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Journal articles on the topic 'Linear mathematical model'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Komogortsev, Oleg, Corey Holland, Sampath Jayarathna, and Alex Karpov. "2D Linear oculomotor plant mathematical model." ACM Transactions on Applied Perception 10, no. 4 (2013): 1–18. http://dx.doi.org/10.1145/2536764.2536774.

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2

Wu, Liqing, Naijie Qi, Chengcheng Chang, et al. "Linear mathematical model for the unique solution of 3D ptychographic iterative engine." Chinese Optics Letters 22, no. 5 (2024): 050501. http://dx.doi.org/10.3788/col202422.050501.

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3

Okhrimenko, Viacheslav, and Maiia Zbіtnieva. "Mathematical Model of Tubular Linear Induction Motor." Mathematical Modelling of Engineering Problems 8, no. 1 (2021): 103–9. http://dx.doi.org/10.18280/mmep.080113.

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Problem of calculation of distribution of magnetic field induction in clearance of tubular linear induction motor (TLIM) is considered. Mathematical model is represented by Fredholm integral equations of second kind for complexes of electric field strength and density of coupled magnetization currents at interface of environments. Algorithm of calculation of distribution of magnetic field induction in TLIM clearance has been developed. Dependence of magnetic field induction in motor clearance on value of pole division is investigated. There is area of optimum pole pitch. Reliability of results

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4

Osipov, S. P., E. Yu Usachev, S. V. Chakhlov, et al. "A Mathematical Model of Digital Linear Tomography." Russian Journal of Nondestructive Testing 55, no. 5 (2019): 407–17. http://dx.doi.org/10.1134/s1061830919050085.

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5

Neamah, Kawther Abood. "Mathematical Model for Handling Unstable Time Series by Using a Linear Approximation Technique." Webology 19, no. 1 (2022): 2835–52. http://dx.doi.org/10.14704/web/v19i1/web19189.

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Time series are typically built on basic assumptions that include stationarity, linearity and normality. The three characteristics are crucial for estimating and building time series models. Studies on time series include these assumptions. To deal with unstable time series that are based on its basis, mathematical models that are suitable for such series are adopted in this study. A nonlinear self-regression model, called the rational model, is proposed. This model is a fraction in which the numerator is the complete sine function and the denominator is an exponential self-regression model. T

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KANEKO, Satoshi, Ryuta SATO, and Masaomi TSUTSUMI. "Mathematical Model of Linear Motor Stage with Non-linear Friction Characteristics." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2007.4 (2007): 8D414. http://dx.doi.org/10.1299/jsmelem.2007.4.8d414.

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KANEKO, Satoshi, Ryuta SATO, and Masaomi TSUTSUMI. "Mathematical Model of Linear Motor Stage with Non-Linear Friction Characteristics." Journal of Advanced Mechanical Design, Systems, and Manufacturing 2, no. 4 (2008): 675–84. http://dx.doi.org/10.1299/jamdsm.2.675.

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Swaminathan, B., G. Komahan, and A. Venkatesh. "Linear and non-linear mathematical model of the physiological behavior of diabetes." Scientific Temper 15, spl-1 (2025): 389–94. https://doi.org/10.58414/scientifictemper.2024.15.spl.45.

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This paper’s goals center on understanding the physiological behavior of diabetes, specifically type 2 diabetes, through mathematical modeling and in order to assess the health of diabetic patients and identify the most effective and practical blood glucose control strategies. Additionally, research on diabetes patients, both those with and without complications, is the main objective. Either a new model can be built or an existing model can be improved in order to develop a mathematical model for diabetes mellitus.

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Zhuzhgov, Nikita, and Anatoly Klyuchnikov. "Mathematical Model for Studying a Linear Synchronous Motor." Известия высших учебных заведений. Электромеханика 64, no. 6 (2021): 22–28. http://dx.doi.org/10.17213/0136-3360-2021-6-22-28.

