Stonyakin

Stonyakin Fedor Sergeevich

Стонякин Фёдор Сергеевич

Doctor of Physics and Mathematics, 01.01.07 – Computational Mathematics 2020 г.; Assistant Professor, 01.01.01 – Real, Complex, and Functional Analysis 2017

Contacts

Primary affiliation

  • Moscow Institute of Physics and Technology - Leading Researcher
  • 9 Institutskiy lane, Dolgoprudny, Moscow region, 141700, Russia
  • https://mipt.ru

The author's profile in the scientific and bibliometric databases

eLIBRARY.RU, ORCID, ResearcherID, Scopus, zbMath, Math-Net, MathSciNet

Biographical information

F.S. Stonyakin was born in Leningrad in 1987. He graduated from the Faculty of Mathematics and Information Science of the Vernadsky Taurian National University (now, Vernadsky Crimean Federal University (CFU) in 2009. Since graduation he has been working in the Department of Algebra and Functional Analysis of CFU. He received his Candidate’s degree in physics and mathematics (2011) and obtained a doctoral degree in physics and mathematics (2020), majoring in computational mathematics. From 2018 to 2020, F.S. Stonyakin worked in parallel as senior research worker at the Moscow Institute of Physics and Technology (MIPT) (National Reseach University). Since June 2021, he has been senior research worker at the Laboratory of Advanced Combinatorics and Network Applications of MIPT. In October 2021 he was appointed leading research worker in his primary place of employment.

Scientific interests

methods of optimization in spaces of large and very large dimensions, analysis of adaptive and universal numerical methods of optimization, numerical methods for variational inequalities and saddle problems, convex and nonsmooth analysis

Main accomplishments of the author

F.S. Stonyakin has written more than 50 papers published in journals indexed in Scopus, of which 15 were published in journals of quartiles 1 or 2. Also, he has written 2 monographs and prepared a teaching guide on convex optimization (https://arxiv.org/pdf/2106.01946.pdf) together with E.A. Vorontsova, R.F. Hildebrand and A.V. Gasnikov. Altogether, F.S. Stonyakin has 60 scientific papers to his credit.

Additional information

Associate editor.

The author is ready to participate in reviewing.

Affiliations

Moscow Institute of Physics and Technology (State University)
9 Institutskii pereulok, Dolgoprudny, Moscow Region, 141701, Russia
https://old.mipt.ru/education/chairs/dm/
V.I. Vernadsky Crimean Federal University
4 V. Vernadsky ave., Simferopol, Republic of Crimea, 295007
https://phystech.cfuv.ru/department/kafedra-algebry-i-funkcionalnogo-analiza

Journal publications:

  1. Puchinin S.M., Korolkov E.R., Stonyakin F.S., Alkousa M.S., Vyguzov A.A. Subgradient methods with B.T. Polyak-type step for quasiconvex minimization problems with inequality constraints and analogs of the sharp minimum, Computer Research and Modeling, 2024, vol. 16, no. 1, pp. 105-122
  2. Stonyakin F.S., Savchuk O.S., Baran I.V., Alkousa M.S., Titov A.A. Analogues of the relative strong convexity condition for relatively smooth problems and adaptive gradient-type methods, Computer Research and Modeling, 2023, vol. 15, no. 2, pp. 413-432
  3. 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, Computer Research and Modeling, 2023, vol. 15, no. 2, pp. 393-412
  4. Ablaev S.S., Makarenko D.V., Stonyakin F.S., Alkousa M.S., Baran I.V. Subgradient methods for non-smooth optimization problems with some relaxation of sharp minimum, Computer Research and Modeling, 2022, vol. 14, no. 2, pp. 473-495
  5. Savchuk O.S., Titov A.A., Stonyakin F.S., Alkousa M.S. Adaptive first-order methods for relatively strongly convex optimization problems, Computer Research and Modeling, 2022, vol. 14, no. 2, pp. 445-472
  6. Stonyakin F.S., Stepanov A.N., Gasnikov A.V., Titov A.A. Mirror descent for constrained optimization problems with large subgradient values of functional constraints, Computer Research and Modeling, 2020, vol. 12, no. 2, pp. 301-317
  7. Pasechnyuk D.A., Stonyakin F.S. One method for minimization a convex Lipschitz-continuous function of two variables on a fixed square, Computer Research and Modeling, 2019, vol. 11, no. 3, pp. 379-395

Indexed in Scopus

Full-text version of the journal is also available on the web site of the scientific electronic library eLIBRARY.RU

The journal is included in the Russian Science Citation Index

The journal is included in the RSCI

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