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Books on the topic 'Kinetic Monte Carlo Methods'

Author: Grafiati
Published: 6 September 2023

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1

Center, Ames Research, ed. Particle kinetic simulation of high altitude hypervelocity flight. [Moffett Field, Calif.]: NASA National Aeronautics and Space Administration, Ames Research Center, 1994.

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2

L, Haas Brian, and United States. National Aeronautics and Space Administration., eds. Particle kinetic simulation of high altitude hypervelocity flight. [Washington, DC: National Aeronautics and Space Administration, 1994.

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3

Daw, Murray S. Atomic-scale modeling of the structure and dynamics of dislocations in complex alloys at high temperatures. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2003.

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4

Daw, Murray S. Atomic-scale modeling of the structure and dynamics of dislocations in complex alloys at high temperatures. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2003.

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5

Daw, Murray S. Atomic-scale modeling of the structure and dynamics of dislocations in complex alloys at high temperatures. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2003.

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6

L, Haas Brian, and United States. National Aeronautics and Space Administration., eds. Particle kinetic simulation of high altitude hypervelocity flight. [Washington, DC: National Aeronautics and Space Administration, 1994.

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7

Kalos, Malvin H. Monte Carlo methods. New York: J. Wiley & Sons, 1986.

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8

Chowdhury, Sujaul. Monte Carlo Methods. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-02429-0.

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9

Barbu, Adrian, and Song-Chun Zhu. Monte Carlo Methods. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-2971-5.

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10

Kalos, Malvin H., and Paula A. Whitlock, eds. Monte Carlo Methods. Weinheim, Germany: Wiley-VCH Verlag GmbH, 1986. http://dx.doi.org/10.1002/9783527617395.

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11

Sabelfeld, Karl K. Monte Carlo Methods. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-75977-2.

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12

A, Whitlock Paula, and Wiley online library, eds. Monte Carlo methods. 2nd ed. Weinheim: Wiley-Blackwell, 2008.

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13

A, Whitlock Paula, ed. Monte Carlo methods. New York: J. Wiley & Sons, 1986.

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14

1957-, Madras Neal Noah, Fields Institute for Research in Mathematical Sciences., and Workshop on Monte Carlo Methods (1998 : Toronto, Ont.), eds. Monte Carlo methods. Providence, RI: American Mathematical Society, 2000.

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15

Keller, Alexander, ed. Monte Carlo and Quasi-Monte Carlo Methods. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98319-2.

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16

Cools, Ronald, and Dirk Nuyens, eds. Monte Carlo and Quasi-Monte Carlo Methods. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33507-0.

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17

Owen, Art B., and Peter W. Glynn, eds. Monte Carlo and Quasi-Monte Carlo Methods. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91436-7.

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18

Tuffin, Bruno, and Pierre L'Ecuyer, eds. Monte Carlo and Quasi-Monte Carlo Methods. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43465-6.

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19

Keller, Alexander, Stefan Heinrich, and Harald Niederreiter, eds. Monte Carlo and Quasi-Monte Carlo Methods 2006. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-74496-2.

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20

Plaskota, Leszek, and Henryk Woźniakowski, eds. Monte Carlo and Quasi-Monte Carlo Methods 2010. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27440-4.

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21

Dick, Josef, Frances Y. Kuo, Gareth W. Peters, and Ian H. Sloan, eds. Monte Carlo and Quasi-Monte Carlo Methods 2012. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41095-6.

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22

Niederreiter, Harald, Peter Hellekalek, Gerhard Larcher, and Peter Zinterhof, eds. Monte Carlo and Quasi-Monte Carlo Methods 1996. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-1690-2.

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23

Niederreiter, Harald, ed. Monte Carlo and Quasi-Monte Carlo Methods 2002. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18743-8.

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24

Fang, Kai-Tai, Harald Niederreiter, and Fred J. Hickernell, eds. Monte Carlo and Quasi-Monte Carlo Methods 2000. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56046-0.

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25

Niederreiter, Harald, and Jerome Spanier, eds. Monte-Carlo and Quasi-Monte Carlo Methods 1998. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59657-5.

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26

L' Ecuyer, Pierre, and Art B. Owen, eds. Monte Carlo and Quasi-Monte Carlo Methods 2008. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04107-5.