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In the presented article, synchronous electric motors of reciprocating motion of a linear structure and a typical rotational motion are considered. As a rule, such electric motors are two-phase, one winding is supplied with constant voltage, and the other with alternating voltage. To study transient processes in linear synchronous motors (SM), the equations of Park-Gorev SD of rotary action were taken as a basis, but they were transformed taking into account the necessary additions. As a result of the work, a mathematical model of linear SD is shown, which allows one to study the reciprocating

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M. "Mathematical Analysis of the Non Linear Epidemic Model." Journal of Mathematics and Statistics 8, no. 2 (2012): 258–63. http://dx.doi.org/10.3844/jmssp.2012.258.263.

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11

KARLBERG, J., I. ENGSTRÖM, P. KARLBERG, and J. G. FRYER. "Analysis of Linear Growth Using a Mathematical Model." Acta Paediatrica 76, no. 3 (1987): 478–88. http://dx.doi.org/10.1111/j.1651-2227.1987.tb10503.x.

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12

Wan, Xiaoling, and Xinqun Huang. "5G Smart Classroom Construction Based on Linear System Mathematical Model." Highlights in Science, Engineering and Technology 16 (November 10, 2022): 318–23. http://dx.doi.org/10.54097/hset.v16i.2542.

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The mathematical model is to abstract the actual problem in mathematical language, and then reflect or approximate the mathematical description of the actual problem from the mathematical point of view. The whole process of establishing the mathematical model is called mathematical modeling. The article aims to discuss the function of mathematical modeling in the construction of smart classroom under 5G techniques. Relying on 5G technology to create a smart classroom based on holographic technology, which is used in schools to connect with famous teachers from all over the world to teach, teac

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13

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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14

Parovik, Roman. "Mathematical Modeling of Linear Fractional Oscillators." Mathematics 8, no. 11 (2020): 1879. http://dx.doi.org/10.3390/math8111879.

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In this work, based on Newton’s second law, taking into account heredity, an equation is derived for a linear hereditary oscillator (LHO). Then, by choosing a power-law memory function, the transition to a model equation with Gerasimov–Caputo fractional derivatives is carried out. For the resulting model equation, local initial conditions are set (the Cauchy problem). Numerical methods for solving the Cauchy problem using an explicit non-local finite-difference scheme (ENFDS) and the Adams–Bashforth–Moulton (ABM) method are considered. An analysis of the errors of the methods is carried out on

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15

Kondratenko, I. P., and R. S. Kryshchuk. "MATHEMATICAL MODEL OF A MAGNETOELECTRIC MACHINE." Tekhnichna Elektrodynamika 2024, no. 2 (2024): 52–61. http://dx.doi.org/10.15407/techned2024.02.052.

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A mathematical model is proposed for the calculation of electromagnetic parameters of magnetoelectric machines using an analytical method. Permanent magnets are abstracted as equivalent solenoids with constant current represented as current loops. The model differs from known models by the presence of double linear current loops in the stator for the analysis of magnetoelectric machines with a two-layer winding. Additionally, the proposed model considers linear current loops of equivalent solenoids instead of point current loops for a more accurate calculation. The current loops of the stator

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16

Leonavičiene, T., and K. Pileckas. "THE MATHEMATICAL MODEL OF COMPRESSIBLE FLUID FLOW." Mathematical Modelling and Analysis 7, no. 1 (2002): 117–26. http://dx.doi.org/10.3846/13926292.2002.9637184.

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In this note we consider the mathematical model of the isothermal compressible fluid flow in an exterior domain O ⊂ R3. In order to solve this problem we apply a decomposition scheme and reduce the nonlinear problem to an operator equation with a contraction operator. After the decomposition the nonlinear problem splits into three linear problems: Neumann‐like problem, modified Stokes problem and transport equation. These linear problems are solved in weighted function spaces with detached asymptotics.

