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Journal articles on the topic 'Economic and mathematical models'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Kogalovsky, M. R. "Digital Libraries of Economic-Mathematical Models: Economic-Mathematical and Information Models." Market Economy Problems, no. 4 (2018): 89–97. http://dx.doi.org/10.33051/2500-2325-2018-4-89-97.

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Naydenov, Nikolay Dmitriyevich, Vasily Igorevich Spiryagin, and Elena Nikolayevna Novokshonova. "ECONOMIC-MATHEMATICAL CLUSTER’S MODELS." Sovremennye issledovaniya sotsialnykh problem, no. 9 (November 15, 2015): 415. http://dx.doi.org/10.12731/2218-7405-2015-9-31.

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3

Gachaev, Ahmed M., and Rustam R. Salgiriev. "STRATEGIES FOR APPLYING MATHEMATICAL MODELS IN THE ECONOMIC SPHERE." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 2/9, no. 155 (2025): 5–10. https://doi.org/10.36871/ek.up.p.r.2025.02.09.001.

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Mathematics and economics are closely related. One might even say that all economic research and decision-making require mathematical analysis and calculation. As mathematical models become more quantitative and quantifiable in economic analysis, they play an increasingly important role in the field of economics. Therefore, the research conducted in the article on strategies for applying mathematical models in the economic sphere has important economic significance and mathematical value.

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4

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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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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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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Kazievich, Sauxanov Janibek, and Beknazarova Gulnara Jumabaevna. "ECONOMIC-MATHEMATICAL MODELS OF DEVELOPMENT OF OPTIMAL FEED RATION FOR LIVESTOCK." International Journal Of Management And Economics Fundamental 4, no. 1 (2024): 52–54. http://dx.doi.org/10.37547/ijmef/volume04issue01-09.

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For the application of economic and mathematical methods in practical activities in modern conditions, material, scientific and personnel prerequisites have been created. Their use makes it possible to carry out complex and very time-consuming calculations that were previously impossible. The article considers economic and mathematical methods, features of their application in livestock.

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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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9

Debreu, Gerard. "Theoretic Models: Mathematical Form and Economic Content." Econometrica 54, no. 6 (1986): 1259. http://dx.doi.org/10.2307/1914299.

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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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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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12

Novoseletskyy, Oleksandr, Sabina Jurkaitienė, and Ostap Melnyk. "SIMULATION OF THE EXCHANGE RATE USING ECONOMIC AND MATHEMATICAL METHODS." Scientific Notes of Ostroh Academy National University, "Economics" Series 1, no. 27(55) (2022): 104–15. http://dx.doi.org/10.25264/2311-5149-2022-27(55)-104-115.

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The article is devoted to a comparative analysis of the use of adaptive methods and models, autoregressive models and neural networks in forecasting the exchange rate of the main reserve currencies: the euro, the Swiss franc, the Japanese yen and the British pound against the US dollar. In the course of the research, the works of Ukrainian and foreign scientists on this topic were reviewed and it was determined that the most used methods and models in forecasting the exchange rate based on time series are autoregression models (represented by ARIMA and SARIMA models), neural networks (represen

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13

Koshcheeva, A. K., A. V. Bryndin, and A. N. Zyuzin. "NEW MATHEMATICAL MODELS OF INNOVATIVE DEVELOPMENT." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 12/22, no. 153 (2024): 14–25. https://doi.org/10.36871/ek.up.p.r.2024.12.22.002.

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The article provides an overview of new mathematical models of innovative de-velopment. The emergence of models of the influence of culture and institutions on economic development, the use of reflexive logic to solve previously unsolvable problems of opportunism of economic agents, and methods for designing business processes of innovative activity are noted.

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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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Sun, Richie. "Economic Mathematical Models: Examining Their Impact on Individuals." Advances in Economics, Management and Political Sciences 50, no. 1 (2023): 16–22. http://dx.doi.org/10.54254/2754-1169/50/20230542.

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Economic mathematical models are essential tools for comprehending intricate economic phenomena, shaping policies, and aiding decision-making. This paper provides a comprehensive analysis of the positive and negative effects of these models on individuals in the context of economic analysis and decision-making. The benefits of economic mathematical models lie in their ability to enhance understanding through data-driven approaches and advanced algorithms, enabling evidence-based policy formulation and solutions to economic challenges. Moreover, economic models play a crucial role in policy for

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16

Zheng, Kai, and Yisheng Liu. "Application of Mathematical Models in Economic Variable Input and Output Models under the Scientific Visualization." Computational Intelligence and Neuroscience 2022 (February 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/6269358.