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27

Niederreiter, Harald, and Denis Talay, eds. Monte Carlo and Quasi-Monte Carlo Methods 2004. Berlin/Heidelberg: Springer-Verlag, 2006. http://dx.doi.org/10.1007/3-540-31186-6.

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28

Pierre, L' Ecuyer, and Owen Art B, eds. Monte Carlo and quasi-Monte Carlo methods 2008. Heidelberg: Springer, 2009.

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29

1944-, Niederreiter Harald, Talay D, and International Conference on Monte Carlo and Probabilistic Methods for Partial Differential Equations (2nd : 2004 : Juan-les-Pins, France), eds. Monte Carlo and Quasi-Monte Carlo methods 2004. Berlin: Springer, 2006.

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30

Henryk, Woźniakowski, and SpringerLink (Online service), eds. Monte Carlo and Quasi-Monte Carlo Methods 2010. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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31

1968-, Keller Alexander, Heinrich Stefan, and Niederreiter Harald 1944-, eds. Monte Carlo and Quasi-Monte Carlo methods 2006. Berlin: Springer, 2008.

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32

Robert, Christian P., and George Casella. Monte Carlo Statistical Methods. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3071-5.

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33

Robert, Christian P., and George Casella. Monte Carlo Statistical Methods. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4757-4145-2.

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34

Casella, George, and Christian P. Robert. Monte Carlo Statistical Methods. 2nd ed. New York, USA: Springer, 2004.

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35

Dunn, William L. Exploring Monte Carlo methods. Amsterdam: Elsevier/Academic Press, 2012.

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36

George, Casella, ed. Monte Carlo statistical methods. 2nd ed. New York: Springer, 2004.

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37

Niederreiter, Harald, and Peter Jau-Shyong Shiue, eds. Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-2552-2.

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38

Sabelfeld, Karl K., and Ivan Dimov, eds. Monte Carlo Methods and Applications. Berlin, Boston: DE GRUYTER, 2012. http://dx.doi.org/10.1515/9783110293586.

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39

Shonkwiler, Ronald W., and Franklin Mendivil. Explorations in Monte Carlo Methods. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-87837-9.

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40

Monte Carlo methods in finance. Chichester, West Sussex, England: J. Wiley, 2002.

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41

1983-, Taimre Thomas, and Botev Zdravko I. 1982-, eds. Handbook for Monte Carlo methods. Hoboken, N.J: Wiley, 2011.

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42

Monte Carlo methods for electromagnetics. Boca Raton, FL: Taylor & Francis Group, LLC, 2009.

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43

Franklin, Mendivil, ed. Explorations in Monte Carlo methods. Dordrecht: Springer, 2009.

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44

Sadiku, Matthew N. O. Monte Carlo methods for electromagnetics. Boca Raton, FL: Taylor & Francis Group, LLC, 2009.

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45

Haghighat, Alireza. Monte Carlo Methods for Particle Transport. Second edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429198397.

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46

Interacting Multiagent Systems Kinetic Equations And Monte Carlo Methods. Oxford University Press, 2013.

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47

Interacting Multiagent Systems: Kinetic Equations and Monte Carlo Methods. Oxford University Press, Incorporated, 2013.

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48

An Introduction To Kinetic Monte Carlo Simulations Of Surface Reactions. Springer, 2012.

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49

Succi, Sauro. Numerical Methods for the Kinetic Theory of Fluids. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0010.

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Abstract:
This chapter provides a bird’s eye view of the main numerical particle methods used in the kinetic theory of fluids, the main purpose being of locating Lattice Boltzmann in the broader context of computational kinetic theory. The leading numerical methods for dense and rarified fluids are Molecular Dynamics (MD) and Direct Simulation Monte Carlo (DSMC), respectively. These methods date of the mid 50s and 60s, respectively, and, ever since, they have undergone a series of impressive developments and refinements which have turned them in major tools of investigation, discovery and design. However, they are both very demanding on computational grounds, which motivates a ceaseless demand for new and improved variants aimed at enhancing their computational efficiency without losing physical fidelity and vice versa, enhance their physical fidelity without compromising computational viability.
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50

Stephan, J., L. Vattuone, and J. M. Rogowska. A Practical Guide to Kinetic Monte Carlo Simulations And Classical Molecular Dynamics Simulations: An Example Book. Nova Science Publishers, 2006.

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