# Monte Carlo Simulation in Statistical Physics download epub

#### by **Kurt Binder,Dieter W. Heermann**

**Epub Book:**1671 kb. |

**Fb2 Book:**1276 kb.

Bibliographic Information. Monte Carlo Simulation in Statistical Physics.

Bibliographic Information. Graduate Texts in Physics. Springer-Verlag Berlin Heidelberg.

This book describes the theoretical background to several variants of these Monte Carlo methods and gives a systematic presentation . Binder was the winner of the Berni J. Alder CECAM Award for Computational Physics 2001.

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.

by Kurt Binder (Author), Dieter W. Heermann (Author). Book Condition: Unread copy in mint condition. ISBN-13: 978-3642031625. 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, et. Using random numbers generated by a computer, probability distributions are calculated, allowing the estimation of the thermodynamic properties of various systems.

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

Binder was the winner of the Berni J. Alder CECAM Award for Computational Physics 2001 as well as the Boltzmann Medal in. .2 Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics. 5. 3 Guide to Practical Work with the Monte Carlo Method.

Binder was the winner of the Berni J. Alder CECAM Award for Computational Physics 2001 as well as the Boltzmann Medal in 2007.

Автор: Binder . Heermann . Автор: Kurt Binder; A. Baumg?rtner; K. Binder; . P.

Fishpond United States, Monte Carlo Simulation in Statistical Physics: An Introduction (Graduate Texts in Physics) by Kurt . Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics. Guide to Practical Work with the Monte Carlo Method.

Books online: Monte Carlo Simulation in Statistical Physics: An Introduction (Graduate Texts in Physics), 2010, Fishpond. Some Important Recent Developments of the Monte Carlo Methodology. Quantum Monte Carlo Simulations: An Introduction. Monte Carlo Methods for the Sampling of Free Energy Landscapes.

Kurt Binder, Dieter W. 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.

Dieter W Heermann They had a profound influence on the scope of Monte Carlo simulations in statistical physics, particularly for the study of phase transitions in lattice models.

In recent years the method of computer simulation has started something like a revolution of science: the old division of physics (as well as chemistry, biology, et. into experimental and theoretical branches is no longer really complete. Rather, computer simulation has become a third branch complementary to the first two traditional approaches. They had a profound influence on the scope of Monte Carlo simulations in statistical physics, particularly for the study of phase transitions in lattice models.

By (author) Kurt Binder, By (author) Dieter W. This book describes the theoretical background to several variants of these Monte Carlo methodsand gives a systematic presentation from which newcomers can learn to perform such simulations and to analyze their results. Furthermore a new chapter on the sampling of free energy landscapes has been added.

**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. To help students in their work a special web server has been installed to host programs and discussion groups (http://wwwcp.tphys.uni-heidelberg.de). Prof. Binder was the winner of the Berni J. Alder CECAM Award for Computational Physics 2001.

**Author:**Kurt Binder,Dieter W. Heermann

**ISBN:**3540432213

**Category:**Science & Math

**Subcategory:**Mathematics

**Language:**English

**Publisher:**Springer; 4th, enlarged ed. edition (August 26, 2002)

**Pages:**185 pages