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Білоусова, Т. П. "NONLINEAR MATHEMATICAL MODEL OF DEMAND – SUPPLY." Таврійський науковий вісник. Серія: Економіка, no. 18 (December 29, 2023): 256–61. http://dx.doi.org/10.32782/2708-0366/2023.18.29.

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Currently, mathematical modeling is more and more persistently invading the economy. The possibility of using mathematical modeling is related to the existence of stable trends that characterize many economic processes. The importance of modeling as a research method is determined by the fact that the model is a conceptual tool focused on the analysis of the researched processes and their forecasting. The need to master mathematical modeling of economic processes as a method of analysis is not limited to purely practical needs: mastering this method contributes to the formation of non-linear t

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18

Molis, Marijanas. "THE RESEARCH RESULTS OF THE LINEAR ELECTROMAGNETIC MOTOR MATHEMATICAL MODEL." Mokslas - Lietuvos ateitis 2, no. 1 (2010): 99–102. http://dx.doi.org/10.3846/mla.2010.022.

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Development of the mathematical model of the linear electromagnetic motor and the dependencies of the inductance and traction force on the secondary element position expressed by mathematical equations, are presented in this research article. The dependency of the inductance on the secondary element position was obtained, approximating the inductance change diagram obtained experimentally. Also, using the theory of electromechanical energy transformation, mathematical expressions of the dependency of the traction force on the secondary element position were obtained. Mathematical model of the

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19

Klimasara, Anthony J. "A Mathematical Comparison of the Lachance - Traill Matrix Correction Procedure with Statistical Multiple Linear Regression Analysis in XRF Applications." Advances in X-ray Analysis 36 (1992): 1–10. http://dx.doi.org/10.1154/s0376030800018577.

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AbstractIt will be shown that the Lachance-Traill XRF matrix correction equations can be derived from the statistical multiple linear regression model. By selecting and properly transforming the independent variables and then applying the statistical multiple linear regression model, the following form of the matrix correction equation is obtained:Furthermore, it will be shown that the Lachance-Traill influence coefficients have a deeper mathematical meaning. They can be related to the multiple regression coefficients of the transformed system:Finally, it will be proposed that the Lachance-Tra

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20

Ghaderi, S. F., J. Razmi ., and B. Ostadi . "A Mathematical Model for Load Optimization: Linear Load Curves." Journal of Applied Sciences 6, no. 4 (2006): 883–87. http://dx.doi.org/10.3923/jas.2006.883.887.

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21

Ammar, E. E., and A. A. Emsimir. "A mathematical model for solving integer linear programming problems." African Journal of Mathematics and Computer Science Research 13, no. 1 (2020): 39–50. http://dx.doi.org/10.5897/ajmcsr2019.0804.

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22

Elias, Nicholas. "A mathematical model for population distribution II: Linear systems." Romanian Journal of Regional Science 18, no. 2 (2024): 1–34. https://doi.org/10.61225/rjrs.2024.07.

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The present paper constitutes a continuation of a previous relevant paper, entitled “A mathematical model for population distribution” by Elias (2023), in which the general theoretical model was described, and some initial applications were presented, namely some approximations of population distribution of a one-dimensional inertial system and a special case of one-dimensional dynamic system. Herein, by using the above model, the following issues will be addressed: a) the examination of multidimensional linear systems, both inertial and dynamic, facilitating the study of polycentric cities an

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23

Fan, Huijun, Tyler Jarvis, and Yongbin Ruan. "A mathematical theory of the gauged linear sigma model." Geometry & Topology 22, no. 1 (2017): 235–303. http://dx.doi.org/10.2140/gt.2018.22.235.

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24

Isaac, Kwasi Adu, AL-Rahman EL-Nor Osman Mojeeb, and Yang Cuihong. "Mathematical Model of Drinking Epidemic." British Journal of Mathematics & Computer Science 22, no. 5 (2017): 1–10. https://doi.org/10.9734/BJMCS/2017/33659.

