Authors

E.D. POPOVA

Abstract

Simulation is an effective tool for studying stochastic systems, when the analyzed system is influenced by numerous random factors of complex nature. With the help of this simulation, we have the opportunity to study in conditions of uncertainty, with incomplete or inaccurate data. In probability theory, the following laws of distribution of random variables exist, which in simulation can be represented as probabilistic methods of information processing. The method of simulation modeling helps to solve problems of a high level of complexity, allows you to build an imitation of any complex and diverse processes, with an unlimited volume of elements, the functional dependencies are described in these models by complex mathematical relationships.

Keywords

probabilistic methods, system, information, methods, models.