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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
A parallel algorithm for modeling of dynamical processes on large stochastic Kronecker graphs
Bochenina K.
A stochastic Kronecker graph (SKG) is one of the most widely used approaches to model complex
Stochastic Perturbations of Stable Dynamical Systems: Trajectory-Wise Approach
Sultanov O.A.
We study stochastic perturbations of a dynamical system with a locally stable fixed point
Long-Term Stability of Dynamical Systems with Respect to Stochastic Perturbations
Sultanov O.A.
Long-Term Stability of Dynamical Systems with Respect to Stochastic Perturbations
Renormalization group calculation of dynamic exponent in the models e and F with hydrodynamic fluctuations
Dančo M., Hnatič M., Komarova M.V., Lučivjanský T., Nalimove M.Yu.
The renormalization group method is applied in order to analyze models E and F of critical dynamics
Nonstationary stochastic motion modeling by dynamical systems
Orlov Y.N., Kislitsyn A.A.
of dynamical system. One method is based on the interpretation of kinetic equation for empirical distribution
Design and computer research of a nonlinear stochastic models describing the dynamics of interacting populations
Demidova A.V., Druzhinina O.V., Masina O.N., Shcherbakov A.V.
of the systems is carried out, equilibrium states are found, the species number dynamics graphs are constructed
CONSTRUCTION OF STOCHASTIC MODEL FOR POPULATION DYNAMICS THAT TAKES INTO ACCOUNT COMPETITION AND MIGRATION OF SPECIES
Demidova A.V., Druzhinina O.V., Masina O.N.
by a system of ordinary differential equations. The stochastic model taking into account competition
Implementing a Method for Stochastization of One-Step Processes in a Computer Algebra System
Gevorkyan M.N., Demidova A.V., Velieva T.R., Korol’kova A.V., Kulyabov D.S., Sevast’yanov L.A.
, we use the SymPy computer algebra system. Based on a developed algorithm, we derive stochastic
Design and stability analysis of nondeterministic multidimensional populations dynamics models
Demidova A.V., Druzhininak O.V., Masina O.N.
the systems of the stochastic differential equations is possible for the models which are the concretization

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