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Journal articles on the topic 'Economics and mathematical modeling'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Guerrini, Luca. "Mathematical modeling in economics." Physics of Life Reviews 9, no. 4 (2012): 415–17. http://dx.doi.org/10.1016/j.plrev.2012.08.005.

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Artamonov, A. A. "FORMALISM OF PHENOMENOLOGICAL THEORY IN MATHEMATICAL MODELING OF ECONOMIC PROCESSES." Прогрессивная экономика, no. 10 (October 8, 2024): 7–18. http://dx.doi.org/10.54861/27131211_2024_10_7.

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Introduction: In contrast to neoclassical economics, where agents are rational, their actions are rational, and they strive for equilibrium, complex economics proposes to consider systems as evolving, complex, and not necessarily striving for equilibrium. The application of complex economics is particularly relevant in conditions of uncertainty and rapidly changing economic conditions. To develop the tools of complex economics, it is necessary to search for new mathematical approaches; a revolutionary approach in economics could be an approach based on the formalism of phenomenological theory.

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Latysheva, O., and Yu Chupryna. "Economic and Mathematical Modeling in Budgeting." Economic Herald of the Donbas, no. 4 (74) (2023): 32–36. http://dx.doi.org/10.12958/1817-3772-2023-4(74)-32-36.

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The article is devoted to an overview of modern modeling approaches for effective management of enterprise budgets. The article examines the toolkit of economic and mathematical modeling that can be used in the budgeting system. It is proposed to increase the efficiency of the budgeting process by applying the tools of economic and mathematical modeling at the stages of budget development and resource allocation, as well as in the process of budget control and monitoring. To increase the clarity of the simulation procedure and results, a visualization of the TO BE model is presented in IDF0 no

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4

Makarov, Sergey I. "Mathematical modeling skills development among students of universities of economics." Samara Journal of Science 9, no. 2 (2020): 254–57. http://dx.doi.org/10.17816/snv202307.

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This paper discusses approaches to economic and mathematical modeling skills development among students of universities of economics. The need for this competency among specialists in the digital economy is shown. The motivation of the student the future specialist in the digital economy in mastering the basic techniques of economic processes and systems modeling is outlined. The sections of the school course in mathematics are given, which are the basis for the development of these skills. Mathematical courses are examined; their study is considered to be the foundation for the development of

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N.V., Murzina. "MATHEMATICAL METHODS IN ECONOMICS." ИННОВАЦИОННЫЕ НАУЧНЫЕ ИССЛЕДОВАНИЯ 2022. 6-1(20) (September 17, 2022): 87–91. https://doi.org/10.5281/zenodo.7089449.

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The paper deals with mathematical problems using the concepts of covariance and correlation. The article highlights the relationship between mathematics and economics. The object of consideration and study are mathematical concepts and laws, economic phenomena and models. The paper analyzes the basic concepts of economics and the patterns of economic processes. Features of the application of mathematical methods in economics.

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Saikinov, Viktor E., Alexander L. Zolkin, Taisiya G. Garbuzova, and Rasul K. Khubiev. "MATHEMATICAL MODELING IN THE ECONOMIC PROCESS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 8/6, no. 149 (2024): 5–13. http://dx.doi.org/10.36871/ek.up.p.r.2024.08.06.001.

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The article presents an analysis of mathematical models that allow for the assessment and forecasting of economic processes. The purpose of the work is to analyze existing models taking into account current economic conditions and potential development. The research uses methods of econometrics modeling in the analysis of socio-economic processes and their interactions. Attention is paid to the importance of mathematical modeling and improving the accuracy of economic forecasts necessary for making effective management decisions. The authors consider specific models and techniques that are app

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Abduvahobovich, Nazarov Xolmòmin. "MATHEMATICS FOR ECONOMISTS: THE ESSENTIAL TOOLBOX." International Journal of Pedagogics 4, no. 6 (2024): 51–55. http://dx.doi.org/10.37547/ijp/volume04issue06-08.

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Mathematics serves as a cornerstone for the field of economics, providing the essential tools for modeling, analyzing, and solving economic problems. This article delves into the importance of mathematics in economics, exploring key mathematical concepts and methods used by economists to understand and predict economic phenomena. By highlighting the interplay between mathematics and economics, we underscore the necessity of a robust mathematical foundation for both theoretical and applied economic analysis.

