Stonyakin Fedor Sergeevich
Doctor of Physical and Mathematical Sciences, docent
Teaching
Read lecture courses and practical classes in the following disciplines: "Convex and Nonsmooth Analysis", "Computer Algebra. Systems of Analytical Computing", "Modern Adaptive Numerical Methods in BigData-Problems", "Elementary Mathematics", "Additional Chapters of Systems Analysis".
Supervise the theses of bachelors, master students and postgraduate students.
Research Projects and Grants
1. The grant of the President of the Russian Federation for young condidates of sciences MK-15.2020.1 "Adaptivе algorithms for Optimization Problеms with Relative Accuracy" (supervisor). Expired in 2021.
2. The grant of the Russian Science Foundation 18-71-00048 "Development of the theory of adaptive and universal numerical methods for solving convex optimization problems with functional constraints and large amount of data" (supervisor). Expired in 2020.
3. The grant of the Russian Foundation for Basic Research 18-31-00219 "New approaches to subdifferential calculus and nonsmooth optimization" (supervisor). Expired at the end of 2021.
4. The grant of the President of the Russian Federation for young condidates of sciences MK-176.2017.1 "New approaches to duality theory for abstract cones and their applications" (supervisor). Expired in 2018.
5 The grant of the Russian Foundation for Basic Research 19-31-51001 "Distributed and parallel algorithms for solving data analysis problems" (adviser, supervisor - prof. A. V. Gasnikov). Expires in 2021.
6. The grant of the Russian Foundation for Basic Research 18-31-20005 "Development of general principles for constructing and analyzing the rate of convergence of numerical optimization methods based on the concept of the objective function model" (participant, supervisor - prof. A. V. Gasnikov). Expired in 2020.
7. The grant of the Russian Foundation for Basic Research 18-29-03071 "Big Data Solutions for modeling, analysis and transport processes optimization" (participant, supervisor - prof. E. A. Nurminsky). Finishing participation in 2021.
8. The grant of the Russian Science Foundation 18-71-10044 "Supercomputer analysis of social, epidemiological and economic processes. Theory, algorithms and complex of programs" (participant, supervisor - assistant professor O. I. Krivorotko). Finishing participation in 2021.
Awards and Recognitions
Over the years of work at the Small Academy of Sciences of the Crimea, "Seeker" with students has prepared many prize-winners of many Olympiads and competitions.
Among them are 3 prize-winners of the international competitions of scientific research works of students "Scientists of the Future" (MSU, 2011, 2012 and 2013), 1 prize-winner of the conference "Start in Science" (MIPT, 2015) and 1 prize-winner of the "Baltic Scientific and Engineering Competition" (ITMO, 2017).
One of the most important achievements is the absolute 3rd place of the pupil at the Intel ISEF 2014 International Competition in the USA, Los Angeles.
Over the years of work at the Small Academy of Sciences of Schoolchildren of the Crimea, "Seeker" I was awarded the gratitude of the Ministry of Education of the Autonomous Republic of Crimea (2006), the diploma of the Ministry of Education, Youth and Sports of the Autonomous Republic of Crimea (2012), the gratitude of the Chairman of the Supreme Council of the Autonomous Republic of Crimea (2013), the award of the Republic of Crimea for work with talented youth named after V.N.. Kasatkina (2014), gratitude of the Ministry of Education, Science and Youth of the Republic of Crimea (2015), etc.
Публикации
2023
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
2022
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
2021
2020
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 [Метод зеркального спуска для условных задач оптимизации с большими значениями норм субградиентов функциональных ограничений] (2020) Computer Research and Modeling, 12 (2), pp. 301-317. Scopus DOI Q4
2019
Stonyakin, F.S., Dvinskikh, D., Dvurechensky, P., Kroshnin, A., Kuznetsova, O., Agafonov, A., Gasnikov, A., Tyurin, A., Uribe, C.A., Pasechnyuk, D., Artamonov, S. Gradient methods for problems with inexact model of the objective (2019) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11548 LNCS, pp. 97-114. Scopus DOI Q3