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Books on the topic 'Modeling of processes'

Author: Grafiati

Published: 28 June 2021

Last updated: 13 February 2022

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1

Mazumdar, Dipak. Modeling of steelmaking processes. Boca Raton: Taylor & Francis, 2010.

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2

King, Chi-Yu, and Roberto Scarpa, eds. Modeling of Volcanic Processes. Wiesbaden: Vieweg+Teubner Verlag, 1988. http://dx.doi.org/10.1007/978-3-322-89414-4.

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3

Iguchi, Manabu, and Olusegun J. Ilegbusi. Modeling Multiphase Materials Processes. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-7479-2.

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4

Process modeling. Harlow: Longman Scientific & Technical, 1987.

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5

Denn, Morton M. Process modeling. New York: Longman, 1986.

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6

Process dynamics: Modeling, analysis, and simulation. Upper Saddle River, N.J: Prentice Hall PTR, 1998.

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7

Markov processes for stochastic modeling. London: Chapman & Hall, 1997.

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8

Markov processes for stochastic modeling. Amsterdam: Academic Press, 2009.

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9

Modeling coastal and marine processes. 2nd ed. [London, England]: Imperial College Press, 2015.

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10

Yagyū, T. Modeling design objects and processes. Berlin: Springer-Verlag, 1991.

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11

Modeling and simulating urban processes. Berlin: Lit, 2011.

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12

Yagyū, Takaaki. Modeling design objects and processes. Berlin: Springer-Verlag, 1991.

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13

Computer modeling of chemical processes. New York, N.Y: American Institute of Chemical Engineers, 1985.

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14

Modeling Design Objects and Processes. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991.

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15

Taylor, Christopher D., and Philippe Marcus, eds. Molecular Modeling of Corrosion Processes. Hoboken, NJ: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119057666.

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16

Friedman, Avner, and Chiu-Yen Kao. Mathematical Modeling of Biological Processes. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08314-8.

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17

Danaev, Nargozy, Yurii Shokin, and Akhmed-Zaki Darkhan, eds. Mathematical Modeling of Technological Processes. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25058-8.

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18

Kijima, Masaaki. Markov Processes for Stochastic Modeling. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-3132-0.

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19

Yagiu, Takaaki, ed. Modeling Design Objects and Processes. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84420-1.

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20

Boyadjiev, Christo, Maria Doichinova, Boyan Boyadjiev, and Petya Popova-Krumova. Modeling of Column Apparatus Processes. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28259-6.

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21

Boyadjiev, Christo, Maria Doichinova, Boyan Boyadjiev, and Petya Popova-Krumova. Modeling of Column Apparatus Processes. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89966-4.

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22

Hiermaier, Stefan, ed. Predictive Modeling of Dynamic Processes. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0727-1.

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23

Nelson, Barry L. Stochastic modeling: Analysis & simulation. Mineloa, N.Y: Dover Publications, 2002.

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24

Georgiadis, Michael C., Julio R. Banga, and Efstratios N. Pistikopoulos. Dynamic process modeling. Weinheim: Wiley-VCH, 2011.

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25

Taylor, Howard M. An introduction to stochastic modeling. Boston: Academic Press, 1994.

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26

Nelson, Barry L. Stochastic modeling: Analysis and simulation. Mineola, N.Y: Dover Publications, 2010.

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27

1923-, Karlin Samuel, ed. An introduction to stochastic modeling. 3rd ed. San Diego: Academic Press, 1998.

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28

Stochastic modeling: Analysis and simulation. New York: McGraw-Hill, 1995.

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29

Nelson, Barry L. Stochastic modeling: Analysis and simulation. Mineola, N.Y: Dover Publications, 2010.

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30

Samuel, Karlin, ed. An Introduction to Stochastic Modeling. 4th ed. San Diego: Academic Press [Imprint], 2010.

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31

Efremov, German. Modeling of chemical and technological processes. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1090526.

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Abstract:

In an accessible form, the textbook presents the theoretical foundations of physical and mathematical modeling; considers the modeling of mass, heat and momentum transfer processes, the relationship and analogy between them; studies the theory of similarity, its application in modeling, models of the structure of flows in apparatuses. Experimental-statistical and experimental-analytical modeling methods are also described, which include "black box" methods, planning passive, active full and fractional factor experiments, and adjusting models based on the results of the experiment. At the same time, modeling of chemical reactors, methods of optimization of chemical-technological processes, their selection, comparison and application examples are considered. Examples of modeling and optimization of processes in chemical, petrochemical and biotechnology on a computer in Excel and MathCAD environments are given. The appendices provide the basics of working in the MathCAD environment and elements of matrix algebra. Meets the requirements of the Federal state educational standards of higher education of the latest generation. It is intended for bachelors who are trained for the chemical, petrochemical, food, textile and light industries. It can be useful for specialists and undergraduates, as well as for scientists, engineers and postgraduates dealing with the problem under consideration.

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32

Quantitative modeling of earth surface processes. New York: Cambridge University Press, 2008.

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33

Ahsan, Amimul. Water condensation: Processes, modeling, and control. New York: Nova Science Publishers, 2012.

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34

Understanding social inequality: Modeling allocation processes. Newbury Park, Calif: Sage Publications, 1991.

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35

Ebersole, Bruce A. Regional coastal processes numerical modeling system. Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1986.

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36

Gao, Shouting. Cloud-resolving modeling of convective processes. [Dordrecht]: Springer, 2008.

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37

Cassez, Franck, Claude Jard, Brigitte Rozoy, and Mark Dermot Ryan, eds. Modeling and Verification of Parallel Processes. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45510-8.

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38

Thomson, David L., Evan G. Cooch, and Michael J. Conroy, eds. Modeling Demographic Processes In Marked Populations. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-78151-8.

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39

Li, Xiaofan, and Shouting Gao. Cloud-Resolving Modeling of Convective Processes. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26360-1.

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40

Mhaskar, Prashant, Abhinav Garg, and Brandon Corbett. Modeling and Control of Batch Processes. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04140-3.

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41

Stiesch, Gunnar. Modeling Engine Spray and Combustion Processes. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-08790-9.

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42

Bryant, R. B., and R. W. Arnold, eds. Quantitative Modeling of Soil Forming Processes. Madison, WI, USA: Soil Science Society of America, 1994. http://dx.doi.org/10.2136/sssaspecpub39.

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43

Gao, Shouting, and Xiaofan Li. Cloud-Resolving Modeling of Convective Processes. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8276-4.

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44

Volesky, Bohumil. Modeling and optimization of fermentation processes. Amsterdam: Elsevier, 1992.

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45

Osaki, Shunji. Applied stochastic system modeling. Berlin: Springer-Verlag, 1992.

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46

Kulkarni, Vidyadhar G. Modeling and analysis of stochastic systems. 2nd ed. Boca Raton: Chapman & Hall/CRC, 2010.

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47

Modeling and analysis of stochastic systems. New York: Chapman & Hall, 1995.

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48

Kulkarni, Vidyadhar G. Modeling and analysis of stochastic systems. 2nd ed. Boca Raton: CRC Press, 2010.

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49

Kulkarni, Vidyadhar G. Modeling and analysis of stochastic systems. 2nd ed. Boca Raton: Chapman & Hall/CRC, 2010.

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50

M, Gupta Surendra, ed. Remanufacturing modeling and analysis. Boca Raton: CRC Press, 2012.

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