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Mokhov, Veniamin, Sergei Aliukov, Anatoliy Alabugin, and Konstantin Osintsev. "A Review of Mathematical Models of Macroeconomics, Microeconomics, and Government Regulation of the Economy." Mathematics 11, no. 14 (2023): 3246. http://dx.doi.org/10.3390/math11143246.

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This review analyzes articles on the mathematical modeling of economic facts and processes. Mathematical modeling of the economy has rapidly developed in the past and current centuries. This is explained by the fact that, firstly, economics does not tolerate full-scale experiments, secondly, mathematical modeling significantly improves the accuracy of research results, and, finally, thirdly, economics becomes a science only when it is based on mathematics. The article presents an overview of the main methods of economic modeling used in scientific research over the past twenty years. The revie

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Khurazovna, Aymatova Farida, and Shamsiyev Damin Najmiddinovich. "Mathematical Modeling of Company Activity." American Journal of Applied Science and Technology 5, no. 3 (2025): 38–41. https://doi.org/10.37547/ajast/volume05issue03-07.

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The article discusses the tasks of mathematical modeling of economic processes, particularly focusing on the mathematical modeling of tourism company activities. Under given conditions, a mathematical model is constructed, an optimal solution is found, and the results are analyzed.

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10

Köhler, Angela D. A. "The Dangers of Mathematical Modeling." Mathematics Teacher 95, no. 2 (2002): 140–45. http://dx.doi.org/10.5951/mt.95.2.0140.

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When setting long-term goals, mathematics teachers face a constant dilemma. Most of us realize that our students will need to be mathematically literate in their future jobs, be able to see the real world through mathematical eyes, and be ready to handle the huge quantities of numbers that will be presented to them in their company's reports and in the news. During most of the school year, however, we give our students problems that are already written in mathematical language. Even the socalled real-life applications often consist of just an equation from physics, medicine, or economics that

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11

Gachaev, Ahmed M., and Artyom E. Buntin. "THE ROLE AND IMPORTANCE OF MATHEMATICS IN ECONOMICS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 5/1, no. 158 (2025): 5–11. https://doi.org/10.36871/ek.up.p.r.2025.05.01.001.

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The purpose of the research is to reveal the role and importance of mathematical methods in modern economic theory and practice. The research objectives included the analysis of the application of mathematical modeling, statistical methods, econometrics and other mathematical tools in various fields of economics. As a result of the research, it has been revealed that mathematics makes it possible to formalize economic processes, make forecasts, optimize decisions, and conduct quantitative analysis of economic phenomena. The practical significance of the research lies in demonstrating the need

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Meilani, Reka. "MATEMATIKA DALAM KEUANGAN SYARIAH." Budgeting: Jurnal Akuntansi Syariah 3, no. 2 (2022): 115–30. http://dx.doi.org/10.32923/bdg.v3i2.2846.

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Mathematical modeling plays a major role in various disciplines. The contribution of mathematical modeling is not only attached to the concepts of general sciences, such as conventional economics and finance, but also includes Islamic sciences, such as Islamic economics and finance. This study aims to reveal the role of mathematics in the development of Islamic economics and finance. This study uses a qualitative approach in the form of library research. The results of the discussion are expressed through the ideas described in two general information, namely: (1) The results of the analysis o

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Трофименко, Ганна Сергіївна. "Comparison of economics and mathematical modeling of economic structures in health area." Technology audit and production reserves 4, no. 2(6) (2012): 19–20. http://dx.doi.org/10.15587/2312-8372.2012.4708.

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14

Tang, Xinyun. "Exploration and Practical Research on the Integration of Modeling Thought into Economics Teaching in Colleges and Universities." Frontiers in Business, Economics and Management 2, no. 3 (2021): 112–16. http://dx.doi.org/10.54097/fbem.v2i3.210.

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How to make students apply their theoretical knowledge to practice and complete the teaching objectives of macro and micro economics through economics teaching reform is a common concern of teachers majoring in economic management in many colleges and universities. Starting from the necessity and significance of modeling thought in economics teaching, this paper demonstrates the practical application of mathematical modeling in economics teaching, and puts forward the way of integrating modeling thought into economics teaching in Colleges and universities.

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Dow, S. "The Use of Mathematics in Economics." Voprosy Ekonomiki, no. 7 (July 20, 2006): 53–72. http://dx.doi.org/10.32609/0042-8736-2006-7-53-72.

