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Books on the topic 'Model-based simulations'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

C, Costen Robert, and Langley Research Center, eds. Reduced dimer production in solar-simulator-pumped continuous wave iodine lasers based on model simulations and scaling and pumping studies. National Aeronautics and Space Administration, Langley Research Center, 1995.

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2

Fagin, Stuart William. Model-based depth imaging. Society of Exploration Geophysicists, 1998.

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3

Fagin, Stuart William. Model-based depth imaging. Society of Exploration Geophysicists, 1998.

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4

1976-, Lamm Jesko G., Roth Stephan 1968-, and Walker Markus 1965-, eds. Model-based system architecture. John Wiley & Sons, Inc., 2015.

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5

Antinisca, Di Marco, Inverardi Paola, and SpringerLink (Online service), eds. Model-Based Software Performance Analysis. Springer-Verlag Berlin Heidelberg, 2011.

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6

Goodyear, C. P. LSIM, a length-based fish population simulation model. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Center, Miami Laboratory, 1989.

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7

Goodyear, C. P. LSIM, a length-based fish population simulation model. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Center, Miami Laboratory, 1989.

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8

Orth, H. Model-based design of water distribution and sewage systems. Wiley, 1986.

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9

C, Waller Marvin, and Langley Research Center, eds. Users guide, the LaRC Human-Operator-Simulator-based pilot model. National Aeronautics and Space Administration, Langley Research Center, 1985.

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10

Dambietz, Florian M. Performance simulation of modular product architectures by model-based configuration. Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64233-7.

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11

Scouras, James. FALCON: A rule-based strategic force allocation model, version 2. Rand, 1991.

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12

Akiyama, T. A production function based policy simulation model of perennial commodity markets. International Economics Dept., World Bank, 1993.

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13

Ittai, Gavrieli, and Makhon ha-geʼologi (Israel), eds. A multi-component chemistry-based model for the Dead Sea: Modifications of the 1D Princeton Oceanographic Model. State of Israel, Ministry of National Infrastructures, Geological Survey of Israel, 2006.

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14

Ittai, Gavrieli, and Makhon ha-geʼologi (Israel), eds. A multi-component chemistry-based model for the Dead Sea: Modifications of the 1D Princeton Oceanographic Model. State of Israel, Ministry of National Infrastructures, Geological Survey of Israel, 2006.

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15

Ittai, Gavrieli, and Makhon ha-geʼologi (Israel), eds. A multi-component chemistry-based model for the Dead Sea: Modifications of the 1D Princeton Oceanographic Model. State of Israel, Ministry of National Infrastructures, Geological Survey of Israel, 2006.

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16

Koning, Kees de. Model-based reasoning about learner behaviour. IOS Press, 1997.

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17

MBR China 2006 (2006 Guangzhou, China). Model-based reasoning in science, technology, and medicine. Springer, 2007.

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18

Jobson, Harvey E. Users manual for an open-channel streamflow model based on the diffusion analogy. 2nd ed. U.S. Dept. of the Interior, U.S. Geological Survey, 2002.

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19

Jobson, Harvey E. Users manual for an open-channel streamflow model based on the diffusion analogy. 2nd ed. U.S. Dept. of the Interior, U.S. Geological Survey, 2002.

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20

El-Gindy, Moustafa. Development of a tire/pavement contact-stress model based on artificial neural networks. U.S, Dept. of Transportation, Federal Highway Administration, Research, Development, and Technology, Turner-Fairbank Highway Research Center, 2001.

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21

El-Gindy, Moustafa. Development of a tire/pavement contact-stress model based on artificial neural networks. U.S. Department of Transportation, Federal Highway Administration, Research, Development, and Technology, Turner-Fairbank Highway Research Center, 2001.

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22

Hoekstra, Arjen Y. Perspectives on water: An integrated model-based exploration of the future. International Books, 1998.

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23

Herrmann, Marcus. Numerical simulation of premixed turbulent combustion based on a level set flamelet model. Shaker, 2001.

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24

Li, Chen-Kuo. AN/SLQ-32 EW system model: An expandable, object-oriented, process-based simulation. Naval Postgraduate School, 1992.

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25

Railsback, Steven F. Individual-based model formulation for cutthroat trout, Little Jones Creek, California. Pacific Southwest Research Station, Forest Service, U.S. Dept. of Agriculture, 2001.

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26

Railsback, Steven F. Individual-based model formulation for cutthroat trout, Little Jones Creek, California. Pacific Southwest Research Station, Forest Service, U.S. Dept. of Agriculture, 2001.

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27

Miller, Betty M. Geoplay: A knowledge-based expert system : a model for exploration play analysis. U.S. G.P.O., 1995.

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28

Tadanobu, Nakayama, and Watanabe Masataka, eds. Development of process-based NICE model and simulation of ecosystem dynamics in the catchment of East Asia. Center for Global Environmental Research, National Institute for Environmental Studies, 2006.

