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Journal articles on the topic 'Mathematical modelling in economics'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Rai, Birendra K., Chiu Ki So, and Aaron Nicholas. "A PRIMER ON MATHEMATICAL MODELLING IN ECONOMICS." Journal of Economic Surveys 26, no. 4 (2010): 594–615. http://dx.doi.org/10.1111/j.1467-6419.2010.00655.x.

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2

Chvatalova, Zuzana, and Iveta Simberova. "ECONOMIC PHENOMENA VIA MATHEMATICAL MODELLING IN MAPLE SYSTEM." Business, Management and Education 9, no. 2 (2011): 260–76. http://dx.doi.org/10.3846/bme.2011.18.

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Nowadays, economics utilizes more and more frequently quantitative methods. This is an important phenomenon in the process of education. The paper deals with application of the Maple system for on-line creation of mathematical models in economic sectors. Means of Maple represent an important challenge for application in practice or research – resolve specific problems, apply mathematical models in many science fields, create intelligent documents for the presentation of modelling and analyses with computations, visualizations, animations, simulations. The paper incorporates selected samples of

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Kravtsova, L. V. "Mathematical modelling in economic processes." Information Technologies in Education, no. 1 (April 12, 2008): 60–65. http://dx.doi.org/10.14308/ite000008.

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4

Serra, Pablo. "Mathematical modelling and economic evaluation." Mathematical Modelling 8 (1987): 718–22. http://dx.doi.org/10.1016/0270-0255(87)90676-2.

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5

Aldibekova, N. B., A. V. Tyan, I. G. Omarov, A. Mohamed та L. M. Alimzhanova. "Использование математического моделирования и программного обеспечения в управлении проектными рисками". INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES 2, № 1(5) (2021): 119–28. http://dx.doi.org/10.54309/ijict.2021.05.1.016.

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The study describes the existing methods for quantitative and qualitative risk analysis and risk assessment software. The field of mathematical modelling is very much developing in economics, allow-ing for more in-depth research. Risk management also requires accurate justification of decisions about the importance of risk, which is made possible by accurate quantitative calculations, including mathematical modelling. The decision-making process within the project is based on the results of visual analysis, i.e., the study of the risk profile and the cumulative risk profile derived from the si

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Ручинська, Наталія Сергіївна. "ЕКОНОМІКО-МАТЕМАТИЧНЕ МОДЕЛЮВАННЯ В СИСТЕМІ ЕКОНОМІЧНИХ ДОСЛІДЖЕНЬ". Bulletin of the Kyiv National University of Technologies and Design. Series: Economic sciences 129, № 6 (2019): 48–55. http://dx.doi.org/10.30857/2413-0117.2018.6.5.

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Contemporary realia of transformational processes in Ukraine's economy drive the need for implementation of a specific toolkit that seamlessly integrates a range of mathematical methods to solve economic problems. Mathematical economic models are increasingly becoming indispensable tools for modern theoretical and applied economics. However, the self-sufficiency of this research approach has been repeatedly questioned due to a number of organizational and institutional challenges in the economic science and education domains, as well as in the context of functional changes in the economy as a

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Zitko, Mislav. "Models, fictions and explanations: A study in historical epistemology of economics." Filozofija i drustvo 24, no. 4 (2013): 84–101. http://dx.doi.org/10.2298/fid1304084z.

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This paper examines the standard criticism of the neoclassical economic theory that takes mathematical formalism and the practice of modelling as the most problematic aspect of orthodox economics. The aim of the paper is to explore the epistemic properties of models in science (particularly in economics), and to incorporate the insights from the recent debates in the philosophy of science into the framework of historical epistemology of economics. The main claim of this paper is that history is important for understanding how economic models operate and why have they been accepted as legitimat

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PILIUGIN, Yev D., N. O. ROTT, M. A. MYRONENKO, A. V. DMYTRIYEV, and O. M. TVERDOKHLIB. "MODELLING THE INFLUENCE OF WELDING MODES ON THE MECHANICAL PROPERTIES OF WELDED JOINTS." Physical Metallurgy and Heat Treatment of Metals, no. 2 (101) (October 21, 2023): 67–72. http://dx.doi.org/10.30838/j.pmhtm.2413.040723.67.986.