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At present, with the development of society and economy, some new problems have emerged continuously. Among them, the more serious problem is that enterprises pay too much attention to economic benefits, which leads to problems in the development of many enterprises. Therefore, the problem caused by too much emphasis on economic benefits is one of the major economic problems. After this problem, our country’s economy began to focus on economic input and output in the subsequent development process. And, related personnel have also studied the economic input-output technology and model, which i

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17

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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18

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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19

SHAMIN, R. V., P. YU GROSHEVA, and S. O. GOLOVANOV. "MATHEMATICAL MODEL OF ECONOMIC INFORMATION." Computational nanotechnology 11, no. 1 (2024): 48–56. http://dx.doi.org/10.33693/2313-223x-2024-11-1-48-56.

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This article shows that economic information can be formally described using an information field, which is a topological space with an introduced system of subsets that is closed with respect to the union operation. This system of subsets consists of information quanta - sets of information that can be used by a subject when making economic decisions. On this information field, a set function is introduced, defined on information quanta, which has the meaning of the economic value of the information quanta when the subject solves an economic problem. Many economic problems can be described by

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20

Kumar, Nand Kishor. "Application of Mathematics in Economics." National College of Computer Studies Research Journal 3, no. 1 (2024): 131–52. https://doi.org/10.3126/nccsrj.v3i1.72344.

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Mathematics is adopted in economics to provide a precise, logical, and systematic framework for analyzing and solving problems related to resource allocation, production, consumption, and distribution. This article demonstrates how some economic principles are translated into mathematical form and solves various economic issues using basic mathematical methods. Mathematics is used to create economic models. The Cobb-Douglas production model, IS-LM model, supply and demand model, game theory, Solow growth model, and others are examples of concrete economic models. Mathematics serves as the back

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21

Wilson, David P., and Paul M. Coplan. "Mathematical models and health economic aspects of microbicides." Current Opinion in HIV and AIDS 3, no. 5 (2008): 587–92. http://dx.doi.org/10.1097/coh.0b013e328305b959.

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22

Aymatova, Farida Khurazovna. "DIFFERENTIAL EQUATIONS IN ECONOMIC PROBLEMS USING MATHEMATICAL MODELS." INTERNATIONAL SCIENTIFIC-ELECTRONIC JOURNAL "PIONEERING STUDIES AND THEORIES" 1, no. 4 (2025): 62–66. https://doi.org/10.5281/zenodo.15046878.

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This article examines the application of differential equations in economic problems, and also examines models of processes and demand functions using differential equations with separable and separated variables. The article shows how to make differential equations for solving economic problems and making their models. Also, the article shows examples of economic problems and their models. 

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23

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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LEVKIN, Dmytro. "ARCHITECTONICS OF CALCULATED MATHEMATICAL MODELS UNDER UNCERTAINTY." Herald of Khmelnytskyi National University. Technical sciences 309, no. 3 (2022): 135–37. http://dx.doi.org/10.31891/2307-5732-2022-309-3-135-137.

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This article concerns the improvement of calculated mathematical models of technological, biotechnological, and economic systems. It is necessary to increase the number of considered parameters to increase the accuracy of calculating the parameters of complex systems during mathematical modeling. This leads to the need to solve nonlocal boundary value problems with non-stationary differential equations, to prove the correctness of which it is impossible to apply the traditional theory of existence and unity of solution. Note that after the architecture of boundary value problems assumes the ex

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25

Martyniuk, Olesia, and Stepan Popina. "Mathematical models of unshadowing the wages." Herald of Ternopil National Economic University, no. 4(90) (December 12, 2018): 19–26. http://dx.doi.org/10.35774/visnyk2018.04.019.

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The article addresses a social and economic phenomenon of shadow economy, which is typical for many countries and may result in a macroeconomic imbalance. The latter hinders the sustainable growth of the economy and leads to state budget losses. Shadow economy is penetrating into almost all sectors of the national economy. As shown in the paper, a high level of shadow economy is a threat to the national economic security of the country and a cause of declining its competitiveness. The findings confirm that measuring the impact of some factors of shadow economy on the economic security of the c

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Petrović, Nevena, Miloš Ivaniš, and Dimitrije Soleša. "Application of mathematical methods and models in economics." Ekonomija: teorija i praksa 16, no. 1 (2023): 143–59. http://dx.doi.org/10.5937/etp2301143p.

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The development of the mathematical basis of methods for model construction in various fields of science and technology today is very intensive and interdisciplinary. From the perspective of quantitative optimization methods, mathematical models of processes are of the utmost importance, whereby these can be generally represented in the form of linear algebraic equations or equivalent representations. Within the procedure of defining assumptions and adopting a process model, the problem formulation is conducted, whereby this refers to determining the level of problem decomposition and the leve

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Devkota, Nanu Maya. "Amalgamation of Mathematics in Economics: A Historical and Theoretical Perspective." Journal of Development Review 10, no. 1 (2025): 114–31. https://doi.org/10.3126/jdr.v10i1.75896.

