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1

Cheng, Gary C. CFD modeling of turbulent flows around the SSME main injector assembly using porosity formulation: Final report. SECA, Inc., 1992.

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2

Shilyaev, Mihail, Elena Hromova, Aleksandr Bogomolov, A. Pavlenko, and V. Butov. Modeling of hydrodynamics and heat and mass transfer in dispersed media. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1865376.

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The monograph presents methods for calculating the dehydration of wet granular materials in industrial centrifuges, filter presses and vacuum filters under the influence of gravitational forces, as well as by purging the granular layer with dry air with elevated temperature; physical and mathematical models of gas absorption and the theory of capturing submicron dust by condensation in foam, centrifugal bubbling apparatus and hollow nozzle scrubbers, packing columns and tubular absorbers; physical and mathematical models of dry adsorption of gases in packing columns and flues by injecting a dispersed adsorbent into the flow are presented, a method for determining the phase equilibrium constants of sorption processes based on the developed models is proposed; physical and mathematical modeling and analysis of the combustion process of dispersed solid ash fuel in a four-stage cyclone gorenje is carried out. the furnace.
 It can be useful in the educational process for a number of specialties, in particular thermal power engineering, chemical-technological, metallurgical profiles, environmentalists, as well as for researchers and graduate students and in engineering practice.
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3

Palacios, Antonio. Mathematical Modeling. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04729-9.

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4

Heinz, Stefan. Mathematical Modeling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20311-4.

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5

Eck, Christof, Harald Garcke, and Peter Knabner. Mathematical Modeling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55161-6.

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6

Uvarova, Ludmila A., and Anatolii V. Latyshev, eds. Mathematical Modeling. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-3397-6.

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7

Phi Delta Kappa. Educational Foundation., ed. Mathematical modeling. Phi Delta Kappa Educational Foundation, 1995.

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8

Meerschaert, Mark M. Mathematical modeling. 2nd ed. Academic Press, 1999.

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9

Meerschaert, Mark M. Mathematical modeling. 3rd ed. Elsevier Academic Press, 2007.

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10

Zhou, Huamin, ed. Computer Modeling for Injection Molding. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118444887.

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11

Lesh, Richard, Peter L. Galbraith, Christopher R. Haines, and Andrew Hurford, eds. Modeling Students' Mathematical Modeling Competencies. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6271-8.

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12

Lesh, Richard, Peter L. Galbraith, Christopher R. Haines, and Andrew Hurford, eds. Modeling Students' Mathematical Modeling Competencies. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-0561-1.

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13

McDuffie, Amy Roth, ed. Mathematical Modeling and Modeling Mathematics. National Council of Teachers of Mathematics, 2016.

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14

Albert, Muniz, and Witt Gerhardt M, eds. Groundwater injection: Modeling, risks, and regulations. McGraw-Hill, 2005.

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15

Belkhode, P. N., J. P. Modak, V. Vidyasagar, and P. B. Maheshwary. Mathematical Modeling and Simulation. CRC Press, 2021. http://dx.doi.org/10.1201/9781003132127.

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16

Jeffries, Clark. Mathematical Modeling in Ecology. Birkhäuser Boston, 1989. http://dx.doi.org/10.1007/978-1-4612-4550-6.

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17

Mehaffey, JR, ed. Mathematical Modeling of Fires. ASTM International, 1988. http://dx.doi.org/10.1520/stp983-eb.

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18

Chamberlin, Scott A., and Bharath Sriraman, eds. Affect in Mathematical Modeling. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04432-9.

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19

Baronas, Romas, Feliksas Ivanauskas, and Juozas Kulys. Mathematical Modeling of Biosensors. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3243-0.

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20

Hürlimann, Tony. Mathematical Modeling and Optimization. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4757-5793-4.

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21

Melnik, Roderick, ed. Mathematical and Computational Modeling. John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118853887.

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22

Baronas, Romas, Feliksas Ivanauskas, and Juozas Kulys. Mathematical Modeling of Biosensors. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65505-1.

