Ярмошик Демьян Валерьевич

Родился 13 сентября 1997г.

Образование

кфмн ФПМИ МФТИ 2025

Профессиональные интересы

Оптимизация на графах

Публикации

2026

Demyan Yarmoshik, Igor Ignashin, Ekaterina Sikacheva, Alexander Gasnikov. Modeling skiers flows via Wardrope equilibrium in closed capacitated networks (2026) DOI Q3

Ignashin I., Yarmoshik D., Raigorodskii A. STOCHASTIC ORIGIN FRANK–WOLFE METHOD FOR TRAFFIC ASSIGNMENT (2026) Journal of Mathematical Sciences arxivDOI Q3

Demyan Yarmoshik, Nhat Trung Nguyen, Alexander Rogozin, Alexander Gasnikov. Decentralized Optimization with Mixed Affine Constraints (2026)  arxiv

2025

Demyan Yarmoshik, Alexander Rogozin, Nikita Kiselev, Daniil Dorin, Alexander Gasnikov, Dmitry Kovalev. Decentralized Optimization with Coupled Constraints (2025) The International Conference on Learning Representations (ICLR) A*

Ilya Kuruzov, Alexander Rogozin, Demyan Yarmoshik, Alexander Gasnikov. The mirror-prox sliding method for non-smooth decentralized saddle-point problems (2025) Optimization Methods and Software. DOI Q2

2024

Victoria Guseva, Ilya Sklonin, Irina Podlipnova, Demyan Yarmoshik, Alexander Gasnikov. An Equilibrium Dynamic Traffic Assignment Model with Linear Programming Formulation (2024) International Conference on Optimization and Applications Q2

Yarmoshik D., Persiianov M. On the application of saddle-point methods for combined equilibrium transportation models  (2024)  International Conference on Mathematical Optimization Theory and Operations Research // Lecture Notes in Computer Science DOI Q2

Meruza Kubentayeva, Demyan Yarmoshik, Mikhail Persiianov, Alexey Kroshnin, Ekaterina Kotliarova, Nazarii Tupitsa, Dmitry Pasechnyuk, Alexander Gasnikov, Vladimir Shvetsov, Leonid Baryshev, Alexey Shurupov. Primal-Dual Gradient Methods for Searching Network Equilibria in Combined Models with Nested Choice Structure and Capacity Constraints (2024) Scopus DOI Q3

Ignashin, I. N., and D. V. Yarmoshik. Modifications of the Frank–Wolfe algorithm in the problem of finding the equilibrium distribution of traffic flows. (2024) Computer research and modeling  Q4

2023

Gasnikova, E.V., Gasnikov, A.V., Yarmoshik, D.V., Kubentaeva, M.B., Persianov, M.I., Podlipnova, I.V., Kotlyarova, E.V., Sklonin, I.A., Podobnaya, E.D., Matyukhin, V.V. Multistage Transportation Model and Sufficient Conditions for Its Potentiality (2023) Doklady Mathematics, 108 (Suppl 1), pp. S139-S144. Scopus DOI Q1

Demyan Yarmoshik, Alexander Rogozin, Alexander Gasnikov. Decentralized optimization with affine constraints over time-varying networks (2023) Scopus DOI Q3

Nikita Iltyakov, Mark Obozov, Igor Dyslevski, Demyan Yarmoshik, Meruza Kubentayeva, Alexander Gasnikov. On Accelerated Coordinate Descent Methods for Searching Equilibria in Two-Stage Transportation Equilibrium Traffic Flow Distribution Model (2023) Scopus DOI Q3

Il’tyakov, N.A., Obozov, M.A., Dyshlevski, I.M., Yarmoshik, D.V., Kubentaeva, M.B., Gasnikov, A.V., Gasnikova, E.V. On Accelerated Coordinate Descent Methods for Searching Equilibria in Two-Stage Transportation Equilibrium Traffic Flow Distribution Model (2023) Programming and Computer Software, 49 (6), pp. 513-524. Scopus DOI Q3

2022

Yarmoshik D., Rogozin A., Khamisov O.O., Dvurechensky P., Gasnikov A. Decentralized Convex Optimization Under Affine Constraints for Power Systems Control // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13367, P. 62 - 75 Scopus WOS DOI Q3

Rogozin, A., Yarmoshik, D., Kopylova, K., Gasnikov, A. Decentralized Strongly-Convex Optimization with Affine Constraints: Primal and Dual Approaches (2022) Communications in Computer and Information Science, 1739 CCIS, pp. 93-105. Scopus WOS DOI Q4

2021

Kotliarova, E.V., Gasnikov, A.V., Gasnikova, E.V., Yarmoshik, D.V. Finding equilibrium in two-stage traffic assignment model [Поиск равновесий в двухстадийных моделях распределения транспортных потоков по сети] (2021) Computer Research and Modeling, 13 (2), pp. 365-379. Scopus WOS DOI Q4

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