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Introduction. Welding is one of the most common and effective methods of joining metal structures, which is used in many industries, from the automotive to the oil industry. However, in the process of welding, the joints are subjected to significant thermal and mechanical loads, which can lead to defects and a decrease in the mechanical properties of welded joints. The main part. Modelling the influence of welding modes can be performed using various methods, such as mathematical modelling based on the laws of physics and mechanics, experimental studies of welded joints and their analysis, or

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9

Plotnitsky, Arkady. "The visualizable, the representable and the inconceivable: realist and non-realist mathematical models in physics and beyond." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 374, no. 2058 (2016): 20150101. http://dx.doi.org/10.1098/rsta.2015.0101.

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The project of this article is twofold. First, it aims to offer a new perspective on, and a new argument concerning, realist and non-realist mathematical models, and differences and affinities between them, using physics as a paradigmatic field of mathematical modelling in science. Most of the article is devoted to this topic. Second, the article aims to explore the implications of this argument for mathematical modelling in other fields, in particular in cognitive psychology and economics.

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Menshutkin, Vladimir V., and Tatyana R. Minina. "MATHEMATICAL MODELLING OF THE IMPACT OF ECONOMIC ACTIVITIES ON NATURAL ENVIRONMENT." Economy of the North-West: problems and prospects of development 2, no. 77 (2024): 78–86. http://dx.doi.org/10.52897/2411-4588-2024-2-78-86.

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The emergence and rapid development of computer technology determined the research area of many scientists in the early 60’s of the XX century. Despite the disproportionally small processing speed and memory compared to modern computers, it was possible to carry out time-consuming calculations and process large volumes of information on the first (huge) computers. Given the review of results on mathematical modelling of the impact of economic activity on natural environment, achieved by scientists working in various periods of research activity, starting from the early 60s of the XX century, i

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Lánský, Jan, Jiří Mihola, and Petr Wawrosz. "Mathematical Modelling of Qualitative System Development." Mathematics 10, no. 15 (2022): 2752. http://dx.doi.org/10.3390/math10152752.

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Many scientific fields need to know how human systems develop. From an economic point of view, the main factors of system output change are changes in the quantity of inputs (extensive factors) and changes in efficiency (input quality and productivity, intensive factors). The growth accounting (GA) method is used for the calculation of the impact of both factors on GDP change. However, its interpretation is sometimes difficult, and GA does not cover all of the possible situations of system (country economy) development. This article uses mathematical tools to derive new indicators (dynamic int

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Bucur, Amelia. "About Applications of the Fixed Point Theory." Scientific Bulletin 22, no. 1 (2017): 13–17. http://dx.doi.org/10.1515/bsaft-2017-0002.

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Abstract The fixed point theory is essential to various theoretical and applied fields, such as variational and linear inequalities, the approximation theory, nonlinear analysis, integral and differential equations and inclusions, the dynamic systems theory, mathematics of fractals, mathematical economics (game theory, equilibrium problems, and optimisation problems) and mathematical modelling. This paper presents a few benchmarks regarding the applications of the fixed point theory. This paper also debates if the results of the fixed point theory can be applied to the mathematical modelling o

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SIMONS, R. V. "Mathematical Programming Modelling Using MGG." IMA Journal of Management Mathematics 1, no. 4 (1986): 267–76. http://dx.doi.org/10.1093/imaman/1.4.267.

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Nikonova, Alla A. "Development of domestic meso-economy: Theory and practice." Economics of Contemporary Russia, no. 1 (April 16, 2024): 115–18. http://dx.doi.org/10.33293/1609-1442-2024-1(104)-115-118.

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The article outlines the main content of the participants’ reports at the presentation of the monograph “System-oriented modelling of the real sector of the Russian meso-economy”, prepared by scientific researchers of the Central Economics and Mathematics Institute of the Russian Academy of Sciences (CEMI RAS). The monograph presents the study results of the current problems in the development of the domestic meso-economy using the methods of economic and mathematical modelling and system analysis.