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The article examines the history of mathematical methods in economic science and their impact on the structure and factors of development of the modern economic theory. The author considers different features of mathematical modeling in it, giving some examples and analyzing theoretical and methodological issues arising in the process of economic and mathematical research.

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TRUSH, U.L. "Conceptual aspects and the role of economic and mathematical methods and models in business in today's market." Market Relations Development in Ukraine №10(245)2021 108 (December 28, 2021): 47–51. https://doi.org/10.5281/zenodo.5807286.

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The use of mathematical methods in the field of management (in particular, in economics) is the most important area for improving management systems. Economic and mathematical methods and models accelerate the economic analysis, contribute to the fullest consideration of the influence of various factors on the results of activities, increase the accuracy of calculations. Modeling is an important tool for solving many economic problems and, in particular, conducting analytical research. Modeling of economic activity of the enterprise as an object of research involves the development of economic

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17

Zinnes, Dina A. "Musings on Mathematical Modeling." Conflict Management and Peace Science 11, no. 2 (1991): 1–16. http://dx.doi.org/10.1177/073889429101100201.

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18

Alferev, Dmitry. "Economics through the prism of mathematical structures." Artificial societies 17, no. 3 (2022): 0. http://dx.doi.org/10.18254/s207751800010809-8.

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Economics is a human science. But this does not mean that many mathematical tools do not work in it. This only determines that it has its own specifics, and this must be taken into account in the framework of mathematical modeling. Moreover, the humanitarian nature of economic disciplines cannot be the reason for the decisions made in it, based on someone else&apos;s authoritative subjective opinion. Mathematics in its nature allows you to make a really correct and reasonable choice. The article considers a wide range of classical mathematical tools of an economist, which has been develope

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Btemirova, Rita I. "MATHEMATICAL METHODS IN ECONOMICS AND FINANCE." SOFT MEASUREMENTS AND COMPUTING 5, no. 90 (2025): 115–35. https://doi.org/10.36871/2618-9976.2025.05.009.

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The article is devoted to the study of the possibilities of mathematical methods and models that allow solving economic and financial problems. The issues of mathematical modeling in economics, solving financial problems through mathematical methods are considered. The author proves that studying economics using mathematical methods and models is more effective than using only theoretical apparatus. The language of mathematics allows us to substantiate economic phenomena that are important and necessary in economics. The use of mathematical applications to economic and financial issues has led

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20

Palotás, Béla. "Mathematical Modeling on Welding Phenomena." Materials Science Forum 659 (September 2010): 435–40. http://dx.doi.org/10.4028/www.scientific.net/msf.659.435.

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The development of computer technology has been followed by welding as well, in the last 15 years. It is true for software development and it is true for hardware application. The paper gives a summary of computer technology application and mathematical modeling in welding, with a demonstration of software development and modeling activities carried out in Hungary. After some statistical data about software application in welding, this paper demonstrates the differences between handling databases, calculation software and elements of Artificial Intelligence. Some of the most important results

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21

Hodgson, G. "On the Problem of Formalism in Economics." Voprosy Ekonomiki, no. 3 (March 20, 2006): 111–24. http://dx.doi.org/10.32609/0042-8736-2006-3-111-124.

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The author analyses "critical realist" economic methodology with respect to application of mathematical modeling. He indicates strong and weak sides of critical realist argument, putting emphasis on the works by T. Lawson. An alternative view on the role of formal technique in economics is proposed, taking into account the diversity of interpretative contexts while applying mathematical models.

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22

Turkeshi, Neritan, Ilir Demiri, and Shpetim Rexhepi. "Mathematical Models in Economics: Applications of Sequences, Derivatives, and Differential Equations." Asian Journal of Advanced Research and Reports 18, no. 12 (2024): 535–41. https://doi.org/10.9734/ajarr/2024/v18i12849.

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This paper examines the application of mathematical tools—numerical sequences, derivatives, and differential equations—that have important uses within economic analyses on population modeling, investment growth, and population cost. Numerical examples shall be used to illustrate how such a mathematical approach helps in financial decision-making and long-term forecasting. It's expected that this work will provide insight into the benefits of mathematical models in addressing complex economic challenges and make a case for interdisciplinary approaches in economics.

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23

Drogobytskiy, Ivan N. "MODELING ECONOMICAL SYSTEMS: MATHEMATICAL AND STATISTIC METHODS." SOFT MEASUREMENTS AND COMPUTING 11, no. 60 (2022): 115–37. http://dx.doi.org/10.36871/2618-9976.2022.11.010.