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23

1923-, Bell Stoughton, ed. Mathematical analysis for modeling. CRC Press, 1999.

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24

1949-, Fox William P., ed. Mathematical modeling with Minitab. Brooks/Cole Pub. Co., 1987.

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25

R, Mehaffey J., ed. Mathematical modeling of fires. ASTM, 1988.

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26

Phillips, Donovan D. Mathematical modeling using MATLAB. Naval Postgraduate School, 1998.

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27

G, Mezey Paul, ed. Mathematical modeling in chemistry. VCH, 1991.

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28

Dym, Clive L. Principles of mathematical modeling. 2nd ed. Elsevier Academic Press, 2004.

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29

Han, Zhiyu. Simulation and Optimization of Internal Combustion Engines. SAE International, 2021. http://dx.doi.org/10.4271/9781468604016.

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Simulation and Optimization of Internal Combustion Engines provides the fundamentals and up-to-date progress in multidimensional simulation and optimization of internal combustion engines. While it is impossible to include all the models in a single book, this book intends to introduce the pioneer and/or the often-used models and the physics behind them providing readers with ready-to-use knowledge. Key issues, useful modeling methodology and techniques, as well as instructive results, are discussed through examples. Readers will understand the fundamentals of these examples and be inspired to explore new ideas and means for better solutions in their studies and work. Topics include combustion basis of IC engines, mathematical descriptions of reactive flow with sprays, engine in-cylinder turbulence, fuel sprays, combustions and pollutant emissions, optimization of direct-injection gasoline engines, and optimization of diesel and alternative fuel engines.
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30

Mathematical Modeling. Elsevier, 2013. http://dx.doi.org/10.1016/c2010-0-66940-9.

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31

Cumberbatch, Ellis, and Alistair Fitt, eds. Mathematical Modeling. Cambridge University Press, 2001. http://dx.doi.org/10.1017/cbo9780511626326.

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32

Banerjee, Sandip. Mathematical Modeling. Chapman and Hall/CRC, 2014. http://dx.doi.org/10.1201/b16526.

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33

Cavagnaro, Daniel R., Jay I. Myung, and Mark A. Pitt. Mathematical Modeling. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199934874.013.0021.

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34

Arangala, Crista, Nicholas S. Luke, and Karen A. Yokley. Mathematical Modeling. Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781315120645.

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35

PhD, J. N. Kapur. Mathematical Modeling. Mercury Learning and Information, 2023.

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36

Mathematical modeling. Academic Press, 1993.

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37

Kapur, J. N. Mathematical Modeling. Mercury Learning & Information, 2023.

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38

Mathematical Modeling. Elsevier Science & Technology Books, 2013.

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39

Heinz, Stefan. Mathematical Modeling. Springer, 2014.

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40

Meerschaert, Mark M. Mathematical Modeling. Elsevier Science & Technology Books, 2007.

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41

Eck, Christof, Peter Knabner, and Harald Garcke. Mathematical Modeling. Springer International Publishing AG, 2017.

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42

(Editor), Ellis Cumberbatch, and Alistair Fitt (Editor), eds. Mathematical Modeling. Cambridge University Press, 2001.

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43

Meerschaert, Mark. Mathematical Modeling. Elsevier Science & Technology Books, 2013.

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44

Mathematical modeling. 3rd ed. Elsevier Academic Press, 2007.

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45

Kapur, J. N. Mathematical Modeling. Mercury Learning & Information, 2023.

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46

Mathematical modeling. Springer, 2011.

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47

Zhou, Huamin. Computer Modeling for Injection Molding. Wiley & Sons, Incorporated, John, 2013.

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48

Yaglom, I. M. Mathematical Structures and Mathematical Modeling. Routledge, 1986.

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49

Virtanen, Eetu N. Applied Mathematical Modeling. Nova Science Pub Inc, 2008.

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50

Shier, D., and K. Wallenius, eds. Applied Mathematical Modeling. CRC Press, 1999. http://dx.doi.org/10.1201/9781420050042.

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