Modeling the Management of an Economic System Based on Random Processes

Schislyaeva, Elena; Васильева, Н. В.; Grigoriev-Golubev, Vladimir; Evgrafova, Irina V.; Belopolsky, Vladimir

doi:10.1007/978-3-031-11051-1_53

Cited by 1 publication

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They need to build a training course using computer mathematics technologies also appears where analytical problem solving is associated with large, cumbersome calculations or is simply impossible. Such tasks in modern practical activity appear when studying the work of economic systems based on random processes [16]. To predict costs or profits in an economic system, it is necessary to obtain a probability distribution for all its states, obtaining an exact solution to the system of Kolmogorov equations, which is possible for large-order systems only in the Mathematica package.…”

Section: Fig 10 Graph Gallerymentioning

confidence: 99%

See 1 more Smart Citation

Mathematical programming in Mathcad and Mathematica

Vasileva,

Grigorev-Golubev,

Evgrafova

2023

E3S Web Conf.

Self Cite

View full text Add to dashboard Cite

An article generalizes the long-term work of authors with packages of applied mathematical programs. It discusses and demonstrates the features and methods of solution of mathematical tasks in mathematical package Mathcad and Mathematica: from the simplest ones, included in the set of typical problems of mathematical disciplines for training specialists for shipbuilding, to complex computational tasks and applied problems of professional orientation, which require the construction of a mathematical model and analysis of the results obtained. The examples show the solution of mathematical problems in symbolic form, mathematical studies in the Mathcad and Mathematica environment, and mathematical programming with these packages.

show abstract

Section: Fig 10 Graph Gallerymentioning

confidence: 99%

“…For a high-order system, the problem will not become more difficult. No matter how complicated and cumbersome its solution looks, it is possible to calculate the numerical characteristics of a random process through it and predict the profit or costs of the economic system for any period of time, as described in [16].…”

Section: Fig 10 Graph Gallerymentioning

confidence: 99%