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Analysis of the Stochastic Excitement in a Model of Flow Reactor
Bashkirtseva, Irina A., Fominykh, Polina M., Башкирцева, Ирина А., Фоминых, Полина М.
A probabilistic mechanism of the stochastic excitement in a model of flow reactor is studied
Stochastic dynamics of time correlation in complex systems with discrete time
Yulmetyev R., Hänggi P., Gafarov F.
measure of stochastic dynamics of time correlation (i=0) and time memory (i=1,2,3, . . . ). The set
Stability Research of Population Dynamics Model on the Basis of Construction of the Stochastic Self-Consistent Models and the Principle of the Reduction
Демидова А.В., Дружинина О.В., Масина О.Н.
and the analysis of models, the principle of a reduction and the developed method of construction of the stochastic
The research method of controlled movement dynamics of tether system
Razoumny Y.N., Kupreev S.A., Misra A.K.
During the study the dynamics of controlled movement of tether systems, it is proposed to use
Studying the dynamics of ecological processes models using intelligent control
Demidova A.V., Druzhinina O.V., Masina O.N., Petrov A.A.
artificial neural networks. Based on the method of constructing self-consistent stochastic models
Dynamical Shannon entropy and information Tsallis entropy in complex systems
Yulmetyev R., Emelyanova N., Gafarov F.
of the dynamic behaviour of complex systems. On the basis of the unification of the known information approach
Effects of stochasticity on the length and behaviour of ecological transients
Hastings A., Abbott K.C., Cuddington K., Francis T.B., Lai Y.C., Morozov A., Petrovskii S., Zeeman M.L.
. Stochasticity can of course promote the appearance of transient dynamics by preventing systems from settling
Пакет Catalyst.jl для исследования компартментарных моделей
Шутенко В.М.
To obtain more accurate results in the study of dynamic and stochastic systems, the Catalyst
Computer research of nonlinear stochastic models with migration flows
Demidova A.V., Druzhinina O.V., Masina O.N., Tarova E.D.
the method of constructing self-consistent stochastic models. As a tool for the study of population
Issues in the software implementation of stochastic numerical Runge–Kutta
Gevorkyan M.N., Demidova A.V., Korolkova A.V., Kulyabov D.S.
This paper discusses the application of stochastic Runge-Kutta-like numerical methods with weak

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