Book review: Monte Carlo simulation in statistical physics: An introduction

1989 ◽  
Vol 57 (5-6) ◽  
pp. 1139-1140
Author(s):  
Dennis C. Rapaport
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Statistical Physics

A Guide to Monte Carlo Simulations in Statistical Physics

2021 ◽  
Author(s):  
David Landau ◽  
Kurt Binder
Keyword(s):  
Machine Learning ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Graduate Students ◽  
Physical Science ◽  
Statistical Physics ◽  
Condensed Matter ◽  
Physical Systems ◽  
Recent Developments ◽  
New Material

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.

scholarly journals Monte Carlo Simulation in Statistical Physics

1993 ◽  
Vol 7 (2) ◽  
pp. 156 ◽  
Author(s):  
K. Binder ◽  
D. Heermann ◽  
Lyle Roelofs ◽  
A. John Mallinckrodt ◽  
Susan McKay
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Statistical Physics
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