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Books on the topic 'Monte Carlo Simulations'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Lönnblad, Leif. Monte Carlo simulations in quantum chromo dynamics. Dept. of Theoretical Physics, Univ., 1989.

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2

Kumar, Dr, and Dr Saraswat. Business Analytics in Practice: Monte Carlo Simulations. SAGE Publications Ltd, 2023. http://dx.doi.org/10.4135/9781529670462.

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3

Cho, Shinil. Monte Carlo Simulations Using Microsoft EXCEL®. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33886-1.

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4

Landau, David P. A guide to Monte Carlo simulations in statistical physics. 2nd ed. Cambridge University Press, 2005.

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5

Landau, David P. A guide to Monte Carlo simulations in statistical physics. 3rd ed. Cambridge University Press, 2009.

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6

Landau, David P. A guide to Monte Carlo simulations in statistical physics. 3rd ed. Cambridge University Press, 2009.

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7

1944-, Binder K., ed. Monte Carlo and molecular dynamics simulations in polymer sciences. Oxford University Press, 1995.

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8

Gallis, Michael A. On the modeling of thermochemical non-equilibrium in particle simulations. Imperial College of Science, Technology & Medicine, Dept. of Aeronautics, 1995.

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9

1944-, Binder K., ed. A guide to Monte Carlo simulations in statistical physics. Cambridge University Press, 2000.

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10

Dimitrievski, Kristian. Monte Carlo simulations of supported biomembranes and protein folding. Göteborg University, Department of Physics, 2006.

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11

1944-, Binder K., ed. A guide to Monte Carlo simulations in statistical physics. 3rd ed. Cambridge University Press, 2009.

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12

1944-, Binder K., ed. Monte Carlo and molecular dynamics simulations in polymer science. Oxford University Press, 1995.

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13

Hendricks, John S., Martyn T. Swinhoe, and Andrea Favalli. Monte Carlo N-Particle Simulations for Nuclear Detection and Safeguards. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04129-7.

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14

Jansen, A. P. J. An Introduction to Kinetic Monte Carlo Simulations of Surface Reactions. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29488-4.

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15

service), SpringerLink (Online, ed. An Introduction to Kinetic Monte Carlo Simulations of Surface Reactions. Springer Berlin Heidelberg, 2012.

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16

K, Dogra Virendra, Wilmoth Richard G та Langley Research Center, ред. DSMC simulations of Mach 20 nitrogen flows about a 70ʻ́ blunted cone and its wake. National Aeronautics and Space Administration, Langley Research Center, 1993.

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17

N, Tiwari S., and Langley Research Center, eds. Radiative interactions in chemically reacting compressible nozzle flows using Monte Carlo simulations. Institute for Computational and Applied Mechanics, Old Dominion University, 1994.

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18

Liu, J. Radiative interactions in chemically reacting compressible nozzle flows using Monte Carlo simulations. Institute for Computational and Applied Mechanics, Old Dominion University, 1994.

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19

ʻAha Huliko ʻa Hawaiian Winter Workshop (9th 1997 University of Hawaii at Manoa). Monte Carlo simulations in oceanography: Proceedings, Aha Huliko a Hawaiian Winter Workshop, University of Hawaii at Manoa, January 14-17, 1997. Edited by Müller Peter 1944-, Henderson Diane, United States. Office of Naval Research., University of Hawaii at Manoa., and University of Hawaii at Manoa. School of Ocean and Earth Science and Technology. School of Ocean and Earth Science and Technology, 1997.

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20

Uwe, Burghaus, ed. A practical guide to Monte Carlo simulations and classical molecular dynamics simulations by captain cook: An example booklet. Nova Science Publishers, 2005.

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21

Alberto, Mugnai, Smith Eric A, and United States. National Aeronautics and Space Administration., eds. Reverse Monte Carlo simulations of microwave radiative transfer in realistic 3-D rain clouds. National Aeronautics and Space Administration, 1994.

