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
3.
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
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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
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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
7.
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
8.
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
9.
Кузнецов М. Д., Кузнецов Д.Ф., SDE-MATH Fourier-Legendre Coefficients Database, Государственная регистрация базы данных, охраняемой авторскими правами (RU2021620788), 2021 PDF
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Кузнецов М. Д., Кузнецов Д.Ф., SDE-MATH Software Package, Государственная регистрация программы для ЭВМ (RU2021616047), 2021 PDF
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11.
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
12.
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
13.
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
14.
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
2022
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