Background. By the means of the method of stochastization of one-step processes we get the simplified mathematical model of the original stochastic system. We can explore these models by standard methods, as opposed to the original system. The process of stochastization depends on the type of the system under study. Purpose. We want to get a unified abstract formalism for stochastization of one-step processes. This formalism should be equivalent to the previously introduced. Methods. To unify the methods of construction of the master equation, we propose to use the diagram technique. Results. We get a diagram technique, which allows to unify getting master equation for the system under study. We demonstrate the equivalence of the occupation...
The subject of modelling and application of stochastic processes is too vast to be exhausted in a si...
In this paper we present an extension of the process algebra modelling methodology which allows qual...
AbstractThe complexity of stochastic models of real-world systems is usually managed by abstracting ...
Background. By the means of the method of stochastization of one-step processes we get the simplifie...
By the means of the method of stochastization of one-step processes we get the simplified mathematic...
By the means of the method of stochastization of one-step processes we get the simplified mathematic...
To construct realistic mathematical models from the first principles, the authors suggest using the ...
When modeling such phenomena as population dynamics, controllable flows, etc., a problem arises of a...
In this paper, two approaches (combinatorial and operatorial) to the stochastization of the one-step...
Key Words: Stochastic Approach, Information Systems Oriented to Object, Markov Chain. This...
Stochastic processes have many useful applications and are taught in several university programmes. ...
We introduce a unifying framework to provide the semantics of process algebras, including their quan...
Background. Presentation of the probability as an intrinsic property of the nature leads researchers...
We show that the solution to an arbitrary c-number stochastic differential equation (SDE) can be rep...
Stochastic processes constitute a broad class of objects of central importance in complex systems. T...
The subject of modelling and application of stochastic processes is too vast to be exhausted in a si...
In this paper we present an extension of the process algebra modelling methodology which allows qual...
AbstractThe complexity of stochastic models of real-world systems is usually managed by abstracting ...
Background. By the means of the method of stochastization of one-step processes we get the simplifie...
By the means of the method of stochastization of one-step processes we get the simplified mathematic...
By the means of the method of stochastization of one-step processes we get the simplified mathematic...
To construct realistic mathematical models from the first principles, the authors suggest using the ...
When modeling such phenomena as population dynamics, controllable flows, etc., a problem arises of a...
In this paper, two approaches (combinatorial and operatorial) to the stochastization of the one-step...
Key Words: Stochastic Approach, Information Systems Oriented to Object, Markov Chain. This...
Stochastic processes have many useful applications and are taught in several university programmes. ...
We introduce a unifying framework to provide the semantics of process algebras, including their quan...
Background. Presentation of the probability as an intrinsic property of the nature leads researchers...
We show that the solution to an arbitrary c-number stochastic differential equation (SDE) can be rep...
Stochastic processes constitute a broad class of objects of central importance in complex systems. T...
The subject of modelling and application of stochastic processes is too vast to be exhausted in a si...
In this paper we present an extension of the process algebra modelling methodology which allows qual...
AbstractThe complexity of stochastic models of real-world systems is usually managed by abstracting ...