An Introduction to Monte Carlo Simulation of Statistical Physics Problems
نویسنده
چکیده
A brief introduction to the technique of Monte Carlo for simulation of statistical physics problems is presented. Ising spin model is taken as an example. The topics covered include random and pseudo random numbers, random sampling techniques, Markov chain, Metropolis algorithm, continuous phase transition, statistical errors from correlated and uncorrelated data, finite size scaling, critical slowing down, cluster algorithms, cluster counting, histogram techniques and entropic sampling. Indira Gandhi Centre for Atomic Research, Kalpakkam 603 102, Tamilnadu. INDIA
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