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15

Ural, Alattin. "A Classification of Mathematical Modeling Problems of Prospective Mathematics Teachers." Journal of Educational Issues 6, no. 1 (2020): 98. http://dx.doi.org/10.5296/jei.v6i1.16566.

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The purpose of this research is to classify the mathematical modelling problems produced by pre-service mathematics teachers in terms of the number of variables and to determine the mathematical modelling skills and mathematical skills used in solving the problems in each class. The current study is a qualitative research and the data was analyzed using descriptive analysis. The data of the study was obtained from the mathematical modelling problem written by 59 senior mathematics teachers. They were given a 1-week period to write the problems and solutions. The participants took mathematical

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Mirjam, E. Kretzschmar, Ashby Ben, Fearon Elizabeth, et al. "Challenges for modelling interventions for future pandemics." Epidemics 38, no. 100546 (2022): 1–13. https://doi.org/10.1016/j.epidem.2022.100546.

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Mathematical modelling and statistical inference provide a framework to evaluate different non-pharmaceutical and pharmaceutical interventions for the control of epidemics that has been widely used during the COVID-19 pandemic. In this paper, lessons learned from this and previous epidemics are used to highlight the challenges for future pandemic control. We consider the availability and use of data, as well as the need for correct parameterisation and calibration for different model frameworks. We discuss challenges that arise in describing and distinguishing between different interventions,

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17

Gelrud, Ya D., L. I. Shestakova, E. V. Gusev, V. L. Kodkin, and V. I. Shiriaev. "Modelling political processes in a multicriterial setting." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 24, no. 3 (2024): 111–23. http://dx.doi.org/10.14529/ctcr240310.

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A political process is a complex management system that includes, for instance, economics, electoral processes, and ecology. To make decisions when managing such a system, it is necessary to use some rules that allow to intentionally choose the best or an acceptable option. Such rules are called performance criteria. This paper discusses problems that affect different aspects of the management systems of political processes, and when choosing a solution, it is necessary to evaluate options using several criteria. These are called multicriteria problems. They emerge in strategic planning of a s

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18

Okrepilov, Vladimir, Natalia Chetyrkina, and Mikhail Krylov. "The role of elements of the Economics of Quality in mathematical modelling of socio-economic processes." E3S Web of Conferences 138 (2019): 02008. http://dx.doi.org/10.1051/e3sconf/201913802008.

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Nowadays, when making managerial decisions, specialists are faced with the need to process ever-increasing volumes of information in an increasingly shorter time. The need for the development of a methodology for social forecasting on the basis of detailed development models is growing. Since the basis of the activity of the socio-economic system of any level is an anthropogenic factor, this increases the degree of probability of the implementation of various scenarios. To develop more accurate forecasts, it is necessary to use the tools of the economics of quality standardization, metrology,

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19

Venkatachalapathi Uday and Gautam Kumar Rajput. "Differential Equations: The Mathematical Framework for Modelling Dynamic Systems." IJCRT Journal | UGC Approved Journal | Scopus Indexed Journal Norms 14, no. 4 (2024): 1–4. http://dx.doi.org/10.61359/2024050028.

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Differential equations are essential tools in the mathematical Modelling of dynamic systems, providing a framework for describing phenomena that evolve over time or space. These equations are used across diverse fields, including physics, engineering, biology, economics, and social sciences, to capture the behavior of systems governed by rates of change. This paper explores the role of differential equations in Modelling dynamic systems, presents different types of differential equations, discusses solution methods, and examines the applicability and challenges associated with their use. Throu

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20

Rademeyer, Maryke C., Richard C. A. Minnitt, and Rosemary M. S. Falcon. "A mathematical optimisation approach to modelling the economics of a coal mine." Resources Policy 62 (August 2019): 561–70. http://dx.doi.org/10.1016/j.resourpol.2018.11.003.

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21

Zamryga, Arthur Viktorovich. "Effectiveness analysis of WHEAT growth using elements of Mathematical Modelling in Economics." Krasnoyarsk Science, no. 5 (December 20, 2015): 88. http://dx.doi.org/10.12731/2070-7568-2015-5-88-100.

