Kuznetsov D. F., Kuznetsov M. D., “Mean-square approximation of iterated stochastic integrals from strong exponential Milstein and Wagner-Platen methods for non-commutative semilinear SPDEs based on multiple Fourier-Legendre series”, Recent Developments in Stochastic Methods and Applications, ICSM-5 2020, Springer Proceedings in Mathematics & Statistics, 371, eds. Shiryaev A.N., Samouylov K.E, Kozyrev D.V., Springer, Cham, 2021, 17–32
Kuznetsov M. D., Kuznetsov D. F., “SDE–MATH: A software package for the implementation of strong high-order numerical methods for Ito SDEs with multidimensional non-commutative noise based on multiple Fourier–Legendre series”, Differential Equations and Control Processes, 2021, no. 1, 93-422
Kuznetsov M., Novikova E., Kotenko I., Doynikova E., “Privacy Policies of IoT Devices: Collection and Analysis”, Sensors, 22 (2022), 18-38
Кузнецов М. Д., Новикова Е. С., “Краулер для формирования датасета пользовательских соглашений на использование персональных данных”, Изв. СПбГЭТУ «ЛЭТИ»., 15:4 (2022), 35-43
4.
Kuznetsov D. F., Kuznetsov M. D., “Optimization of the mean-square approximation procedures
for iterated Stratonovich stochastic integrals of multiplicities
1 to 3 with respect to components of the multi-dimensional
Wiener process based on Multiple Fourier–Legendre series”, MATEC Web of Conferences, 362 (2022), article id: 01014 , 10 pp. PDF
2021
5.
Kuznetsov, D. F., Kuznetsov M. D., “Mean-square approximation of iterated stochastic integrals from strong exponential Milstein and Wagner-Platen methods for non-commutative semilinear SPDEs based on multiple Fourier-Legendre series”, In: Recent Developments in Stochastic Methods and Applications. ICSM-5 2020, Springer Proceedings in Mathematics & Statistics, ISBN 978-3-030-83266-7, 371, eds. Shiryaev A.N., Samouylov K.E, Kozyrev D.V., Springer, Cham, 2021, 17–32Publication Page
6.
Kuznetsov D. F., Kuznetsov M. D., “Optimization of the mean-square approximation procedures for iterated Ito stochastic integrals based on multiple Fourier-Legendre series”, Journal of Physics: Conference Series, 1925 (2021), article id: 012010 , 12 pp. PDF
Mikhail D. Kuznetsov, Dmitriy F. Kuznetsov, “SDE–MATH: A software package for the implementation
of strong high-order numerical methods for Ito SDEs with multidimensional non-commutative noise based on multiple Fourier–Legendre series”, Electronic Journal “Differential Equations and Control Processes”, 2021, no. 1, 93-422Publication PagePDF
8.
Кузнецов М. Д., Мядзель В. С., Новикова Е. С., “Применение методов интеллектуального анализа текста для исследования согласий на использование персональных данных”, Изв. СПбГЭТУ «ЛЭТИ»., 2021, № 4, 42-48
9.
Кузнецов М. Д., “Инструмент разметки для получения многоуровневой иерархической выборки обучающих данных”, Сборник материалов IX Международной научной конференции «Математическое и компьютерное моделирование», Омский государственный университет им. Ф. М. Достоевского, 2021, 248-250PDF
10.
Кузнецов М. Д., Кузнецов Д.Ф., SDE-MATH Fourier-Legendre Coefficients Database, Государственная регистрация базы данных, охраняемой авторскими правами (RU2021620788), 2021 PDF
11.
Кузнецов М. Д., Кузнецов Д.Ф., SDE-MATH Software Package, Государственная регистрация программы для ЭВМ (RU2021616047), 2021 PDF
2020
12.
Kuznetsov D.F., Kuznetsov M.D., “A software package for Implementation of strong numerical methods of convergence orders 0.5, 1.0, 1.5, 2.0, 2.5, and 3.0 for Ito SDEs with non-commutative multi-dimensional noise”, 19th International Conference “Aviation and Cosmonautics” (AviaSpace-2020). Abstracts (Moscow, MAI, 23-27 November, 2020), Publishing house “Pero”, 2020, 569–570PDF
13.
Mikhail D. Kuznetsov, Dmitriy F. Kuznetsov, Optimization of the mean-square approximation procedures for iterated Ito stochastic integrals of multiplicities 1 to 5 from the unified Taylor-Ito expansion based on multiple Fourier-Legendre series., 2020 , 63 pp., arXiv: 2010.13564
14.
Mikhail D. Kuznetsov, Dmitriy F. Kuznetsov, Implementation of strong numerical methods of orders 0.5, 1.0, 1.5, 2.0, 2.5, and 3.0 for Ito SDEs with non-commutative noise based on the unified Taylor-Ito and Taylor-Stratonovich expansions and multiple Fourier-Legendre series, 2020 , 342 pp., arXiv: 2009.14011
15.
Кузнецов М. Д., Новикова Е. С., “Применение латентно-семантического анализа для кластеризации схожих по содержанию текстов”, Сборник материалов VIII Международной научной конференции «Математическое и компьютерное моделирование, Омский государственный университет им. Ф. М. Достоевского, 2020, 125-127PDF
2024
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