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Appearing of the present article is provided with very short passport of the scientific specialty 5.2.2 "Mathematical, statistical and instrumental methods of economics". It was published in the end of the previous year as a part of new nomenclature of the scientific specialties. Now it regulates the process of establishing scientific degrees. The aim of this document is to define the content and structure of this branch in economical science during all the period of its development from the middle of the previous century. It also defines the perspective of scientific researches of the adepts

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24

Ulanchuk, V., O. Zharun, S. Sokolyuk, and O. Tupchy. "Theoretical aspect economic and mathematical model of establishing the optimal plan for the development of agricultural production in cherkasy regio." Collected Works of Uman National University of Horticulture 2, no. 97 (2020): 35–44. http://dx.doi.org/10.31395/2415-8240-2020-97-2-35-44.

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The article deals with peculiarities of application of mathematical methods and models in management of agrarian enterprises. Mathematical modeling is found to be a universal and effective tool for studying the internal laws of certain phenomena and processes. It has been stated that since the solution of economic and mathematical models it is necessary to take into account certain system characteristics and a close connection of qualitative system parameters and how they are resolved. It is noted that a specialist who develops a particular model should have a thorough knowledge of agrarian ec

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Voynarenko, Mykhaylo, Viktoriya Hurochkina, Viacheslav Dzhedzhula, Iryna Yepifanova, and Olena Menchynska. "Applying Fuzzy Logic to Modeling Economic Emergence." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 18 (February 2, 2021): 424–33. http://dx.doi.org/10.37394/23207.2021.18.43.

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Modeling of financial, socioeconomic and integration indicators of fishing enterprises in conditions of uncertainty and constant transformation requires the development of an economic and mathematical model for studying the emergent state, which would be based on a set of main factors of influence of qualitative and quantitative characteristics of the dynamics of functioning. To create an expert modeling system for multi factorial analysis of the processes of functioning and management decisions of industrial enterprises, a mathematical apparatus based on the theory of fuzzy logic and a lingui

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Alukhanyan, Arthur, and Olga Panfilova. "Mathematical modeling in economics for selection of optimum investment solution." E3S Web of Conferences 273 (2021): 08003. http://dx.doi.org/10.1051/e3sconf/202127308003.

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This work is devoted to development of economic and mathematical models for selection of the optimum investment solution. Moreover, it states the basis for development of model examples and correction of the model considering the results obtained in the examples. In the work the problem is set for selection of the investment sources and objects, which is limited to the linear programming problem. The controlled variable and basic limitations simulating real credit and monetary relations are distinguished in the provided model. The discounted profit obtained from implementation of the optimum i

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27

Fechete, Flavia, and Anișor Nedelcu. "Modeling the Economic Performance of Industrial Systems Using Mathematical Programming." Applied Mechanics and Materials 809-810 (November 2015): 1553–58. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.1553.

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Mathematical programming models and especially their subclass - linear programming models - plays an extremely important role, both in theory and in economic practice. Linear programming, through its results, brought a considerable contribution to improving management methods in economics and it has boosted theoretical research in modeling complex economic systems, study and interpretation of laws and economic processes. Developing and designing a model for achieving the economic performance of the industrial system allows managers making optimal decision and ensures the improvement of their a

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Alibekova, Zh D., G. P. Meirbekova, and G. D. Qoshanova. "Formation of Mathematical Thinking in Students Using the Method of Mathematical Modeling." Iasaýı ýnıversıtetіnіń habarshysy 126, no. 4 (2022): 212–24. http://dx.doi.org/10.47526/2022-4/2664-0686.18.

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This article indicates and describes the formation of students' skills in mathematical thinking, shows the connection of mathematics with other disciplines by solving problems with the practical content of the school mathematics course using the method of mathematical modeling. The main goal of mathematics education is the intellectual development of students, the formation of thinking skills necessary for a person to live a full life in society. Therefore, in mathematics lessons, it is better to use pedagogical methods and technologies that develop students' creative and critical thinking. Mo

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SOROKIN, Aleksandr S. "Credit risk management in a microfinance organization based on the unit economics model." Financial Analytics: Science and Experience 18, no. 1 (2025): 101–24. https://doi.org/10.24891/fa.18.1.101.

