Stochastic processes and nonlinear dynamics. Monet-Carlo modeling by Monte Carlo. In the tasks of chemical kinetics. Semendyeva N.L., Kurkina E.S., Makeev A.G.

The book sets out the basic principles of building stochastic models for reshet systems. A classification of Monte Carlo methods was carried out, basic approaches to their algorithmic implementation were considered, and the effectiveness of the algorithms was compared. The hybrid kinetic method of Monte Carlo, combining stochastic calculations and standard numerical methods, which allows you to study the dynamics of complex systems and conduct a qualitative analysis of stationary and periodic solutions.

The wide capabilities of the Monte Carlo method are demonstrated in modeling the thermorethment process from the imperfect adsorption layer, as well as when studying various phenomena of self-organization in heterogeneous catalytic reactions and in the groom-model of the vita-voder. The applications provide examples of MatLab programs that implement the Kinetic method of the Monte Carlo.

The book can be useful to students and graduate students of higher educational institutions, as well as a wide range of specialists engaged in mathematical modeling of physicochemical and biological systems. << /p>