Landau D. A Guide to Monte Carlo Simulations...Physics 5ed 2021
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Description
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Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. The 5th edition contains extensive new material describing numerous powerful algorithms and methods that represent recent developments in the field. New topics such as active matter and machine learning are also introduced. Throughout, there are many applications, examples, recipes, case studies, and exercises to help the reader fully comprehend the material. This book is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory.
Introduction
Some necessary background
Simple sampling Monte Carlo methods
Importance sampling Monte Carlo methods
More on importance sampling Monte Carlo methods for lattice systems
Off-lattice models
Reweighting methods
Quantum Monte Carlo methods
Monte Carlo renormalization group methods
Non-equilibrium and irreversible processes
Lattice gauge models: a brief introduction
A brief review of other methods of computer simulation
Monte Carlo simulations at the periphery of physics and beyond
Monte Carlo studies of biological molecules
Emerging trends