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Implementation of an analytical-numerical approach to stochastization of one-step processes in the Julia programming language
Fedorov A.V., Masolova A.O., Korolkova A.V., Kulyabov D.S.
In this paper, we use the method of stochastization of one-step processes to demonstrate
Stochastization of one-step processes in the occupations number representation
Korolkova A.V., Eferina E.G., Laneev E.B., Gudkova I.A., Sevastianov L.A., Kulyabov D.S.
By the means of the method of stochastization of one-step processes we get the simplified
Diagram representation for the stochastization of single-step processes
Eferina E.G., Hnatich M., Korolkova A.V., Kulyabov D.S., Sevastianov L.A., Velieva T.R.
Background. By the means of the method of stochastization of one-step processes we get
Diagram representation for the operator approach of one-step processes stochastization
Eferina E., Velieva T., Korolkova A., Hnatich M., Kulyabov D., Sevastianov L.
By the means of the method of stochastization of one-step processes we get the simplified
One-step Stochastization Methods for Open Systems
Korolkova A., Kulyabov D.
In this paper, two approaches (combinatorial and operatorial) to the stochastization of the one-step
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.
from the first principles by stochastization of one-step processes. Research can be represented
Constructing a stochastic model of managed router module
Velieva T.R.
Stochastic model of the control module type RED router is built based on the physical properties
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
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.
. The transition to the corresponding stochastic models is made. In stochastic cases, the method of constructing
Computer research of deterministic and stochastic models “two competitors—two migration areas” taking into account the variability of parameters
Vasilyeva I.I., Demidova A.V., Druzhinina O.V., Masina O.N.
and analyze trajectory dynamics. Using the method of constructing self-consistent one-step models

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