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A non-linear mathematical model was used to study the dynamics of drinking epidemic. We discussed the existence and stability of the drinking-free and endemic equilibria. The drinking-free equilibrium was locally asymptotically stable if and unstable if . Global stability of drinking-free and endemic equilibria were also considered in the model, using Lassalle’s invariance principle of Lyapunov functions. Numerical simulations were conducted to confirm our analytic results. Our findings was that, reducing the contact rate between the non-drinkers and heavy drinkers, increasing the number of dr

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25

Osagie, Godwin Nosakhare Ph.D, and Monday Ojochide Icheme. "OPTIMIZATION OF RESOURCES WITH THE AID OF LINEAR PROGRAMMING MODEL IN STEVE SHOE PRODUCTION CENTRE, ENUGU, NIGERIA." International Journal of Research - Granthaalayah 6, no. 9 (2018): 123–36. https://doi.org/10.5281/zenodo.1436782.

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This paper studied the optimization of resources with the aid of linear' programming model in Steve Shoe Production Centre (SSPC), Enugu. The Linear programming model is a complex mathematical tool used for solving managerial decision problems. From the researcher's observation, Steve Shoe Production Centre depended completely on trial and error method of decision making which often yielded suboptimal results. This gap brought about the need to amongst others demonstrate how the linear programming model developed in this study can assist SSPC Enugu to optimize its resources for effecti

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26

El-Ashmawy, Khalid L. A. "USING DIRECT LINEAR TRANSFORMATION (DLT) METHOD FOR AERIAL PHOTOGRAMMETRY APPLICATIONS." Geodesy and cartography 44, no. 3 (2018): 71–79. http://dx.doi.org/10.3846/gac.2018.1629.

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DLT has gained a wide popularity in close range photogrammetry, computer vision, robotics, and biomechanics. The wide popularity of the DLT is due to the linear formulation of the relationship between image and object space coordinates. This paper aims to develop a simple mathematical model in the form of self calibration direct linear transformation for aerial photogrammetry applications. Software based on the derived mathematical model has been developed and tested using mathematical photogrammetric data. The effects of block size, number and location of control points, and random and lens d

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27

Neetu Rani, Kiran Bamel, Abhinav Shukla, and Nandini Singh. "Analysis of Five Mathematical Models for Crop Yield Prediction." South Asian Journal of Experimental Biology 12, no. 1 (2022): 46–54. http://dx.doi.org/10.38150/sajeb.12(1).p46-54.

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A review of mathematical models used for the prediction of crop yield has been presented. Though there are many other non-mathematical techniques also available for the purpose, but mathematical modeling used for any real world problem opens many perspectives and provides many possible solu-tions of the problem for the betterment of human race. Five mathematical models (remote sensing followed by mathematical modeling, fuzzy logic based model, multiple linear regression mechanistic model, linear algebra based descriptive model and growth model based on TOMGRO mechanistic model) have been extra

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28

Raju, M. Naga, and M. Sandhya Rani. "Mathematical Modelling of Linear Induction Motor." International Journal of Engineering & Technology 7, no. 4.24 (2018): 111. http://dx.doi.org/10.14419/ijet.v7i4.24.21868.

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The Linear Induction Motor is a special purpose electrical machines it produces rectilinear motion in place of rotational motion. By using D-Q axes equivalent circuit the mathematical modelling is done because to distinguish dynamic behavior of LIM, because of the time varying parameters like end effect, saturation of core, and half filled slot the dynamic modelling of LIM is difficult. For simplification hear we are using the two axes modelling because to evade inductances time varying nature it becomes complex in modelling, this also reduces number of variables in the dynamic equation. Model

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Giraldo Giraldo, Daniel Alonso, Dolly Santos Barbosa, and Carlos Cotrino Badillo. "Predictive control applied to an evaporator mathematical model." Ingeniería e Investigación 26, no. 1 (2006): 34–38. http://dx.doi.org/10.15446/ing.investig.v26n1.14678.

