✍ Scribed by M. E. J. Newman, G. T. Barkema
No coin nor oath required. For personal study only.
An up-to-date introduction to Monte Carlo simulations in classical statistical physics. Covers both equilibrium and out of equilibrium systems and discusses in detail numerous algorithms, including Metropolis and heat-bath algorithms, continuous time Monte Carlo, cluster algorithms, and entropic sampling.
Матметоды и моделирование в физике
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## a b s t r a c t Monte Carlo is a versatile and frequently used tool in statistical physics and beyond. Correspondingly, the number of algorithms and variants reported in the literature is vast, and an overview is not easy to achieve. In this pedagogical review, we start by presenting the probab
This volume collects together the lectures and papers presented at the joint Los Alamos National Laboratory - Commissariat a l'Energie Atomique Meeting, held at Cadarache Castle, in Provence (France), April 22-26, 1985. About one hundred participants came from both laboratories and from other associ