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Application of the Methods of Stochastic Micro Dynamics tothe Research of Stability in the Systems of Economic Exchange of the stochastic micro dynamics methods (SMDM) based on the direct computersimulation of the processes progressing

A parallel algorithm for modeling of dynamical processes on large stochastic Kronecker graphsA stochastic Kronecker graph (SKG) is one of the most widely used approaches to model complex

Renormalization group calculation of dynamic exponent in the models e and F with hydrodynamic fluctuationsThe renormalization group method is applied in order to analyze models E and F of critical dynamics

The Equations of Population Dynamics in the Form of Stochastic Differential Equations and the method to obtain stochastic differential equation written as Langevin equations. And we received

Computer research of deterministic and stochastic models “two competitors—two migration areas” taking into account the variability of parameters methods are relevant areas of research in dynamic population-migration models. In this paper, four

Design and computer research of a nonlinear stochastic models describing the dynamics of interacting populations. The transition to the corresponding stochastic models is made. In stochastic cases, the method of constructing

CONSTRUCTION OF STOCHASTIC MODEL FOR POPULATION DYNAMICS THAT TAKES INTO ACCOUNT COMPETITION AND MIGRATION OF SPECIESIn this report, we made the qualitative study of solutions of population dynamics model described

Nonstationary stochastic motion modeling by dynamical systems of dynamical system. One method is based on the interpretation of kinetic equation for empirical distribution

Stochastic Generation of Bursting Oscillations in the Three-dimensional Hindmarsh–Rose Model deterministic dynamics, under the random disturbances, such complex effect as the stochastic generation

Dynamic SNR, Spectral Efficiency, and Rate Characterization in 5G/6G mmWave/sub-THz Systems with Macro- and Micro-Mobilities-dependent spectral efficiency, while local dynamics at 1–3 s scales are mainly governed by micro

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