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Subject. This article discusses the issues of credit risk management in a microfinance organization based on the unit economics model. Objectives. The article aims to develop an effective economic and mathematical model of unit economics for measuring the credit risk of a microfinance organization borrower. Methods. For the study, I used economic and mathematical modeling. Results. The article interprets the concept of Unit Economics in relation to the peculiarities of doing business by a microfinance organization. The article finds that there is no methodology for assessing the unit economics

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KLEIN, EILI, RAMANAN LAXMINARAYAN, DAVID L. SMITH, and CHRISTOPHER A. GILLIGAN. "Economic incentives and mathematical models of disease." Environment and Development Economics 12, no. 5 (2007): 707–32. http://dx.doi.org/10.1017/s1355770x0700383x.

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The fields of epidemiological disease modeling and economics have tended to work independently of each other despite their common reliance on the language of mathematics and exploration of similar questions related to human behavior and infectious disease. This paper explores the benefits of incorporating simple economic principles of individual behavior and resource optimization into epidemiological models, reviews related research, and indicates how future cross-discipline collaborations can generate more accurate models of disease and its control to guide policy makers.

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31

Abilkayeva, Zh N., and M. B. Gabbassov. "Mathematical foundations of modeling economic indicators." Journal of Physics: Conference Series 1988, no. 1 (2021): 012026. http://dx.doi.org/10.1088/1742-6596/1988/1/012026.

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32

Kleiner, George. "The flagship of economic, mathematical and computer modeling: 60 years in line." Economics and the Mathematical Methods 59, no. 3 (2023): 5. http://dx.doi.org/10.31857/s042473880027042-5.

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Main directions and evolution routes of the Central Economics and Mathematics Institute (CEMI) as a leader of domestic economic science in the development and application of economic-mathematical and information-computer models of socio-economic processes and systems were analyzed in the paper. The connection of modeling with such components of the economy as economic theory, economic policy, economic management and economic practice were clarified. It was shown that the economic and mathematical model plays an indispensable role in the integration and systematization of knowledge in the field

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33

Serbenyuk, Symon. "On Some Aspects of the Examination in Econometrics." Journal of Vasyl Stefanyk Precarpathian National University 8, no. 3 (2021): 7–16. http://dx.doi.org/10.15330/jpnu.8.3.7-16.

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Teaching econometrics has been studied by a number of researchers, however, there is little information available on the quality of examination and on simplification of tests for demonstration the high-quality knowledge by students in concrete topics of econometrics or mathematical economics.One can note the following main goals of studying the basics of mathematical economics or econometrics by students: forming the notions of mathematical model and of modeling economic processes and phenomena; understanding a role of using mathematical models for economics research and obtaining scientific r

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34

Voronkova, O. Y., А. M. Zadimidcenko, L. V. Goloshchapova, A. G. Polyakova, S. G. Kamolov, and E. M. Akhmetshin. "Economic and Mathematical Modeling of Regional Industrial Processes." EUROPEAN RESEARCH STUDIES JOURNAL XXI, Issue 4 (2018): 268–79. http://dx.doi.org/10.35808/ersj/1119.

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35

Minina, T. R., V. V. Menshutkin, and N. N. Filatov. "About mathematical modeling in limnology, oceanology, ecology and economics in the works of V.V. Menchutkin." Fundamental and Applied Hydrophysics 17, no. 2 (2024): 119–33. http://dx.doi.org/10.59887/2073-6673.2024.17(2)-10.

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The article gives a brief review of the works of Doctor of Biological Sciences, Prof. V.V. Menshutkin for the 65-year period of scientific activity, which began in the 60s of the XX century with experimental works on the hydrophisics of Lake Baikal and the first mathematical models of the perch population of the small lake Kherya-Yarvi (Karelian Isthmus) and fish community in Lake Dalneye (Kamchatka). The latter was of great practical importance when concluding an agreement with Japan on catch quotas for sockeye salmon.V.V. Menshutkin’s range of interests was very wide and included mathematica

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Bulut, Cihan. "The Role of Mathematics in Economics: Necessity or Contradiction?" London Journal of Social Sciences, no. 9 (May 3, 2025): 20–27. https://doi.org/10.31039/ljss.2025.9.320.