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The integration of mathematical models into economics has evolved into a cornerstone of contemporary economic research. This progression, marked by increasing algebraic usage, reflects the discipline's shift toward a structured, rigorous framework. Despite its value, the adoption of mathematical methods faced challenges and debates over their practical efficacy, highlighting the dynamic interplay between theoretical insights and practical applications to shape modern economic analysis. The paper addresses the lack of a simple and consolidated framework of essential mathematical concepts and th

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Tkachenko, A. M., N. G. Buslaeva, and N. O. Vetrova. "Economic-mathematical methods and models in management of economic activity of agricultural enterprises." Agriculture and plant sciences: theory and practice, no. 1 (May 17, 2022): 79–86. http://dx.doi.org/10.54651/agri.2022.01.09.

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The paper summarizes the most common mathematical methods used in the analysis, planning, organization, and management of economic activities of agricultural enterprises. It is determined that mathematical methods in combination with qualitative, logical methods of analysis contribute to the correct assessment of production efficiency or assessment of individual economic phenomena. It is a set of methods that turns analysis into truly scientific means of production management. It is proved that the most important universal method of research of economic activity of the enterprise is the method

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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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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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Ifrim, Ana Maria. "Mathematical Models in Quality Engineering." International Journal of Innovation in the Digital Economy 8, no. 3 (2017): 18–34. http://dx.doi.org/10.4018/ijide.2017070102.

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The present paper deals with the factors that contribute to assuring the quality of the processes involved in project management. The novelty of the approach consists in the fact that the project management processes are analysed with the help of quality indicators in case of time variance. By studying the numeric variable for the proposed economic phenomenon, a smaller discrete interval is obtained, which accounts for the numeric variable being treated as a continuous variable. The practical application of such an analysis is that a risk management plan can be designed based on the parameters

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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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Ларченко, О. В. "MATHEMATICAL METHODS OF ECONOMIC ANALYSIS SOLVING PROBLEMS." Таврійський науковий вісник. Серія: Економіка, no. 16 (June 30, 2023): 293–98. http://dx.doi.org/10.32782/2708-0366/2023.16.38.

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The use of mathematical methods in economic analysis is the most important direction for improving management systems. Mathematical methods speed up economic analysis, increase the accuracy of calculations and more fully take into account the impact of factors on productivity. The use of mathematical methods requires: - development of mathematical models reflecting quantitative indicators of system activity of the organization's employees, processes occurring in complex enterprise-type systems; - a systematic approach to the study of this object, taking into account its relationships and conne

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Kosolapova, N. A., and L. G. Matveeva. "Economic and mathematical coordination models for water consumption strategies of economic agents." St. Petersburg State Polytechnical University Journal. Economics 221, no. 3 (2015): 303–11. http://dx.doi.org/10.5862/je.221.29.

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Kumar, Nand Kishor, and Suresh Kumar Sahani. "G-Calculus in Economic Growth Models: A Mathematical Framework." ALSYSTECH Journal of Education Technology 3, no. 2 (2025): 270–77. https://doi.org/10.58578/alsystech.v3i2.5727.

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Economic growth models are essential for understanding the long-term dynamics of economies, yet traditional models often rely on classical differential and integral calculus, which may inadequately represent discrete, nonlinear, or growth-oriented phenomena. This study aims to introduce G-Calculus (Geometric Calculus), an extension of non-Newtonian calculus, as an alternative analytical framework that is particularly effective for modeling multiplicative and exponential growth systems. We present the theoretical underpinnings of G-Calculus and apply it to established economic growth frameworks

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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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Schlichtinger, Agnieszka Matylda. "Methods of mathematical quantum theory in selected economic models." Mathematical Economics 14, no. 21 (2018): 95–106. http://dx.doi.org/10.15611/me.2018.14.07.

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Kirilyuk, Igor L. "Economic-Mathematical Models for Studying of Mesolevel of Economy." Journal of Institutional Studies 9, no. 3 (2017): 50–63. http://dx.doi.org/10.17835/2076-6297.2017.9.3.050-063.

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BOHDAN, Ivan, Dmytro KONOVALENKO, and Tetiana YARA. "Economic mathematical models for the diagnostics of fiscal policy." Fìnansi Ukraïni 2018, no. 268 (2018): 43–66. http://dx.doi.org/10.33763/finukr2018.03.043.

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Fisher, Eric S., Steven Fortune, Martin K. Gladstein, et al. "Economic modeling of global test strategy I: Mathematical models." Bell Labs Technical Journal 12, no. 1 (2007): 161–73. http://dx.doi.org/10.1002/bltj.20224.

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CHUBUKOVA, O.Yu. "Economic and mathematical modeling – a tool for the formation of a modern economy." Market Relations Development in Ukraine №9(220)2019 119 (November 3, 2019): 24–28. https://doi.org/10.5281/zenodo.3526648.

