Monte Carlo Simulation in Statistical Physics

Description

Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields of physics, chemistry and beyond, to traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, probability distributions are calculated, allowing the estimation of the thermodynamic properties of various systems. This book describes the theoretical background to several variants of these Monte Carlo methods and gives a systematic presentation from which newcomers can learn to perform such simulations and to analyze their results. This fourth edition has been updated and a new chapter on Monte Carlo simulation of quantum-mechanical problems has been added.Prof. Binder was the winner of the Berni J. Alder CECAM Award for Computational Physics 2001.





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1. Ebooks list page : 2180
2. Monte Carlo Methods in Statistical Physics
3. A Guide to Monte Carlo Simulations in Statistical Physics
4. A Guide to Monte Carlo Simulations in Statistical Physics, Second Edition - Reup
5. A Guide to Monte Carlo Simulations in Statistical Physics, Second Edition - Reup
6. Forecasting and Opportunity Management Using Monte Carlo Simulation and Statistical Analysis, Free EMASYS Corporation Live Webinar
7. Forecasting and Opportunity Management Using Monte Carlo Simulation and Statistical Analysis, Free EMASYS Corporation Live Webinar
8. David P. Landau, Kurt Binder - A Guide to Monte Carlo Simulations in Statistical Physics
9. Advanced Dynamic-system Simulation: Model-replication Techniques and Monte Carlo Simulation
10. Advanced Dynamic-system Simulation: Model-replication Techniques and Monte Carlo Simulation
11. Simulation and the Monte Carlo Method
12. Monte Carlo Simulation and Finance by Don L. McLeish
13. Monte Carlo Simulation and Finance (repost)
14. Monte Carlo and Quasi-Monte Carlo Sampling (Springer Series in Statistics)
15. Simulation and Monte Carlo: With applications in finance and MCMC
16. Simulation and Monte Carlo: With applications in finance and MCMC