Monte Carlo Simulation in Statistical Physics [E-Book] : An Introduction / by Kurt Binder, Dieter W. Heermann.
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 fluc...
Saved in:
Full text |
|
Personal Name(s): | Binder, Kurt, author |
Heermann, Dieter W., author | |
Edition: |
6th edition 2019. |
Imprint: |
Cham :
Springer,
2019
|
Physical Description: |
XVII, 258 pages 155 illustrations, 5 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030107581 |
DOI: |
10.1007/978-3-030-10758-1 |
Series Title: |
/* Depending on the record driver, $field may either be an array with
"name" and "number" keys or a flat string containing only the series
name. We should account for both cases to maximize compatibility. */?>
Graduate Texts in Physics
|
Subject (LOC): |
- Introduction: Purpose and Scope of this Volume, and Some General Comments
- Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics
- Guide to Practical Work with the Monte Carlo Method
- Some Important Developments of the Monte Carlo Methodology
- Quantum Monte Carlo Simulation: An Introduction
- Monte Carlo Methods for the Sampling of Free Energy Landscapes
- Special Monte Carlo Algorithms
- Finite Size Scaling Tools for the Study of Interfacial Phenomena and Wetting.