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22

Augeraud-Véron, Emmanuelle, Raouf Boucekkine, and Vladimir M. Veliov. "Distributed optimal control models in environmental economics: a review." Mathematical Modelling of Natural Phenomena 14, no. 1 (2019): 106. http://dx.doi.org/10.1051/mmnp/2019016.

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We review the most recent advances in distributed optimal control applied to Environmental Economics, covering in particular problems where the state dynamics are governed by partial differential equations (PDEs). This is a quite fresh application area of distributed optimal control, which has already suggested several new mathematical research lines due to the specificities of the Environmental Economics problems involved. We enhance the latter through a survey of the variety of themes and associated mathematical structures beared by this literature. We also provide a quick tour of the existi

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23

Bretschger, Lucas, and Christos Karydas. "Economics of climate change: introducing the Basic Climate Economic (BCE) model." Environment and Development Economics 24, no. 6 (2019): 560–82. http://dx.doi.org/10.1017/s1355770x19000184.

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AbstractEnvironmental economics models are often too complex to be communicated in an illustrative manner. For this reason, this paper develops the Basic Climate Economic (BCE) model that features core elements of macroeconomic and climate economic modelling, while allowing for an illustrative examination of the development path. The BCE model incorporates fossil stock depletion, pollution stock accumulation, endogenous growth, and climate-induced capital depreciation. We first use graphical analysis to show the effects of climate change and climate policy on economic development. Intuition fo

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24

Garkushenko, Оksana. "Economic and mathematical modelling of investments in Ukraine." Economy of Industry 3, no. 99 (2022): 41–56. http://dx.doi.org/10.15407/econindustry2022.03.041.

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Investments, primarily in manufacturing, are a guarantee that enterprises will be able to update their production assets in a timely manner and maintain or even strengthen their position in markets of goods and services. However, the issue of defining factors that affect the volume and dynamics of investments is quite problematic, which makes it difficult to create appropriate economic and mathematical models. Foreign and Ukrainian scientists have long been engaged in determining such factors. Usually, they include: GDP per capita of the country; the rate of economic growth; national savings;

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25

Sinitsyn, E. V., A. V. Tolmachev, and D. A. Brusyanin. "Mathematical Modelling of Regional Cargo and Passenger Flows." Economy of Region 15, no. 4 (2019): 1212–25. http://dx.doi.org/10.17059/2019-4-19.

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26

Mäki, Uskali. "Mark Blaug's unrealistic crusade for realistic economics." Erasmus Journal for Philosophy and Economics 6, no. 3 (2014): 87. http://dx.doi.org/10.23941/ejpe.v6i3.152.

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Mark Blaug's normative methodology of economics is an attempt to articulate certain intuitions about how economic science could be improved by making it more "realistic". I discuss two such articulations, one in terms of falsificationist principles, the other in terms of an alleged trade-off between relevance and mathematical rigour. My conclusion is that Blaug's methodology is itself unrealistic, both descriptively and normatively. His (well intended) methodological prescriptions for the improvement of economics are not based on a systematic, consistent, descriptively adequate, and normativel

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27

Waltham, David. "Mathematical modelling of sedimentary basin processes." Marine and Petroleum Geology 9, no. 3 (1992): 265–73. http://dx.doi.org/10.1016/0264-8172(92)90075-p.

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28

Buychik, Alexander, and Peter Komissarov. "Development of new mathematical methods and algorithms for verifying the adequacy of mathematical models of objects based on data from a natural experiment to determine the functional stability area." European Scientific e-Journal 23, no. 8 (2022): 49–72. https://doi.org/10.47451/inn2022-12-01.

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The relevance of the development of applied mathematical modelling, which includes numerical methods and software packages in its problem area, its importance for the entire economic activity of the country as a whole, is due to the intensive digitalisation and computerisation of all technological chains of production processes. The integration of production support and various databases, as well as all parts of production and their effective management, require the development of comprehensive research of mathematical methods for modelling production processes. To date, mathematical modelling

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29

Bula, I. "DISCONTINUOUS FUNCTIONS IN GALE ECONOMIC MODEL." Mathematical Modelling and Analysis 8, no. 2 (2003): 93–102. http://dx.doi.org/10.3846/13926292.2003.9637214.

