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Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

Chemodurov, Vladimir, and Ella Litvinova. Physical and mathematical modeling of building systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1014191.

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Physical and mathematical modeling is widely used in scientific research. This is due to the fact that field experiments on real construction sites are often impossible to organize for various reasons. The material included in the textbook is a summary of the authors ' experience in the field of system analysis. In the first section, the regularities of physical modeling of the functioning of objects based on the similarity and dimension theorems are considered. The second section presents modern models and methods for choosing optimal solutions: linear, nonlinear, stochastic, and statistical. The third section deals with experimental methods of system optimization based on the theory of experimental planning. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of higher educational institutions studying in the direction of training 08.04.01 "Construction", and graduate students of higher educational institutions. It will be useful for specialists in the field of mathematical methods for the study of complex systems and their applications.

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2

NATO Advanced Research Workshop on Movable Bed Physical Models (1987 Delft, Netherlands). Movable bed physical models. Dordrecht: Kluwer Academic Publishers, 1990.

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3

Shen, Hsieh Wen. Movable Bed Physical Models. Dordrecht: Springer Netherlands, 1990.

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4

Shen, Hsieh Wen, ed. Movable Bed Physical Models. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2081-1.

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5

Instructional models for physical education. 3rd ed. Scottsdale, Ariz: Holcomb Hathaway, Publishers, 2011.

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6

Physical models of neural networks. Singapore: World Scientific, 1990.

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7

Indo-U, S. Seminar on Parameterization of Sub-grid Scale Processes in Dynamical Models of Medium Range Prediction and Global Climate (1990 Pune India). Physical processes in atmospheric models. New York: Wiley, 1992.

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8

Aranson, Igor S., ed. Physical Models of Cell Motility. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24448-8.

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9

Leburton, Jean-Pierre. Physical Models for Quantum Dots. New York: Jenny Stanford Publishing, 2021. http://dx.doi.org/10.1201/9781003148494.

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10

Targeting students' science misconceptions: Physical science concepts using the conceptual change model. Riverview, FL: Idea Factory, 1996.

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11

Fu, Ying. Physical models of semiconductor quantum devices. Boston: Kluwer Academic Publishers, 1999.

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12

Derek, Marsh, ed. Phospholipid bilayers: Physical principles and models. New York: Wiley, 1987.

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13

Fu, Ying. Physical Models of Semiconductor Quantum Devices. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-7174-1.

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14

Fu, Ying, and Magnus Willander. Physical Models of Semiconductor Quantum Devices. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5141-6.

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15

NATO Advanced Study Institute on Recent Advances in Hydraulic Physical Modelling (1988 Lisbon, Portugal). Recent advances in hydraulic physical modelling. Dordrecht: Kluwer Academic Publishers, 1989.

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16

H, Sattinger David, ed. Scaling limits and models in physical processes. Basel: Birkhäuser Verlag, 1998.

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17

Hughes, Steven A. Physical models andlaboratory techniques in coastal engineering. Singapore: World Scientific, 1993.

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18

Schenk, Andreas. Advanced physical models for silicon device simulation. Wien: Springer, 1998.

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19

Schenk, Andreas. Advanced Physical Models for Silicon Device Simulation. Vienna: Springer Vienna, 1998. http://dx.doi.org/10.1007/978-3-7091-6494-5.

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20

Cercignani, Carlo, and David H. Sattinger. Scaling Limits and Models in Physical Processes. Basel: Birkhäuser Basel, 1998. http://dx.doi.org/10.1007/978-3-0348-8810-3.

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21

Linder, P. W. Models, metals and relevance in physical chemistry. Cape Town: University of Cape Town, 1988.

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22

Foundation vibration analysis using simple physical models. Englewood Cliffs, NJ: PTR Prentice Hall, 1994.

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23

Kravets, Alla G., Alexander A. Bolshakov, and Maxim Shcherbakov, eds. Cyber-Physical Systems: Intelligent Models and Algorithms. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95116-0.

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24

Mandea, Mioara. Geomagnetic Observations and Models. Dordrecht: Springer Science+Business Media B.V., 2011.

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25

Physical models and laboratory techniques in coastal engineering. Singapore: World Scientific, 1993.

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26

Szekely, Julian. The physical and mathematical modeling of Tundish operations. Berlin: Springer-Verlag, 1989.

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27

Szekely, Julian. The physical and mathematical modeling of Tundish operations. New York: Springer-Verlag, 1989.

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28

Emerging topics in physical virology. London: Imperial College Press, 2010.