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This paper outlines designing a predictive control model (PCM) applied to a mathematical model of a falling film evaporator with mechanical steam compression like those used in the dairy industry. The controller was designed using the Connoisseur H software package and data gathered from the simulation of a non-linear mathematical model. A Control law was obtained from minimising a cost function subject to dynamic system constraints, using a quadratic programmed (QP) algorithm. A linear programming (LP) algorithm was used for finding a sub-optimal operation point for the process in stationary

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PITCHER, ASHLEY B. "Adding police to a mathematical model of burglary." European Journal of Applied Mathematics 21, no. 4-5 (2010): 401–19. http://dx.doi.org/10.1017/s0956792510000112.

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We review the Short model of urban residential burglary derived from taking the continuum limit of two difference equations – one of which models the attractiveness of individual houses to burglary, and the other of which models burglar movement. This leads to a system of non-linear partial differential equations. We propose a change to the Short model and also add deterrence caused by the presence of uniformed officers to the model. We solve the resulting system of non-linear partial differential equations numerically and present results both with and without deterrence.

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31

Muhamad Sabirin, Siti Aminah, Muhniansyah, and Muh. Fajaruddin Atsnan. "Students’ Skills Performing Mathematical Reasoning and Communication through Group Investigation Learning Model." Jurnal Pengembangan Pembelajaran Matematika 3, no. 2 (2021): 112–28. http://dx.doi.org/10.14421/jppm.2021.32.112-128.

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The general purpose of learning mathematics formulated by the National Council of Teachers of Mathematics (NCTM) states that students must learn mathematical communication, mathematical reasoning, mathematical problem solving, mathematical connections, and mathematical representation. This study aims to describe and analyze students’ mathematical reasoning and communication skills on linear programming material through the GI type cooperative learning model. This research is quasi-experimental design of the non-equivalent posttest only control group design. The research population was all stud

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32

Et. al., K. Lakshmi,. "A STUDY ON MATHEMATICAL AND STATISTICAL ASPECTS OF LINEAR MODELS." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 4 (2021): 1328–38. http://dx.doi.org/10.17762/turcomat.v12i4.1202.

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The primary objective of this research article is to present the mathematical and statistical aspects of linear models and their characteristic properties. Linear model is the most common modeling used in science. Actually linear models have many different meanings depend on the context. Linear model is often preferred than other model such as quadratic model because of its ability to interpret easily. In the other hand most of the real life cases have linear relationship .Modeling the cases using linear model will able us to determine the relative influence of one or more independent variable

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33

Chang, Jyh-Cheng, and Jui-Pin Hung. "Analytical and Finite Element Modeling of the Dynamic Characteristics of a Linear Feeding Stage with Different Arrangements of Rolling Guides." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/454156.

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This study was aimed at investigating the dynamic behaviors of the linear driven feeding stage by means of the analytical and finite element modeling approaches. To assess the dynamic characteristics of the stages with different linear guide arrangements, the finite element model of the stages was created, in which the linear components with rolling interface were accurately modeled based on the Hertzian theory. On the other hand, the analytically mathematical model was derived to determine how the linear guide arrangement affects the dynamic characteristics of the stage. Results of the modal

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Lupenko, Sergiy, Nadiia Lutsyk, and Yuri Lapusta. "Cyclic Linear Random Process As A Mathematical Model Of Cyclic Signals." Acta Mechanica et Automatica 9, no. 4 (2015): 219–24. http://dx.doi.org/10.1515/ama-2015-0035.

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Abstract In this study the cyclic linear random process is defined, that combines the properties of linear random process and cyclic random process. This expands the possibility describing cyclic signals and processes within the framework of linear random processes theory and generalizes their known mathematical model as a linear periodic random process. The conditions for the kernel are given and the probabilistic characteristics of generated process of linear random process in order to be a cyclic random process. The advantages of the cyclic linear random process are presented. It can be use

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35

Potapenko, E. M., E. V. Dushinova, A. E. Kazurova, and S. G. Deev. "The linear mathematical model of induction drive with vector control." Electrical Engineering and Power Engineering, no. 2 (December 22, 2010): 25–36. http://dx.doi.org/10.15588/1607-6761-2010-2-5.