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The concept of a general economic equilibrium based on balance of supply and demand has played a central role in theoretical economics since very beginning. One of the basic assumptions in mathematical modelling of the equilibrium economic model is the continuity of functions describing the model. This article analyses simplified version of Gale model from year 1955 by weakening the condition of strict convexity and continuity of utilities functions and proving existence of quasi‐equilibrium in generalized Gale model. MSC 2000: 91B24, 91B42, 91B50, 26A15.

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30

Lu, Xiaoli, and Gabriele Kaiser. "Can mathematical modelling work as a creativity-demanding activity? An empirical study in China." ZDM – Mathematics Education 54, no. 1 (2021): 67–81. http://dx.doi.org/10.1007/s11858-021-01316-4.

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AbstractCreativity has been identified as a key characteristic that allows students to adapt smoothly to rapid societal and economic changes in the real world. However, Chinese students appear to perform less well in mathematical problem-solving and problem-posing abilities, which are strongly connected to mathematical creativity. Mathematical modelling has recently been introduced as one of the six core competencies in the Chinese mathematical curriculum and is built on students’ ability to solve real-world problems using mathematical means. As mathematical modelling is characterised by openn

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31

Simonovits, A. "New results in pension modelling." Acta Oeconomica 51, no. 2 (2001): 173–200. http://dx.doi.org/10.1556/aoecon.51.2000-2001.2.2.

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In a former paper (Simonovits, 1999), I have discussed the problems of the new Hungarian pension system verbally. In this paper I will present some new results obtained by others and myself with mathematical models, which are related to the Hungarian pension reform (see e.g. Palacios and Rocha, 1998). (1) How can one model a pension system with the life-cycle theory? (Of course, this is introduction rather than new result.) (2) How is the model of a funded system modified if volatility of yields and operating costs are taken into account? (3) What would the actuarially fair model be in an unfu

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Chinnaraji Annamalai. "Analysis and Modelling of Annamalai Computing Geometric Series and Summability." Mathematical Journal of Interdisciplinary Sciences 6, no. 1 (2017): 11–15. http://dx.doi.org/10.15415/mjis.2017.61002.

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This paper presents a mathematical model for the formation as well as computation of geometric series in a novel way. Using Annamalai computing methoda simple mathematical model is established for analysis and manipulation of geometric series and summability.This new modelcould be used in the research fields of physics, engineering, biology, economics, computer science, queueing theory, and finance. In this paper, a novel computational model had also been developed such that a∑i=k∞ yi=ayk/1-y and ∑i=0∞ ∑j=i∞ ayj=a/(1-y)2,(0<y<1). This could be very interesting and informative for current

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Kizimov, M., A. Vinichenko, and D. Lomovcev. "The Economic and Mathematical Modelling on the Chemical Enterprises." Scientific Research and Development. Economics 11, no. 6 (2023): 21–26. http://dx.doi.org/10.12737/2587-9111-2023-11-6-21-26.

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The economic and mathematical modelling questions for the chemical industry are investigated in the article: from the technological load optimization of the manufacturing equipment to the selection of the perspective investment projects. The authors develop computational tooling for the diversification arrangements plan of the JSC «Plastic» and the development program for the industrial park, based on it.

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Kardash, Oksana, and Liubomyr Hladun. "Economic and mathematical modelling of food security in Ukraine." International Journal of Risk Assessment and Management 20, no. 4 (2017): 285. http://dx.doi.org/10.1504/ijram.2017.087900.

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Hladun, Liubomyr, and Oksana Kardash. "Economic and mathematical modelling of food security in Ukraine." International Journal of Risk Assessment and Management 20, no. 4 (2017): 285. http://dx.doi.org/10.1504/ijram.2017.10008736.

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S.J., Mulani, and Awasare A.D. "Mathematical Modelling for Gas Separation Membrane: Review." Research and Reviews: Journal of Mechanics and Machines 5, no. 2 (2023): 1–5. https://doi.org/10.5281/zenodo.8041991.

