SIMULATION MODELLING POSSIBILITIES IN TEACHING ECONOMIC PROCESSES

Authors

  • Pēteris Grabusts Rezekne Academy of Technologies (LV)

DOI:

https://doi.org/10.17770/sie2017vol3.2435

Keywords:

education, Matlab Simulink, modelling, simulation, visualization

Abstract

For the purpose of simulation models visualization of various economic disciplines, it is appropriate to use specialized programs that allow to characterize the nature of a particular model, but also make it possible to carry out a simulation model based on various parameters. This article substantiates the usefulness of introduction the simulation models at the initial research process, when simulation models can be imported parallel with analytical relations acquisition. Series of research were carried out in order to demonstrate the suitability of the Matlab Simulink for the purpose of visualization of various simulation models of various economic disciplines. Often, the analytical solution is much simpler than the visual Simulink model, but in the perspective of training purposes, it gives an understanding of the usefulness of such models. In the research part of the study the modelling capabilities in economic studies were demonstrated- adapted models in optimal tax rates computing and equilibrium determination in the competitive market.

Downloads

Download data is not yet available.

References

Anderson, P.L. (2005). Business Economics and Finance with MATLAB®, GIS, and Simulation Models. Chapman & Hall.

Cisar, I. (2004). Simulink for economists, for Mathworks.Inc.

Cerný, A. (2009). Mathematical Techniques in Finance: Tools for Incomplete Markets, 2e. Princeton University Press.

Chapra, S.C., Canale, R.P. (2015). Numerical Methods for Engineers, 7e. McGraw-Hill.

Esfandiari, R.S. (2013). Numerical Methods for Engineers and Scientists Using MATLAB. Chapman & Hall/CRC.

Grabusts, P. (2016). Visualization Capabilities of Simulation of Economic Processes. Latgale National Economy Research, Journal of Social Sciences, No. 1(8), 20-30.

Kay, C. (1984). Mathematics for Computer Programmers. New Jersey: Prentice Hall.

Karel, P., Tomas, Z. (2015). Multimedia Teaching Aid for Students of Basics of Control Theory in Matlab and Simulink. Procedia Engineering, Volume 100, 150–158.

Karris, S.T. (2006). Introduction to Simulink ® with Engineering Applications. Orchard Publications.

Kiusalaas, J. (2016). Numerical Methods in Engineering with MATLAB, 3e. Cambridge University Press.

Shiflet, A.B., Shiflet, G.W. (2014). Introduction to Computational Science: Modelling and Simulation for the Sciences, 2e. Princeton University Press.

Siauw, T., Bayern, A. (2015). An Introduction to MATLAB Programming and Numerical Methods for Engineers. Academic Press.

Silva de, C.W., (2009). Modelling and Control of Engineering Systems. CRC Press, Inc.

Smith, D. (2013). Engineering Computation with MATLAB, 3e. Pearson Education Inc.

Xue, D., Chen, Y. (2013). System Simulation Techniques with MATLAB and Simulink. John Wiley & Sons, Inc.

Downloads

Published

2017-05-26

How to Cite

Grabusts, P. (2017). SIMULATION MODELLING POSSIBILITIES IN TEACHING ECONOMIC PROCESSES. SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference, 3, 463-471. https://doi.org/10.17770/sie2017vol3.2435