Monte Carlo: Difference between revisions

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*[[Methods]]
'''Monte Carlo''' is a stochastic [[Computer simulation techniques | computer simulation technique]] frequently used in the study of
*[[Lattice simulations]]
soft matter.
{{columns-list|3|
*[[Basin-hopping Monte Carlo]]
*[[Cluster algorithms]]
*[[Concerted rotation algorithm]]
*[[Configurational bias Monte Carlo]]
*[[Constant-pressure Monte Carlo]]
*[[Detailed balance]]
*[[End-bridging Monte Carlo]]
*[[Fragment regrowth Monte Carlo]]
*[[Gibbs-Duhem integration]]
*[[Gibbs ensemble Monte Carlo]]
*[[Glauber transition probabilities]] also known as: Barkers method
*[[Grand canonical Monte Carlo  | Grand-canonical Monte Carlo]]
*[[Histogram reweighting]]
*[[Importance sampling]]
*[[Inverse Monte Carlo]]
*[[Kinetic Monte Carlo]]
*[[Lattice simulations (Polymers)]]
*[[Markov chain]]
*[[Mayer sampling Monte Carlo]]
*[[Metropolis Monte Carlo]]
*[[Metropolis-Hastings Monte Carlo]]
*[[Monte Carlo in the microcanonical ensemble]]
*[[Monte Carlo reptation moves]]
*[[Overlapping distribution method]]
*[[Parrinello-Rahman barostat]]
*[[Phase switch Monte Carlo]]
*[[Quantum Monte Carlo]]
*[[Random numbers]]
*[[Random numbers]]
*[[Recoil growth]]
*[[Reverse Monte Carlo]]
*[[RIS Metropolis Monte Carlo]]
*[[Simulated annealing]]
*[[Tethered Monte Carlo]]
*[[Umbrella sampling]]
*[[Wang-Landau method]]
*[[Waste recycling Monte Carlo]]
}}
==Historical papers==
*[http://links.jstor.org/sici?sici=0162-1459%28194909%2944%3A247%3C335%3ATMCM%3E2.0.CO%3B2-3 Nicholas Metropolis and S. Ulam "The Monte Carlo Method", Journal of the American Statistical Association '''44''' pp. 335-341 (1949)]
==General reading==
*[http://www.oup.com/uk/catalogue/?ci=9780198556459 M. P. Allen and D. J. Tildesley "Computer Simulation of Liquids", Oxford University Press (1989)] Chapter 4.
*[http://molsim.chem.uva.nl/frenkel_smit Daan Frenkel and Berend Smit "Understanding Molecular Simulation: From Algorithms to Applications", Second Edition (2002)] ISBN 0-12-267351-4 Chapter 3.
*[http://www.fz-juelich.de/nic-series/volume23/frenkel.pdf Daan Frenkel "Introduction to Monte Carlo Methods", in ''Computational Soft Matter: From Synthetic Polymers to Proteins'', NIC Series '''Volume 23''' (2004)]
*[http://dx.doi.org/10.2277/0521842387 David P. Landau and Kurt Binder "A Guide to Monte Carlo Simulations in Statistical Physics", 2nd Edition, Cambridge University Press (2005)]
[[category: Computer simulation techniques]]

Latest revision as of 19:25, 1 February 2012

Monte Carlo is a stochastic computer simulation technique frequently used in the study of soft matter.


Historical papers[edit]

General reading[edit]