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22

Alberto, Mugnai, Smith Eric A, and United States. National Aeronautics and Space Administration., eds. Reverse Monte Carlo simulations of microwave radiative transfer in realistic 3-D rain clouds. National Aeronautics and Space Administration, 1994.

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23

Bartsch, Ulrich. How much is enough?: Monte Carlo simulations of an oil stabilization fund for Nigeria. International Monetary Fund, African Dept., 2006.

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24

Noriega-Muro, Antonio E. Nonstationarity and structural breaks in economic time series: Asymptotic theory and Monte Carlo simulations. Avebury, 1993.

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25

N, Gupta Roop, Price Joseph M, and United States. National Aeronautics and Space Administration., eds. DSMC simulations of OREX entry conditions. National Aeronautics and Space Administration, 1996.

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26

Curotto, Emanuele. Stochastic simulations of clusters: Quantum methods in flat and curved spaces. Taylor & Francis, 2010.

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27

D, Doll J., and Gubernatis J. E, eds. International Workshop on Quantum Simulations of Condensed Matter Phenomena, 8-11 August 1989, Los Alamos, NM, USA. Teaneck, NJ, 1990.

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28

Hao, Ming-Hong. Statistical thermodynamics of protein folding: Comparison of a mean-field theory with Monte Carlo simulations. Cornell Theory Center, Cornell University, 1994.

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29

Schwenzfeger, K. J. Comparison of ERS-1 scatterometer Monte Carlo performance simulations using a weighted nonlinear least-squares and a maximum likelihood estimation method. Hochschule der Bundeswehr München, 1985.

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30

N, Tiwari S., and United States. National Aeronautics and Space Administration., eds. Radiative interactions in multi-dimensional chemically reacting flows using Monte Carlo simulations: Final report for the period ended July 31, 1994. Old Dominion University Research Foundation, 1994.

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31

Ripson, Mabel. Monte Carlo Method : a Guide to Monte Carlo Simulations: Monte Carlo Simulation Matlab. Independently Published, 2021.

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32

Monte Carlo Simulations of Disordered Systems. World Scientific Publishing Co Pte Ltd, 1992.

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33

Monte Carlo Simulations of Disordered Systems. World Scientific Publishing Co Pte Ltd, 1992.

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34

Monte Carlo Simulations of Disordered Systems. World Scientific Pub Co Inc, 1992.

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35

Allen, Michael P., and Dominic J. Tildesley. Advanced Monte Carlo methods. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.003.0009.

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Abstract:

This chapter describes the ways in which the Monte Carlo importance sampling method may be adapted to improve the calculation of ensemble averages, particularly those associated with free energy differences. These approaches include umbrella sampling, non-Boltzmann sampling, the Wang–Landau method, and nested sampling. In addition, a range of special techniques have been developed to accelerate the simulation of flexible molecules, such as polymers. These approaches are illustrated with scientific examples and program code. The chapter also explains the analysis of such simulations using techn

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36

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2009.

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37

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2011.

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38

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2014.

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39

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2014.

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40

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2000.

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41

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2009.

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42

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2015.

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43

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2005.

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44

Binder, Kurt, and David P. Landau. Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2009.

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45

Binder, Kurt, and David P. Landau. A Guide to Monte Carlo Simulations in Statistical Physics. Cambridge University Press, 2013.

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46

Chan, Wai Kin Victor, ed. Theory and Applications of Monte Carlo Simulations. InTech, 2013. http://dx.doi.org/10.5772/45892.

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47

Linn. Mc 93 International Conference, Monte Carlo Simulations. World Scientific Publishing Company, 1994.

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48

Monte Carlo Simulations of the Ising Model. Anchor Academic Publishing. ein Imprint der Diplomica Verlag GmbH, 2016.

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49

Monte Carlo Simulations Using Microsoft EXCEL®. Springer International Publishing AG, 2023.

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50

Simulations of Biological and Polymeric Macromolecular Systems. World Scientific Pub Co Inc, 1996.

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