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29

Gauer, Peter. Blowing and drifting snow in Alpine terrain: A physically-based numerical model and related field measurements. Eidgenössisches Institut für Schnee- und Lawinenforschung, 1999.

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30

Meier, Leif Hendrik. Koordination interdependenter Planungssysteme in der Logistik: Einsatz multiagentenbasierter Simulation im Planungsprozess von Container-Terminals im Hafen. Gabler, 2008.

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31

Barr, David. A data-based simulation model of the financial asset decisions of UK, 'other' financial intermediaries. Bank of England, Economics Division, 1990.

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32

Hufschlag, Klaus. Informationsversorgung lernender Akteure. Gabler, 2008.

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33

McMullen, L. H. Sitka spruce weevil (Pissodes strobi) population dynamics and control: A simulation model based on field relationships. Pacific Forestry Centre, 1987.

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34

Ward, Patrick L. An evaluation of the Production Recruiting Incentive Model vs quota-based recruiting using Monte Carlo simulation. Naval Postgraduate School, 1997.

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35

D, Phillips James, and Ames Research Center, eds. A computational method to model radar return range in a polygonally based, computer-generated-imagery simulation. National Aeronautics and Space Administration, Ames Research Center, 1986.

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36

Murray, Dryer, and Space Environment Laboratory, eds. The interplanetary shock propagation model: A model for predicting solar-flare-caused geomagnetic storms, based on the 2 1/2 D, MHD numerical simulation results from the interplanetary global model (2D IGM). National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Laboratory ; Springfield, VA, 1995.

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37

Murray, Dryer, and Space Environment Laboratory, eds. The interplanetary shock propagation model: A model for predicting solar-flare-caused geomagnetic storms, based on the 2 1/2 D, MHD numerical simulation results from the interplanetary global model (2D IGM). National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Laboratory ; Springfield, VA, 1995.

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38

Murray, Dryer, and Space Environment Laboratory, eds. The interplanetary shock propagation model: A model for predicting solar-flare-caused geomagnetic storms, based on the 2 1/2 D, MHD numerical simulation results from the interplanetary global model (2D IGM). National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Laboratory ; Springfield, VA, 1995.

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39

Franciss, F. O. Weak rock tunnelling: A simplified analytical simulation, a PC-based model and design charts for engineering practice. A.A. Balkema, 1994.

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40

J, Kessler Donald, and United States. National Aeronautics and Space Administration., eds. A computer-based orbital debris environment model for spacecraft design and observation in low earth orbit. National Aeronautics and Space Administration, 1996.

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41

Birks, Daniel. Computer Simulations. Edited by Gerben J. N. Bruinsma and Shane D. Johnson. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190279707.013.36.

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In recent years, the field of social simulation has been dominated by the individual, or agent-based, computational model (ABM). ABMs provide unique means to explore complex social systems by allowing researchers to construct explicit models of the individual actors and interactions that make them up - people, peer groups, companies, nations, trade, reproduction, victimization, and so on, This chapter aims to provide the reader with a primer in the social simulation method and in particular the application of ABM in the field of environmental criminology. It begins by discussing the rationale

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42

Model-Based Approaches to Learning: Using Systems Models and Simulations to Improve Understanding and Problem Solving in Complex Domains. BRILL, 2009.

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43

Pievatolo, Antonio, and Fabrizio Ruggeri. Bayes linear uncertainty analysis for oil reservoirs based on multiscale computer experiments. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.10.

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This article discusses the results of a Bayes linear uncertainty analysis for oil reservoirs based on multiscale computer experiments. Using the Gullfaks oil and gas reservoir located in the North Sea as a case study, the article demonstrates the applicability of Bayes linear methods to address highly complex problems for which the full Bayesian analysis may be computationally intractable. A reservoir simulation model, run at two different levels of complexity, is used, and a simulator of a hydrocarbon reservoir represents properties of the reservoir on a three-dimensional grid. The article al

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44

Spatial bias in landscape ecological simulations: A case study of accounting for spatial dependence in a raster-based stochastic model using a region approach. National Library of Canada, 2002.

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45

Jorgensen, Paul C. Craft of Model-Based Testing. Auerbach Publishers, Incorporated, 2017.

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46

Jorgensen, Paul C. Craft of Model-Based Testing. Auerbach Publishers, Incorporated, 2017.

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47

Jorgensen, Paul C. Craft of Model-Based Testing. Auerbach Publishers, Incorporated, 2017.

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48

Jorgensen, Paul C. Craft of Model-Based Testing. Auerbach Publishers, Incorporated, 2017.

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49

Craft of Model-Based Testing. Taylor & Francis Group, 2017.

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50

Walker, Markus, Tim Weilkiens, Stephan Roth, and Jesko G. Lamm. Model-Based System Architecture. Wiley & Sons, Limited, John, 2015.

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