Journal Nonlinear World №2 for 2026 year
The evaluation of a discrete indicator using inaccurate and incomplete information on probability distribution

V.M. Artyushenko1, V.I. Volovach2

1 Technological University named after twice Hero of the Soviet Union, Cosmonaut A.A. Leonov – Branch of the FSBEI HE «Moscow State University of Geodesy and Cartography» (Moscow, Russia)
2 Volga Region State University of Service (Toglyatti, Russia)
2 MIREA – Russian Technological University (Moscow, Russia)
1 artuschenko@mail.ru, 2 volovach.vi@mail.ru

5-13
Qualitative and numerical study of a four-dimensional dynamic model with competition and migration

O.V. Druzhinina1, I.I. Vasilyeva2, O.N. Masina3

1 FRС «Computer Science and Control» of Russian Academy of Sciences (Moscow, Russia)
2, 3 Bunin Yelets State University (Yelets, Russia)
1 ovdruzh@mail.ru, 2 irinavsl@yandex.ru, 3olga121@inbox.ru

14-21
Algorithm for calculating the probability of failure-free operation and the availability factor of an information and control system with a hierarchical structure and cascading failures

S.F. Boev1, R.S. Shafir2, A.A. Markov3, K.I. Veretennikov4, A.R. Buyashkin5

1 JSFC “Sistema” (Moscow, Russia)
2–4 Lomonosov Moscow State University (Moscow, Russia)
5 Moscow State Technological University “STANKIN” (Moscow, Russia)
1 ris@tstu.tver.ru, 2 romanshafir@mail.ru, 3 amarkov2502@gmail.ru, 4 veretennikov.ki22@physics.msu.ru, 5arsuna@inbox.ru

22-30
Study of nonlinear solutions of the analytical model of the difference-range measuring system

A.G. Saybel 1

1 North-West Regional Center VKO of Almaz-Antey Concern – Obukhov Plant JSC (St. Petersburg, Russia)
1 saybel_ag@mail.ru

31-41
A mathematical model and numerical evaluation of the trust protocol for generative video in digital twins of situation centers

A.S. Sebyakin 1

1 Financial University under Russian Government (Moscow, Russia)
1 249702@edu.fa.ru

42-49
Prototype of an analytical model for supply optimization based on sales, product data and cross-docking with profit per volumetric unit

G.K. Strugach1

1 Financial University under Russian Government (Moscow, Russia)
1 gkstrugach@fa.ru

50-57
Development of an approach to classifying borrower default based on the method of training individual classifiers for different data clusters

A.F. Konstantinov1, L.P. Dyakonova2

1,2 Plekhanov Russian University of Economics (Moscow, Russia)
1 konstantinovaf@gmail.com, 2 Dyakonova.LP@rea.ru

58-68
Application of large language models for machine learning interpretability in dynamic pricing

V.D. Paskanov1

1 Financial University under Russian Government (Moscow, Russia)
1 vyacheslav.paskanov@yandex.ru

69-79