Abstract: Stochastic differential Ito-Stratonovich equations (SDE) with non-linear coefficients are applied to the computer simulation model of the Brownian Motion. The Fokker-Einstein and Kramers equations (FK) are solved under condition that its stochastic analog is Marcovian stochastic process. It is possible to generalize the computer simulation method on the non Markovian case; the results as well as the algorithms are presented. The stochastic analogs of FK are able to used in solution of the problems of the defect's clusterization processes, accompanied the initial stage of the phase transition in the origin of lied hydrides of metal's as well oxides films.Note: Research direction:Mathematical modelling in actual ...
A practical introduction to stochastic modelling of reaction-diffusion processes is presented. No pr...
Digitally generated solutions of nonlinear stochastic systems are not unique, but depend critically ...
Kinetic theory models involving the Fokker–Planck equation are usually solved in the framework of st...
Abstract: Stochastic differential Ito-Stratonovich equation (SDE) with non-linear coeffici...
Abstract: Kinetic approach to modelling of phase transition in solids at their fluctuation...
The purpose of this report is to introduce the engineer to the area of stochastic differential equat...
Abstract: The kinetic problem investigation of the both fundamental self-organization plas...
Abstract: Kinetic approach to modelling of phase transition in solids at their fluctuation...
A stochastic process or sometimes called random process is the counterpart to a deterministic proces...
The lecture outlines the most important mathematical facts about stochastic processes which are desc...
"Stochastic calculus provides a powerful description of a specific class of stochastic processes in ...
Firstly, the Markovian stochastic Schroedinger equations are presented, together with their connecti...
The goal of this paper is to present a series of recent contributions arising in numerical probabili...
Several Brownian Dynamics numerical schemes for treating stochastic differential equations atthe pos...
Abstract. A practical introduction to stochastic modelling of reaction-diffusion processes is presen...
A practical introduction to stochastic modelling of reaction-diffusion processes is presented. No pr...
Digitally generated solutions of nonlinear stochastic systems are not unique, but depend critically ...
Kinetic theory models involving the Fokker–Planck equation are usually solved in the framework of st...
Abstract: Stochastic differential Ito-Stratonovich equation (SDE) with non-linear coeffici...
Abstract: Kinetic approach to modelling of phase transition in solids at their fluctuation...
The purpose of this report is to introduce the engineer to the area of stochastic differential equat...
Abstract: The kinetic problem investigation of the both fundamental self-organization plas...
Abstract: Kinetic approach to modelling of phase transition in solids at their fluctuation...
A stochastic process or sometimes called random process is the counterpart to a deterministic proces...
The lecture outlines the most important mathematical facts about stochastic processes which are desc...
"Stochastic calculus provides a powerful description of a specific class of stochastic processes in ...
Firstly, the Markovian stochastic Schroedinger equations are presented, together with their connecti...
The goal of this paper is to present a series of recent contributions arising in numerical probabili...
Several Brownian Dynamics numerical schemes for treating stochastic differential equations atthe pos...
Abstract. A practical introduction to stochastic modelling of reaction-diffusion processes is presen...
A practical introduction to stochastic modelling of reaction-diffusion processes is presented. No pr...
Digitally generated solutions of nonlinear stochastic systems are not unique, but depend critically ...
Kinetic theory models involving the Fokker–Planck equation are usually solved in the framework of st...