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36

Shekhovtsov, A. N. "Non-linear Mathematical Model of the Dolphin Tail Fin Motion." International Journal of Fluid Mechanics Research 28, no. 1-2 (2001): 90–115. http://dx.doi.org/10.1615/interjfluidmechres.v28.i1-2.80.

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37

Ying Wang, Jun Li, Zanji Wang, Min Gao, and Yanjie Cao. "A mathematical model of the reusable linear magnetic flux compressor." IEEE Transactions on Magnetics 37, no. 1 (2001): 147–51. http://dx.doi.org/10.1109/20.911809.

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Bliokh, Yu P., M. G. Lyubarsky, V. O. Podobinsky, and Ya B. Fainberg. "Unsteady beam-plasma discharge: I. Mathematical model and linear theory." Plasma Physics Reports 29, no. 9 (2003): 740–47. http://dx.doi.org/10.1134/1.1609576.

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39

Marciniak-Czochra, A., and M. Kimmel. "Mathematical model of tumor invasion along linear or tubular structures." Mathematical and Computer Modelling 41, no. 10 (2005): 1097–108. http://dx.doi.org/10.1016/j.mcm.2005.05.005.

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Fujioka, J. "A mathematical model for electrocrystallization under linear sweep voltammetry conditions." Journal of Crystal Growth 91, no. 1-2 (1988): 147–54. http://dx.doi.org/10.1016/0022-0248(88)90380-6.

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41

M�ller, H. J., M. Leitner, and T. Dietzfelbinger. "A linear mathematical model for computerized analyses of mood curves." European Archives of Psychiatry and Neurological Sciences 236, no. 5 (1987): 260–68. http://dx.doi.org/10.1007/bf00380950.

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Belmonte, G., E. Caroli, M. Fabbri, L. Fasano, A. M. G. Pacilli, and G. Pallotti. "A non linear mathematical model to investigate the alveolar diffusion." Journal of Biomechanics 39 (January 2006): S600. http://dx.doi.org/10.1016/s0021-9290(06)85489-8.

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Kurilin, Sergey. "A Mathematical Model for Layout Design of Linear Induction Motors." Vestnik MEI, no. 3 (June 20, 2023): 11–20. http://dx.doi.org/10.24160/1993-6982-2023-3-11-20.

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Zawarczyński, Łukasz. "Parametric Identification of Nonlinear and Linear Mathematical Models of the BLDC Motor." Pomiary Automatyka Robotyka 28, no. 4 (2024): 79–86. https://doi.org/10.14313/par_254/79.

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The article presents the results of an analysis of the parametric identification process of typical mathematical models of a brushless DC motor with an electronic commutator (BLDC) in off-line conditions. The aim of the analysis was to examine the impact of changes in motor load and power supply conditions on the obtained parameter values of mathematical models. The experiments used a nonlinear and linear mathematical model of the BLDC motor drive system in the form of a system of differential equations of individual phases of the BLDC motor electric circuit and a differential equation of the

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45

Scott, Gary M., and W. Harmon Ray. "Neural Network Process Models Based on Linear Model Structures." Neural Computation 6, no. 4 (1994): 718–38. http://dx.doi.org/10.1162/neco.1994.6.4.718.

