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Books on the topic 'Physical and mathematical model'

Author: Grafiati

Published: 5 June 2025

Last updated: 24 June 2025

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1

Boldyreva, L. B. A model of superfluid physical vacuum. Fond parapsikhologii im. L.L. Vasilʹeva, 1992.

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2

Shabetnik, Basil D. Fractal physics: Introduction to a new physical model. A. Gylys, 1994.

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3

Schroeder, P. R. Verification of the lateral drainage component of the (HELP) model using physical models. U.S. Environmental Protection Agency, Hazardous Waste Engineering Research Laboratory, 1988.

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4

Paul, Gilman, and National Renewable Energy Laboratory (U.S.), eds. Technical manual for the SAM Physical Trough model. National Renewable Energy Laboratory, 2011.

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5

Freerks, Marshall C. The vortex model of matter. s.n.], 1993.

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6

Larsen, Ryan J. New developments in the standard model. Nova Science Publishers, 2011.

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7

Nomura, Kosuke. Interacting Boson Model from Energy Density Functionals. Springer Japan, 2013.

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8

Molenaar, J., and E. W. C. van Groesen. Continuum modeling in the physical sciences. Society for Industrial and Applied Mathematics, 2007.

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9

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

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10

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

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11

Hans-Jurgen, Weber, ed. Mathematical methods for physicists. 6th ed. Elsevier, 2005.

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12

J, Weber Hans, ed. Mathematical methods for physicists. 5th ed. Harcourt Academic, 2001.

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13

Hans-Jurgen, Weber, ed. Mathematical methods for physicists. 4th ed. Academic Press, 1995.

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14

Hans-Jurgen, Weber, ed. Mathematical methods for physicists. 5th ed. Harcourt/Academic Press, 2001.

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15

Banks, H. Thomas. Mathematical and experimental modeling of physical and biological processes. Chapman & Hall/CRC, 2009.

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16

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

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17

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

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18

1944-, Baeriswyl D., North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Research Workshop on the Physics and Mathematical Physics of the Hubbard Model (1993 : San Sebastián, Spain), eds. The Hubbard model: Its physics and mathematical physics. Plenum Press, 1995.

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19

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

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20

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

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21

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

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22

Vandenberg, A. A physical model of vertical integration, drain discharge, and surface runoff for layered soils. National Hydrology Research Institute, 1989.

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23

I, Sadovnikov B., and Shumovskiĭ A. S, eds. Mathematical methods of statistical mechanics of model systems. CRC Press, 1994.

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24

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

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Abstract:

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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25

Hans-Jurgen, Weber, and Harris Frank E, eds. Mathematical methods for physicists: A comprehensive guide. 7th ed. Elsevier, 2013.

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26

Lindstadt, Gregory L. Comparison of linear and non-linear hydrologic flood routing models on four California rivers and relationship of model parameters to channel physical characteristics. Hydraulic Engineering Laboratory and Water Resources Center Archives, University of California, 1986.

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27

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

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28

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

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29

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

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30

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

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31

van, Dixhoorn J. J., and Karnopp D. C, eds. Physical structure in modelling. Pergamon Press, 1985.

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32

Bo, Andersson. The Lund model. Cambridge University Press, 1998.

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33

Giovanni, Boniolo, Budinich P, and Trobok Majda, eds. The role of mathematics in physical sciences: Interdisciplinary and philosophical aspects. Springer, 2005.

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34

Yu, Lobanov Yu, and Zhidkov E. P, eds. Programming and mathematical techniques in physics: International Conference on Programming and Mathematical Methods for Solving Physical Problems. World Scientific, 1994.

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35

1936-, Zilitinkevich S. S., and Fedorovich E. E, eds. Modeling air-lake interaction: Physical background. Springer-Verlag, 1991.

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36

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

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37

Amini, Amir A., and Jerry L. Prince, eds. Measurement of Cardiac Deformations from MRI: Physical and Mathematical Models. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-1265-7.

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38

A, Amini Amir, and Prince Jerry L, eds. Measurement of cardiac deformations from MRI: Physical and mathematical models. Kluwer Academic Publishers, 2001.

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39

Amini, Amir A. Measurement of Cardiac Deformations from MRI: Physical and Mathematical Models. Springer Netherlands, 2002.

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40

Hermance, John F. A mathematical primer on groundwater flow: An introduction to the mathematical and physical concepts of saturated flow in the subsurface. Prentice Hall, 1999.

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41

Zhmakin, Alexander I. Fundamentals of Cryobiology: Physical Phenomena and Mathematical Models. Springer Berlin / Heidelberg, 2010.

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42

Gaponenko, Yuri A., Olga N. Goncharova, Victor K. Andreev, and Vladislav Pukhnachev. Mathematical Models of Convection. de Gruyter GmbH, Walter, 2020.

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43

Pukhnachev, Vladislav V., Yuri A. Gaponenko, Olga N. Goncharova, and Victor K. Andreev. Mathematical Models of Convection. De Gruyter, Inc., 2012.

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44

Pukhnachev, Vladislav V., Yuri A. Gaponenko, Olga N. Goncharova, and Victor K. Andreev. Mathematical Models of Convection. De Gruyter, Inc., 2012.

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45

Gaponenko, Yuri A., Olga N. Goncharova, Victor K. Andreev, and Vladislav Pukhnachev. Mathematical Models of Convection. de Gruyter GmbH, Walter, 2020.

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46

Pukhnachev, Vladislav V., Yuri A. Gaponenko, Olga N. Goncharova, and Victor K. Andreev. Mathematical Models of Convection. de Gruyter GmbH, Walter, 2012.

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47

Gaponenko, Yuri A., Olga N. Goncharova, Victor K. Andreev, and Vladislav Pukhnachev. Mathematical Models of Convection. de Gruyter GmbH, Walter, 2020.

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48

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

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49

Hopfield Model. World Scientific Pub Co, 1990.

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50

Boas, Mary L. Mathematical Methods in the Physical Sciences. Wiley, 2005.

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