UDC 519.6
DOI: 10.36871/2618-9976.2024.01.009
Authors
Leonid S. Zvyagin,
PhD of Economics, Associate Professor, Associate Professor of the Department of "System Analysis
in Economics" of the Faculty of Information Technology and Big Data Analysis, Financial University
under the Government of the Russian Federation, Moscow, Russia
Abstract
Computational methods are widely used in mathematical modeling to identify sequences necessary for the desired quantities. Logical and computational operations are used in programming to create computer programs that work with the model in a technical plane. Numerical methods are equally widespread in problems of game theory, where they are used to calculate optimal strategies, display winning probabilities and calculate the effectiveness of selected methods, in order to proceed to a solution using computational methods, the original problem is replaced by a computational algorithm. Mathematical modeling is a theoretical tool and allows you to describe in theory the trends of a particular phenomenon or process, track development trends, outline the relationships and behavior of objects within the desired model. Mathematical modeling can be attributed to experimental scientific methods, since using computer technologies and tools it allows you to conduct a huge number of experiments with models, which in turn allows you to work through many scenarios with different introductory ones.
Keywords
Mathematical modeling, Computational methods, Data analysis, Information systems, Decision algorithms