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29

The mathematical modeling of physical systems: An introduction. New York: Oxford University Press, 2003.

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30

Fundamentals of cryobiology: Physical phenomena and mathematical models. Berlin: Springer, 2009.

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31

J, O'Brien James, and North Atlantic Treaty Organization. Scientific Affairs Division., eds. Advanced physical oceanographic numerical modelling. Dordrecht: D. Reidel Pub. Co., 1986.

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32

Bjerhammar, Arne. Megatrend solutions in physical geodesy. Rockville, MD: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Office of Charting and Geodetic Services, 1986.

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33

Cramer, Christopher J. Essentials of computational chemistry: Theories and models. 2nd ed. Chichester, West Sussex, England: Wiley, 2004.

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34

Mathematical methods using Mathematica: For students of physics and related fields. New York: Springer-Verlag, 2003.

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35

Estuaries: Monitoring and modeling the physical system. Malden, MA: Blackwell Pub., 2007.

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36

1943-, Evans James W., and Brimacombe J. K, eds. The mathematical and physical modeling of primary metals processing operations. New York: John Wiley & Sons, 1988.

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37

Götz, Stefan Matthias. Magnetic neurostimulation from a physical perspective. Aachen: Shaker Verlag, 2013.

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38

Girard, Sylvain. Physical and Statistical Models for Steam Generator Clogging Diagnosis. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09321-5.

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39

Péter, Érdi. Mathematical models of chemical reactions: Theory and applications of deterministic and stochastic models. Princeton, N.J: Princeton University Press, 1989.

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40

Gaudenzi, Paolo. Smart structures: Physical behaviour, mathematical modelling and applications. Hoboken, N.J: Wiley, 2009.

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41

Gaudenzi, Paolo. Smart structures: Physical behaviour, mathematical modelling and applications. Chichester, U.K: Wiley, 2009.

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42

Ward, Donald L. Physical model study of breakwater stability, Kodiak, Alaska. [Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1996.

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43

Szekely, Julian. The physical and mathematical modeling of Tundish operations. New York, NY: Springer New York, 1989.

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44

Krishnamurti, T. N., H. S. Bedi, and V. M. Hardiker. An Introduction to Global Spectral Modeling. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195094732.001.0001.

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This book is an indispensable guide to the methods used by nearly all major weather forecast centers in the United States, England, Japan, India, France, and Australia. Designed for senior-level undergraduates and first-year graduate students, the book provides an introduction to global spectral modeling. It begins with an introduction to elementary finite-difference methods and moves on towards the gradual description of sophisticated dynamical and physical models in spherical coordinates. Topics include computational aspects of the spectral transform method, the planetary boundary layer physics, the physics of precipitation processes in large-scale models, the radiative transfer including effects of diagnostic clouds and diurnal cycle, the surface energy balance over land and ocean, and the treatment of mountains. The discussion of model initialization includes the treatment of normal modes and physical processes, and the concluding chapter covers the spectral energetics as a diagnostic tool for model evaluation.

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45

Addis, Bill, ed. PHYSICAL MODELS. Wiley, 2020. http://dx.doi.org/10.1002/9783433609613.

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46

Demidov, Valeriy, and Oleg Makarov. THE PHYSICAL BASIS OF SOIL EROSION: MECHANISM, PATTERNS OF EXPRESSION AND PREDICTION. LCC MAKS Press, 2021. http://dx.doi.org/10.29003/m2428.978-5-317-06630-7.

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The monograph summarizes the information over the past 20 years on the currently widely used. The textbook is intended for students of higher educational institutions, studying in the specialty of soil science, as well as specializing in erosion and soil protection. The textbook describes the physical basis and mechanism of erosion processes, based on some sections of hydraulics, hydrology, hydro-and aeromechanics, knowledge of which is necessary to understand the mechanism of water, wind and irrigation soil erosion. The main mathematical models and principles of forecasting the values of soil losses as a result of erosion processes are considered. The textbook will be useful not only for students and postgraduates studying in the specialty of soil science, but also for geographers, ecologists and a wide range of specialists interested in the problems of soil cover conservation and environmental protection.

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47

Shen, Hsieh Wen. Movable Bed Physical Models. Springer, 2011.

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48

R, Sikka D., and Singh S. S, eds. Physical processes in atmospheric models. New York: John Wiley, 1992.

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49

Instructional Models in Physical Education. Taylor & Francis Group, 2017.

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50

Physical Models of Living Systems. W. H. Freeman, 2014.

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