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This study addresses the relationship between economics and mathematics, drawing attention to the fact that although economics is a social science, mathematics plays an important role in understanding economic processes. Due to the complexity of human behavior, it isn't easy to achieve mathematical precision in economics. However, thanks to mathematical tools such as econometrics and modeling, it is possible to plan, predict, and analyze the relationships between economic variables. Therefore, using of mathematics in economics is necessary. It is stated that correlations should be understood i

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He, Yanxuan. "Application of Mathematical Modeling in Social Science." Theoretical and Natural Science 55, no. 1 (2024): 30–33. http://dx.doi.org/10.54254/2753-8818/55/20240160.

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Abstract. With the promotion and application of big data, mathematical models are also more widely referenced in the research and development of different professions. In this paper, the relationship between mathematical modeling and social sciences will be explored by examining the application of mathematical modeling in social sciences through quantitative analysis. In addition, the author is willing to learn about different models related to economics, psychology, and sociology. Based on the analysis, this paper provides relevant suggestions for solving potential problems in the application

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38

Ariyanto, Komang. "Analisis Bibliometrik Trend Penelitian Pemodelan Matematis Menggunakan Database Google Scholar, Publish or Perish, dan Vosviewer." Indo-MathEdu Intellectuals Journal 4, no. 2 (2023): 155–63. http://dx.doi.org/10.54373/imeij.v4i2.150.

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This study aims to identify the topic of the study of mathematical modeling by highlighting publications on Google Scholar from 1951 to 2022. This study uses the Google Scholar citation database for 71 years to collect articles. The keyword used in this research is "mathematical modeling" with a filter of English documents. Simple statistical methods were used, and bibliometric analysis was performed using Publish or Perish and Vos-viewer software. This study visualizes the co-occurrence patterns of keywords and citations. This study reveals a significant research trend in the field of mathema

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��, c., Alexander Rylov, ��, and Larisa Konnova. "Use of Project Method for Initial Training in Case-Study." Standards and Monitoring in Education 3, no. 3 (2015): 23–27. http://dx.doi.org/10.12737/11848.

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Experts in the field of economics should satisfy special requirements in a growing economy, such as fluency in mathematical tools and mathematical modeling. It can be attained through the professionally-oriented planned purposeful education program. The ability to deal with economic problems of specific situations (cases) becomes graduates&#180; important quality. The authors have attempted to start teaching the solving of economic cases in the first year University of Economics as part of the basic mathematical disciplines&#180; course. A comparative analysis of two

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40

Alieva, N. "Economic and Mathematical Modeling of the Innovation Process in the Agro-Industrial Sector." Economic Herald of the Donbas, no. 4 (66) (2021): 29–32. http://dx.doi.org/10.12958/1817-3772-2021-4(66)-29-32.

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Modern scientific research in the field of agriculture is increasingly based on various mathematical calculations. In practice, it is the economic and mathematical models that are of particular importance. These methods and approaches are particularly valuable and widespread in the production environment, but in the modern conditions of production and economic activity, more and more industrial economic entities are faced with the application of mathematical models in order to improve the efficiency of investment resource management.

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ABERGEL, FRÉDÉRIC, and AYMEN JEDIDI. "A MATHEMATICAL APPROACH TO ORDER BOOK MODELING." International Journal of Theoretical and Applied Finance 16, no. 05 (2013): 1350025. http://dx.doi.org/10.1142/s0219024913500258.

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Motivated by the desire to bridge the gap between the microscopic description of price formation (agent-based modeling) and the stochastic differential equations approach used classically to describe price evolution at macroscopic time scales, we present a mathematical study of the order book as a multidimensional continuous-time Markov chain and derive several mathematical results in the case of independent Poissonian arrival times. In particular, we show that the cancellation structure is an important factor ensuring the existence of a stationary distribution and the exponential convergence

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42

Czerwinski, Artur. "Mathematics Serving Economics: A Historical Review of Mathematical Methods in Economics." Symmetry 16, no. 10 (2024): 1271. http://dx.doi.org/10.3390/sym16101271.

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This paper offers a historical review of the evolution of mathematical methods in economics, tracing their development from the earliest attempts in the 18th century to the sophisticated models of the late 20th century. The study begins by examining the initial integration of mathematical techniques into economic thought, highlighting key milestones that shaped the field. Symmetry concepts are naturally embedded in many of these mathematical frameworks, particularly in the balance and equilibrium found in economic models. Symmetry in economics often reflects proportional relationships and equi

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Rogel-Salazar, J. "Stochastic Control and Mathematical Modeling: Applications in Economics, by H. Morimoto." Contemporary Physics 53, no. 3 (2012): 269–70. http://dx.doi.org/10.1080/00107514.2012.661771.

