
An Introduction to Monte Carlo Simulations in Statistical Physics
by K. P. N. Murthy
Publisher: arXiv 2003
Number of pages: 92
Description:
A brief introduction to the technique of Monte Carlo simulations in statistical physics is presented. The topics covered include statistical ensembles random and pseudo random numbers, random sampling techniques, importance sampling, Markov chain, Metropolis algorithm, continuous phase transition, statistical errors from correlated and uncorrelated data, finite size scaling, n-fold way, critical slowing down, blocking technique,percolation, cluster algorithms, etc.
Download or read it online for free here:
Download link
(800KB, PDF)
Similar books
Thermal and Statistical Physicsby Harvey Gould, Jan Tobochnik - Princeton University Press
A text on two related subjects: thermodynamics and statistical mechanics. Computer simulations and numerical calculations are used in a variety of contexts. The book brings some of the recent advances in research into the undergraduate curriculum.
(21811 views)
Statistical Physicsby Franz J. Vesely - University of Vienna
This web tutorial was devised as a tool for teaching Statistical Physics to second year students. Topics covered: Why is water wet? Elements of Kinetic Theory; Phase space; Statistical Thermodynamics; Statistical Quantum Mechanics.
(11884 views)
Fundamental Kinetic Processesby E. Ben-Naim, P. L. Krapivsky, S. Redner - Boston University
The authors discuss the development of basic kinetic approaches to more complex and contemporary systems. Among the large menu of stochastic and irreversible processes, we chose the ones that we consider to be among the most instructive.
(13270 views)
Non-Equilibrium Processesby Sidney Redner - Boston University
The author illustrates non-equilibrium statistical physics by presenting a number of current and paradigmatic examples of systems that are out of equilibrium, and elucidates the range of techniques available to solve these systems.
(10610 views)