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Article Open Access July 28, 2023

Some Software Application of the Monte Carlo Method

Ivan H. Krykun 1,* and Serhii A. Lukhverchyk 2
1
Department of Theory of Control Systems of Institute of Applied Mathematics and Mechanics of NAS of Ukraine, Sloviansk, Ukraine
2
Department of Information Technologies, Vasyl’ Stus Donetsk National University, Vinnytsia, Ukraine
Publihed in: Current Research in Public Health (Volume 1, Issue 1, 2023)
Page(s): 41-50
DOI: 10.31586/ujcsc.2023.704
Received
May 30, 2023
Revised
June 29, 2023
Accepted
July 27, 2023
Published
July 28, 2023
Keywords
Method Monte Carlo; С# program language; random numbers generator; simulation; the number π
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright: Copyright © The Author(s), 2023. Published by Scientific Publications
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Cite This Article

APA Style
Krykun, I. H. , & Lukhverchyk, S. A. (2023). Some Software Application of the Monte Carlo Method. Current Research in Public Health, 1(1), 41-50. https://doi.org/10.31586/ujcsc.2023.704
ACS Style
Krykun, I. H. ; Lukhverchyk, S. A. Some Software Application of the Monte Carlo Method. Current Research in Public Health 2023 1(1), 41-50. https://doi.org/10.31586/ujcsc.2023.704
Chicago/Turabian Style
Krykun, Ivan H., and Serhii A. Lukhverchyk. 2023. "Some Software Application of the Monte Carlo Method". Current Research in Public Health 1, no. 1: 41-50. https://doi.org/10.31586/ujcsc.2023.704
AMA Style
Krykun IH, Lukhverchyk SA. Some Software Application of the Monte Carlo Method. Current Research in Public Health. 2023; 1(1):41-50. https://doi.org/10.31586/ujcsc.2023.704 
@Article{crph704,
AUTHOR = {Krykun, Ivan H. and Lukhverchyk, Serhii A.},
TITLE = {Some Software Application of the Monte Carlo Method},
JOURNAL = {Current Research in Public Health},
VOLUME = {1},
YEAR = {2023},
NUMBER = {1},
PAGES = {41-50},
URL = {https://www.scipublications.com/journal/index.php/UJCSC/article/view/704},
ISSN = {2831-5162},
DOI = {10.31586/ujcsc.2023.704},
ABSTRACT = {We study the using the Monte Carlo method and its application. Below are several examples of software implementations of the Monte Carlo method for performing calculations that will allow us to determine the necessary information in cases where probability can be applied. Below is a software implementation of the examples in the C# programming language. The programs have a desktop interface and allow us to calculate such values as the number π and the time required to perform certain actions.},
}
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AB  - We study the using the Monte Carlo method and its application. Below are several examples of software implementations of the Monte Carlo method for performing calculations that will allow us to determine the necessary information in cases where probability can be applied. Below is a software implementation of the examples in the C# programming language. The programs have a desktop interface and allow us to calculate such values as the number π and the time required to perform certain actions.
DO  - Some Software Application of the Monte Carlo Method
TI  - 10.31586/ujcsc.2023.704
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