Monte Carlo simulation in statistical physics: an introduction
By: Binder, Kurt
Contributor(s): Heermann, Dieter W
Material type: 
TextLanguage: English Series: Graduate texts in physics, 1868-4521Publisher: Cham Springer c2019Edition: 6th edDescription: xvii, 258p.; 24cmISBN: 9783030107574Subject(s): Science -- Physics | Mathematical physics | Statistical physicsDDC classification: 530.13 BIN/M Online resources: Publisher's URL Summary: The sixth edition of this highly successful textbook provides a detailed introduction to Monte Carlo simulation in statistical physics, which deals with the computer simulation of many-body systems in condensed matter physics and related fields of physics and beyond (traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, these powerful simulation methods calculate probability distributions, making it possible to estimate the thermodynamic properties of various systems. The book describes the theoretical background of these methods, enabling newcomers to perform such simulations and to analyse their results. It features a modular structure, with two chapters providing a basic pedagogic introduction plus exercises suitable for university courses; the remaining chapters cover major recent developments in the field.
| Item type | Current location | Collection | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
Book
|
CENTRAL LIBRARY General Stack (Sahyadri Campus) | 530.13 BIN/M | Available | 09085 | ||
Reference
|
CENTRAL LIBRARY Reference (Sahyadri Campus) | Reference | 530.13 BIN/M | Not for loan | 09084 |
The sixth edition of this highly successful textbook provides a detailed introduction to Monte Carlo simulation in statistical physics, which deals with the computer simulation of many-body systems in condensed matter physics and related fields of physics and beyond (traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, these powerful simulation methods calculate probability distributions, making it possible to estimate the thermodynamic properties of various systems. The book describes the theoretical background of these methods, enabling newcomers to perform such simulations and to analyse their results. It features a modular structure, with two chapters providing a basic pedagogic introduction plus exercises suitable for university courses; the remaining chapters cover major recent developments in the field.