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O’Brien, Carl M. "Stochastic Control and Mathematical Modeling: Applications in Economics by Hiroaki Morimoto." International Statistical Review 79, no. 1 (2011): 143. http://dx.doi.org/10.1111/j.1751-5823.2011.00134_27.x.

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Drogobytskiy, Ivan N. "MODELING THE ECONOMIC SYSTEMS: DESCRIPTIVE, ORGANIZATIONAL AND INSTRUMENTAL METHODS." SOFT MEASUREMENTS AND COMPUTING 10, no. 59 (2022): 63–83. http://dx.doi.org/10.36871/2618-9976.2022.10.007.

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Passport of the new scientific specialty 5.2.2 «Mathematical, statistical and instrumental methods of economics» doesn’t have some positions at all. These are descriptive models, organizational methods and programinstrumental environments. But these positions are highly demanded in the processes of economic scientific researches in order to create solid managerial decisions for the economic systems. In the same time the defined part of modeling and methodological arsenal in the economic researches is being developed constantly. And now its not smaller than the mathematical and statistical part

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Grosser-Clarkson, Dana L., and Joanna S. Hung. "Adaptations to Support the Flint Water Task." Mathematics Teacher Educator 11, no. 2 (2023): 132–38. http://dx.doi.org/10.5951/mte.2022.0029.

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This Perspectives on Practice manuscript focuses on an innovation associated with “Engaging Teachers in the Powerful Combination of Mathematical Modeling and Social Justice: The Flint Water Task” from Volume 7, Issue 2 of MTE. The Flint Water Task has shown great promise in achieving the dual goals of exploring mathematical modeling while building awareness of social justice issues. This Perspectives on Practice article focuses on two adaptations of the task—gallery walks and What I Know, What I Wonder, What I Learned (KWL) charts—that we have found to enhance these learning opportunities. We

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Kasatkina, E. V., and D. D. Vavilova. "Mathematical Model of Optimal Development Enterprise Economics." Statistics and Economics 17, no. 2 (2020): 72–81. http://dx.doi.org/10.21686/2500-3925-2020-2-72-81.

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Purpose of the study. The production sphere of the enterprise is a dynamic system of cash, material and information flows, in the framework of which the final product is formed, distributed between investments in production capital and own consumption. The task of choosing the optimal proportions of the distribution of the final product is relevant and practically significant for corporations in developing economies. The purpose of this work is, using mathematical modeling, to identify strategy for the optimal development of commercial enterprise, based on the volume of investment in factors o

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Vladimirova, Tatyana, Aleksey Manakov, and Viktor Sokolov. "Conceptual framework of economic reliability of production processes." MATEC Web of Conferences 216 (2018): 02008. http://dx.doi.org/10.1051/matecconf/201821602008.

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The study presents the authors' approach to defining economic reliability of production processes; interpretation of the essence, content and mathematical implementation of its parameters. The methodology of study includes classical scientific methods like observation, analysis, synthesis, formalization and logic. Also, some special methods were used like knowledge base and database creation, variance analysis, economical and statistical methods of data processing, economical and mathematical modeling. The authors' approach to control of economic reliability of production processes suggests tr

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Imaraliev, O. R., and K. B. Bakytbek. "MODELING ECONOMIC PROCESSES BY ECONOMIC AND MATHEMATICAL METHODS." Science. Education. Engineering, no. 1 (2022): 110–16. http://dx.doi.org/10.54834/16945220_2021_1_110.

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Drin, Bohdan, Iryna Drin, and Svitlana Drin. "THE NONLINEAR MODEL OF BEHAVIOR OF TWO COMPETITIVE FIRMS." BULLETIN OF CHERNIVTSI INSTITUTE OF TRADE AND ECONOMICS I, no. 81 (2021): 115–28. http://dx.doi.org/10.34025/2310-8185-2021-1.81.08.

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The practical task of economics lies in applying the methods of substantiating its decisions. For economics, the main method is the modeling of economic phenomena and processes and, above all, mathematical modeling, which has been stipulated by the presence of stable MATHEMATICAL METHODS, MODELS AND INFORMATION TECHNOLOGIES IN ECONOMY Issue I (81), 2021 117 quantitative patterns and the possibility of a formalized description of many economic processes. The economic-mathematical model contains a system of equations of linear and nonlinear units that promote a mathematical description of econom

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