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The KBANN (Knowledge-Based Artificial Neural Networks) approach uses neural networks to refine knowledge that can be written in the form of simple propositional rules. This idea is extended by presenting the MANNIDENT (Multivariable Artificial Neural Network Identification) algorithm by which the mathematical equations of linear dynamic process models determine the topology and initial weights of a network, which is further trained using backpropagation. This method is applied to the task of modeling a nonisothermal chemical reactor in which a first-order exothermic reaction is occurring. This

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PINEDA PÉREZ, CÉSAR AUGUSTO. "MODELO MATEMÁTICO DE INTEGRACIÓN DE PRODUCCIÓN E INVENTARIOS EN UNA RED LOGÍSTICA PLANTAS, DISTRIBUIDORES Y DETALLISTAS." Revista Ingeniería, Matemáticas y Ciencias de la Información 9, no. 18 (2022): 89–115. http://dx.doi.org/10.21017/rimci.2022.v9.n18.a122.

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This article presents a nonlinear programming mathematical model that coordinates inventories and production in a logistics network made up of plants, distributors, and retailers. The procedure for formulating and solving the mathematical model uses nonlinear programming, linear programming, heuristics, and Lagrangian relaxation in stages.

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Dexter, F., Y. Rudy, and G. M. Saidel. "Mathematical model of acetylcholine kinetics in neuroeffector junctions." American Journal of Physiology-Heart and Circulatory Physiology 266, no. 1 (1994): H298—H309. http://dx.doi.org/10.1152/ajpheart.1994.266.1.h298.

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Acetylcholine (ACh) kinetics in neuroeffector junctions (NEJ) of the sinus node plays a key role in vagal control of heart rate. Prior studies have shown that the concentration of ACh ([ACh]) in NEJ appears to follow first-order linear kinetics. To find out the reason why, we examine mathematically diffusion, degradation, and receptor binding of ACh in NEJ. We identify seven conditions that potentially influence ACh kinetics. Because these conditions are satisfied for NEJ in the sinus node, 1) the nonlinearity of ACh binding to muscarinic receptors has little effect on [ACh]; 2) [ACh] does not

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48

Zabolotnii, Serhii, and Sergii Mogilei. "MODIFICATIONS OF EVANS PRICE EQUILIBRIUM MODEL." Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 13, no. 1 (2023): 58–63. http://dx.doi.org/10.35784/iapgos.3507.

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The paper regards the classical Evans price equilibrium model in the free product market in the aspect of regarding the opportunities for expanding (modifying) the model given that is aimed at perfecting the accuracy of its mathematical formulating. As an accuracy criterion, we have chosen a summary quadratic deviation of the calculated indices from the given ones. One of the approaches of modifying the basic Evans model is suggesting there is a linear dependence between price function and time as well as its first and second derivatives. In this case, the model will be described through diffe

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Vorokova, Nodira Kh, Alina E. Sennikova, Vladimir V. Abrosimov, Valeria E. Vasilchenko, and Pavel N. Priymak. "MATHEMATICAL MODEL OF FINANCIAL INVESTMENT RISK." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 5/3, no. 125 (2022): 89–95. http://dx.doi.org/10.36871/ek.up.p.r.2022.05.03.012.

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This article measures the amount of income and the degree of risk of financial investments. Analysis of the relationship between income and risks in financial investments is based on the theory of multipurpose linear programming. In the process of using study data obtained using MATLAB software. This approach requires an analysis of the investor's profitability assessment at a constant level of risk and minimized risk with the search for a profitable one. The results of the study are the basis for the formation of a diverse portfolio in the presence of various risks in financial investment. Th

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Aeda Rahim Nagi. "Mathematical model for spray drying process." Journal of Wasit for Science and Medicine 4, no. 2 (2022): 122–35. http://dx.doi.org/10.31185/jwsm.157.

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Mathematical model for co-current spray dryer is developed . The model is axisymmetric dimensional model and two way coupling .It includes the mass, momentum, and heat transfer for a single drying droplet as well as for drying medium . The system used is water-air. The model used a system of equations to compute the axial and radial distribution of droplet diameter, its velocity , temperature and rate of evaporation , and air temperature , humidity and velocity in spray drying chamber . The model includes a system of non linear first order differential equations as a function of the axial dist

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