery Krivchenko, Dmitry Kovalev, Fedyor Stonyakin, Nazari Tupitsa, Pavel Dvurechensky, Mohammad Alkousa, Nikita Kornilov, Alexander Gasnikov. On Solving Minimization and Min-Max Problems by First-Order Methods with Relative Error in Gradients (2025) 

Alkousa, M., Stonyakin, F., Gasnikov, A., Abdo, A., Alcheikh, M. Higher degree inexact model for optimization problems (2024) Chaos, Solitons and Fractals, 186, статья № 115292, . Scopus DOI Q1

Klimza, A., Gasnikov, A., Stonyakin, F., Alkousa, M. Universal methods for variational inequalities: Deterministic and stochastic cases (2024) Chaos, Solitons and Fractals, 187, статья № 115418, . Scopus DOI Q1

Gasnikov, A.V., Alkousa, M.S., Lobanov, A.V., Dorn, Y.V., Stonyakin, F.S., Kuruzov, I.A., Singh, S.R. On Quasi-Convex Smooth Optimization Problems by a Comparison Oracle (2024) Russian Journal of Nonlinear Dynamics, 20 (5), pp. 813-825. Scopus DOI  Q3

Savchuk, O., Puchinin, S., Stonyakin, F., Alkousa, M., Gasnikov, A. Numerical Methods for Variational Inequalities and Saddle Point Problems with Relative Inexact Information (2024) Communications in Computer and Information Science, 2239 CCIS, pp. 19-45. Scopus DOI Q4

O. S. Savchuk, M. S. Alkousa, A. S. 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 (2024)

Alkousa, M.S., Gasnikov, A.V., Gladin, E.L., Kuruzov, I.A., Pasechnyuk, D.A., Stonyakin, F.S. Solving strongly convex-concave composite saddle-point problems with low dimension of one group of variables (2023) Sbornik Mathematics, 214 (3), pp. 285-333. Scopus DOI Q2

Ablaev S.S., Stonyakin F.S., Alkousa M.S., Pasechnyk D.A. Adaptive Methods for Variational Inequalities with Relatively Smooth and Reletively Strongly Monotone Operators (2023) Programming and Computer Software, 49 (6), pp. 485 - 492 Scopus DOI Q3

Ablaev, S.S., Stonyakin, F.S., Alkousa, M.S., Gasnikov, A.V. Adaptive Subgradient Methods for Mathematical Programming Problems with Quasiconvex Functions (2023) Proceedings of the Steklov Institute of Mathematics, 323, pp. S1-S18. Scopus DOI Q3

Savchuk, O., Stonyakin, F., Alkousa, M., Zabirova, R., Titov, A., Gasnikov, A. Online Optimization Problems with Functional Constraints Under Relative Lipschitz Continuity and Relative Strong Convexity Conditions (2023) Communications in Computer and Information Science, 1881 CCIS, pp. 29-43. Scopus DOI  Q4

Stonyakin F.S., Ablaev S.S., Baran I.V., Alkousa M.S. Subgradient methods for weakly convex and relatively weakly convex problems with a sharp minimum (2023) Сomputer Research and Modeling, 15 (2), pp. 393 - 412 Scopus DOI Q4

Stonyakin, F., Alkousa, M., Titov, A., Savchuk, O., Gasnikov, A. Adaptive algorithms for relatively lipschitz continuous convex optimization problems (2023) Pure and Applied Functional Analysis, 8 (5), pp. 1505-1526. Scopus

Stonyakin F. , Gasnikov A. , Dvurechensky P. , Titov A. , Alkousa M. Generalized Mirror Prox Algorithm for Monotone Variational Inequalities: Universality and Inexact Oracle // Journal of Optimization Theory and Applications, Vol. 194, No. 3, P. 988 - 1013 Scopus WOS DOI Q1

Ablaev, S.S., Titov, A.A., Stonyakin, F.S., Alkousa, M.S., Gasnikov, A. Some Adaptive First-Order Methods for Variational Inequalities with Relatively Strongly Monotone Operators and Generalized Smoothness (2022) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13781 LNCS, pp. 135-150. Scopus WOS DOI Q2

Alkousa M.S., Gasnikov A.V., Dvurechensky P.E., Sadiev A.A., Razouk L.Ya. An approach for the nonconvex uniformly concave structured saddle point problem // Computer Research and Modeling, Vol. 14, No. 2, P. 225 - 237 Scopus WOS DOI Q4

Gladin, E., Alkousa, M., Gasnikov, A. Solving Convex Min-Min Problems with Smoothness and Strong Convexity in One Group of Variables and Low Dimension in the Other // Automation and Remote Control, 82 (10), pp. 1679-1691. Scopus DOI Q3

Titov, A.A., Stonyakin, F.S., Alkousa, M.S., Gasnikov, A.V. Algorithms for Solving Variational Inequalities and Saddle Point Problems with Some Generalizations of Lipschitz Property for Operators (2021) Communications in Computer and Information Science, 1476 CCIS, pp. 86-101. Scopus DOI Q4

Gladin, E., Sadiev, A., Gasnikov, A., Dvurechensky, P., Beznosikov, A., Alkousa, M. Solving Smooth Min-Min and Min-Max Problems by Mixed Oracle Algorithms (2021) Communications in Computer and Information Science, 1476 CCIS, pp. 19-40. Scopus DOI Q4

Alkousa, M.S., Gasnikov, A.V., Dvinskikh, D.M., Kovalev, D.A., Stonyakin, F.S. Accelerated Methods for Saddle-Point Problem (2020) Computational Mathematics and Mathematical Physics, 60 (11), pp. 1787-1809. Scopus DOI Q2

Titov, A.A., Stonyakin, F.S., Alkousa, M.S., Ablaev, S.S., Gasnikov, A.V. Analogues of Switching Subgradient Schemes for Relatively Lipschitz-Continuous Convex Programming Problems (2020) Communications in Computer and Information Science, 1275 CCIS, pp. 133-149. Scopus WOS DOI Q4

Gasnikov, A.V., Gorbunov, E.A., Kovalev, D.A., Mokhammed, A.A.M., Chernousova, E.O. Reachability of Optimal Convergence Rate Estimates for High-Order Numerical Convex Optimization Methods (2019) Doklady Mathematics, 99 (1), pp. 91-94. Scopus DOI Q2

Titov, A.A., Stonyakin, F.S., Gasnikov, A.V., Alkousa, M.S. Mirror descent and constrained online optimization problems (2019) Communications in Computer and Information Science, 974, pp. 64-78. Scopus DOI Q4

Gasnikov, A.V., Gorbunov, E.A., Kovalev, D.A., Mohammed, A.A.M., Chernousova, E.O. The global rate of convergence for optimal tensor methods in smooth convex optimization [Обоснование гипотезы об оптимальных оценках скорости сходимости численных методов выпуклой оптимизации высоких порядков] (2018) Computer Research and Modeling, 10 (6), pp. 737-753. Scopus DOI Q4

Gasnikov, A.V., Gasnikova, E.V., Dvurechensky, P.E., Mohammed, A.A.M., Chernousova, E.O. About the Power Law of the PageRank Vector Component Distribution. Part 1. Numerical Methods for Finding the PageRank Vector (2017) Numerical Analysis and Applications, 10 (4), pp. 299-312. Scopus DOI Q4