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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
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Поставки несколькими транспортными средствами с учетом грузовместимости и аренды мест хранения

Транспорт: наука, техника, управление. 2021. № 7. С. 3–9.
Brodetskiy G., Gerami V., Shidlovskii I.

Article presents an analysis of the efficiency of the joint use of vehicles of different types in the supply of goods for the EOQ-model considering one product nomenclature and the lease of storage locations. The analysis takes into account factors important for practical applications: 1) cargo capacity of vehicles; 2) the time value of money; 3) offered discounts on the cost of joint deliveries. The admissible levels of discounts for the efficiency of joint deliveries are assessed. For any set of vehicles, a necessary and sufficient condition (with respect to such a discount) has been established, under which combined deliveries will be more effective than deliveries by one vehicle with the best efficiency.

Language: Russian
Keywords: управление запасамиinventory managementаренда мест храненияvehicle capacityучет грузовместимостисовместные поставки
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