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The article deals with the development of models of socio–economic objects and processes based on the use of economic and mathematical methods. It is considered the system of models, the main stages of modeling economic tasks and is given the example of the optimization model, its production functions.

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Jagathesan, Dr T. "A critical study of the evolution of Mathematics in Economic Analysis." JOURNAL OF DEVELOPMENT ECONOMICS AND MANAGEMENT RESEARCH STUDIES 08, no. 08 (2021): 78–82. http://dx.doi.org/10.53422/jdms.2021.8801.

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Mathematical economics is an electrifying division of study in economics. It is helpful in model building and provides mathematical form of a descriptive theory in a simple as well as easily understandable way. Economics axiomatization can be embedded with mathematical formula to make it more scientific. Some of the concepts and theories like input-output analysis, linear programming, theory of games and economic behaviour, economic problems of optimum allocation of resources, organizing and planning of production, hyper formalistic methods now the application of computer simulation, normative

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Alsolmi, Meshayil M., Salah H. Alshabhi, Mustafa Mohammed, et al. "On a New Stochastic Space with Applications to Nonlinear Economic Models." European Journal of Pure and Applied Mathematics 18, no. 1 (2025): 5641. https://doi.org/10.29020/nybg.ejpam.v18i1.5641.

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This article will utilize a weighted regular matrix composed of Fibonacci numbers and variable exponent sequence spaces to create a novel stochastic space with certain geometric and topological properties. This area demonstrates the new form of the Kannan contraction operator with a fixed point. In mathematical economics, we represent economic entities, processes, and phenomena by mathematically structured functional equations, either as summable equations or integral equations. We investigate a category of Volterra-type non-linear dynamical systems, similar to an economic model. We employ our

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Lin, Rodney. "Research on the Economic Growth Models and Their Mathematical Principles." Theoretical and Natural Science 109, no. 1 (2025): 50–55. https://doi.org/10.54254/2753-8818/2025.gl23430.

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This study embarks on a comprehensive journey into the intricate and multifaceted world of economic growth models, with a particular emphasis on the mathematical principles that underpin and drive them. At its very core, it meticulously examines the Solow Growth model, a fundamental and highly influential theory that has long been a cornerstone in the realm of economics. Through the sophisticated application of differential equations, the Solow model constructs a dynamic and powerful framework designed to analyze the long - term evolution of economies with remarkable precision. Capital accumul

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Parlińska, Maria, and Galsan Dareev. "The agricultural production in mathematical models." Zeszyty Naukowe SGGW w Warszawie - Problemy Rolnictwa Światowego 11, no. 3 (2011): 73–77. http://dx.doi.org/10.22630/prs.2011.11.3.45.

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The theoretical questions of mathematical modeling of agricultural production processes are described. Production of agricultural goods and foodstuffs is modeled except for the production of forage and involvement of equipment and techniques, buildings, infrastructure etc. The model is based on a division of economic and technological processes in agriculture into four stages specific for agribusiness. A mathematical description of four stages in used production functions is provided

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Kuchynskyi, Volodymyr, and Serhii Pohorielov. "USE OF ECONOMIC AND MATHEMATICAL MODELS TO MAKE EFFECTIVE DECISIONS IN THE FIELD OF HUMAN RESOURCE MANAGEMENT." Bulletin of the National Technical University "Kharkiv Polytechnic Institute" (economic sciences), no. 2 (March 21, 2023): 109–16. http://dx.doi.org/10.20998/2519-4461.2023.2.109.

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The role of using economic-mathematical models for making effective management decisions both in the process of managing socio-economic systems as a whole and in the field of personnel management is defined. Modeling is considered as the main specific method of science, which is used for the analysis and synthesis of control systems, as well as a special cognitive method, when the research subject instead of the directly studied object of knowledge chooses or creates an auxiliary object similar to it - an image or model, examines it, and transfers the acquired new knowledge to the original obj

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Lapshina, M. L., O. O. Lukina, and D. D. Lapshin. "Use of object-oriented simulation in solving issues of optimal enterprise management." Proceedings of the Voronezh State University of Engineering Technologies 84, no. 1 (2022): 288–94. http://dx.doi.org/10.20914/2310-1202-2022-1-288-294.

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Modern scientific research in economics cannot be imagined without the use of economic and mathematical models and their subsequent analysis. Foreign economic literature contains a significant proportion of articles of both theoretical and applied nature, dominated by mathematical models used to substantiate the assumptions made and the most accurate calculation of economic efficiency. A number of economists very convincingly confirm that the recognition of any theoretical study of an economic nature is determined by the measure of the mathematical formalization of the problem, the adequacy of

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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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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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Ponsard, Claude. "Fuzzy mathematical models in economics." Fuzzy Sets and Systems 28, no. 3 (1988): 273–83. http://dx.doi.org/10.1016/0165-0114(88)90034-6.

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