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<em>The advantages of operational ease, economic viability, low maintenance, low energy consumption, small size, and dependable performance, gas separation using a membrane is an effective alternative to traditional processes. Air oxygen enrichment, carbon dioxide recovery, volatile organic compound recovery, air dehumidification, helium recovery from natural gas, natural gas sweetening, landfill gas upgrading, nitrogen production, hydrogen recovery from refinery and syngas ratio adjustment, and ammonia synthesis purge gases all make use of polymeric membranes. The creation of high-permeabilit

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Maude, Richard J., Yoel Lubell, Duong Socheat, et al. "The role of mathematical modelling in guiding the science and economics of malaria elimination." International Health 2, no. 4 (2010): 239–46. http://dx.doi.org/10.1016/j.inhe.2010.09.005.

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Babenko, Kristina, and Yulia Dyvynska. "STRATEGIC COMMUNICATIONS MODELING: ECONOMIC-MATHEMATICAL APPROACHES TO ORGANIZATIONAL CHANGE MANAGEMENT." Actual Problems of Economics 2, no. 282 (2024): 18–23. https://doi.org/10.32752/1993-6788-2024-2-282-18-23.

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The article explores the modelling of strategic communications using economic-mathematical approaches to organizational change management. System dynamics models, agent-oriented modelling, and network analysis are considered, which contribute to the optimization of communication processes. The article emphasizes the importance of effective communication for reducing resistance to change, increasing the adaptability of organizations, and achieving strategic goals. Recommendations are provided for the implementation of models to improve management decisions and ensure the successful implementati

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Clark, Colin W. "Modelling the behaviour of fishers and fishes." ICES Journal of Marine Science 75, no. 3 (2017): 932–40. http://dx.doi.org/10.1093/icesjms/fsx212.

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Abstract I describe my personal evolution as a modeller of behaviour, both human and (non-human) animal behaviour, using dynamic state-variable models. At first I worked in renewable resource Economics, especially the economics of marine fisheries where I collaborated extensively with Gordon R. Munro. Subsequently, in collaboration with Marc Mangel (and many field biologists) I worked in Behavioural Ecology. Mathematical models have played a major role in both of these subjects, but until recently mostly static models were used, on the grounds that dynamic (not to mention stochastic) models we

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MEDIO, ALFREDO, MARINA PIREDDU, and FABIO ZANOLIN. "CHAOTIC DYNAMICS FOR MAPS IN ONE AND TWO DIMENSIONS: A GEOMETRICAL METHOD AND APPLICATIONS TO ECONOMICS." International Journal of Bifurcation and Chaos 19, no. 10 (2009): 3283–309. http://dx.doi.org/10.1142/s0218127409024761.

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This article describes a method — called here "the method of Stretching Along the Paths" (SAP) — to prove the existence of chaotic sets in discrete-time dynamical systems. The method of SAP, although mathematically rigorous, is based on some elementary geometrical considerations and is relatively easy to apply to models arising in applications. The paper provides a description of the basic mathematical ideas behind the method, as well as three applications to economic models. Incidentally, the paper also discusses some questions concerning the definition of chaos and some problems arising from

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PUKHALSKA, I. "CHOICE OF ECONOMIC AND MATHEMATICAL MODELS FOR LOGISTIC ACTIVITY OF INDUSTRIAL ENTERPRISES." Herald of Khmelnytskyi National University. Economic sciences 282, no. 3 (2020): 114–17. https://doi.org/10.31891/2307-5740-2020-282-3-20.

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Constant changes in the situation on the industry market and the growth of information requires the leaders of the food industry to use modern advances in science and technology. The most important role is played by economic and mathematical models that ensure the adoption of modern and optimal management decisions. Every industrial enterprise is faced with the need to solve the problem of delivery of factors of production (resources and funds) or finished products simultaneously to several places or to several customers. Therefore, any modern enterprise is a complex dynamic logistics system w

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Barons, Martine Jayne, and Rachel L. Wilkerson. "Proof and Uncertainty in Causal Claims." Exchanges: The Interdisciplinary Research Journal 5, no. 2 (2018): 72–89. http://dx.doi.org/10.31273/eirj.v5i2.238.

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Causal questions drive scientific enquiry. From Hume to Granger, and Rubin to Pearl the history of science is full of examples of scientists testing new theories in an effort to uncover causal mechanisms. The difficulty of drawing causal conclusions from observational data has prompted developments in new methodologies, most notably in the area of graphical models. We explore the relationship between existing theories about causal mechanisms in a social science domain, new mathematical and statistical modelling methods, the role of mathematical proof and the importance of accounting for uncert

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Harré, Michael S. "Entropy, Economics, and Criticality." Entropy 24, no. 2 (2022): 210. http://dx.doi.org/10.3390/e24020210.

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Information theory is a well-established method for the study of many phenomena and more than 70 years after Claude Shannon first described it in A Mathematical Theory of Communication it has been extended well beyond Shannon’s initial vision. It is now an interdisciplinary tool that is used from ‘causal’ information flow to inferring complex computational processes and it is common to see it play an important role in fields as diverse as neuroscience, artificial intelligence, quantum mechanics, and astrophysics. In this article, I provide a selective review of a specific aspect of information

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Oleksandr, Popov, Shmatko Nataliia, Budanov Pavlo, Pantielieieva Iryna, and Brovko Kostiantyn. "COSTEFFECTIVENESS IN MATHEMATICAL MODELLING OF THE POWER UNIT CONTROL." Eastern-European Journal of Enterprise Technologies 6, no. 3 (102) (2019): 39–48. https://doi.org/10.15587/1729-4061.2019.183422.

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The authors of the study have analysed the criteria for increasing cost-effectiveness in the operation of power-generating equipment of power units at TPPs and NPPs. The existing methods of calculating the cost-effectiveness disregard factors that lead to economic costs during shutdowns of the power unit and reduce the energy consumer load. A significant factor in increasing cost-effectiveness of the automated control systems at a power unit of a power plant is the compulsory checking to detect a low level of information reliability. It is proved that reliability of the power unit technologica

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Bannova, K. A., and N. E. Aktaev. "Mathematical modelling of optimal tax trajectory within the framework of Cobb-Douglas model." Applied Economics Letters 27, no. 17 (2019): 1451–57. http://dx.doi.org/10.1080/13504851.2019.1688240.

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Khariv, A., and A. Lagun. "AUTOMATED MODELING AND FORECASTING SYSTEM OF ENTERPRISE ACTIVITIES." Bulletin of Lviv State University of Life Safety 23 (June 30, 2021): 20–26. http://dx.doi.org/10.32447/20784643.23.2021.03.

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Introduction. Mathematical methods and models are an effective tool for studying complex economic systems at different levels of enterprise management. Economic mathematical modelling is actively developing not only as a scien-tific field but also as a means of substantiating management decisions in business, in the analysis and forecasting of socio-economic processes and phenomena. In the arsenal of economic and mathematical modelling now are using- modern computing methods and computer technology. Libraries of economic and mathematical models are an integral part of the architecture of decis

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Kovalchuk, Olha, and Olena Hyryla. "Modelling economic dimensions of global sustainable development." Herald of Ternopil National Economic University, no. 1(91) (January 1, 2019): 117–30. http://dx.doi.org/10.35774/visnyk2019.01.117.

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The article reveals the problems of “measuring” economic dimensions of global sustainable development of modern society, improves the existing set of indicators for an adequate quantitative assessment of economic growth and develops optimal mathematical models for integrated assessment of economic dimensions of global sustainable growth. The subject matter of the study includes the most important challenges of sustainability and direction relevant to economic activities, and also the main indicators of effectiveness of public economic policy, which provide information and scientific knowledge

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Sahai, Yogesh. "Computer/Mathematical Modelling in Materials Processing Operations." Mineral Processing and Extractive Metallurgy Review 9, no. 1 (1992): 1–26. http://dx.doi.org/10.1080/08827509208952691.

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KENNEDY, G. "Modelling time-dependent intrest rates by mathematical formula*." IMA Journal of Management Mathematics 4, no. 4 (1992): 317–30. http://dx.doi.org/10.1093/imaman/4.4.317.

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Syamsundar, A., and V. N. A. Naikan. "Mathematical modelling of maintained systems using point processes." IMA Journal of Management Mathematics 20, no. 3 (2008): 275–301. http://dx.doi.org/10.1093/imaman/dpn037.

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