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A guide to Monte Carlo simulations in statistical physics /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A guide to Monte Carlo simulations in statistical physics // David P. Landau, Kurt Binder.
Author:	Landau, David P.,
other author:	Binder, K.
Description:	1 online resource (xv, 432 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Subject:	Monte Carlo method - Textbooks. -
Online resource:	https://doi.org/10.1017/CBO9780511614460
ISBN:	9780511614460 (ebook)

A guide to Monte Carlo simulations in statistical physics /
Landau, David P.,

A guide to Monte Carlo simulations in statistical physics /David P. Landau, Kurt Binder. - Second edition. - 1 online resource (xv, 432 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

This new and updated edition deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. After briefly recalling essential background in statistical mechanics and probability theory, it gives a succinct overview of simple sampling methods. The concepts behind the simulation algorithms are explained comprehensively, as are the techniques for efficient evaluation of system configurations generated by simulation. It contains many applications, examples, and exercises to help the reader and provides many new references to more specialized literature. This edition includes a brief overview of other methods of computer simulation and an outlook for the use of Monte Carlo simulations in disciplines beyond physics. This is an excellent guide for graduate students and researchers who use computer simulations in their research. It can be used as a textbook for graduate courses on computer simulations in physics and related disciplines.

ISBN: 9780511614460 (ebook)Subjects--Topical Terms:

744103
Monte Carlo method
--Textbooks.

LC Class. No.: QC174.85.M64 / L36 2005

Dewey Class. No.: 530.13

A guide to Monte Carlo simulations in statistical physics /
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520 $a This new and updated edition deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. After briefly recalling essential background in statistical mechanics and probability theory, it gives a succinct overview of simple sampling methods. The concepts behind the simulation algorithms are explained comprehensively, as are the techniques for efficient evaluation of system configurations generated by simulation. It contains many applications, examples, and exercises to help the reader and provides many new references to more specialized literature. This edition includes a brief overview of other methods of computer simulation and an outlook for the use of Monte Carlo simulations in disciplines beyond physics. This is an excellent guide for graduate students and researchers who use computer simulations in their research. It can be used as a textbook for graduate courses on computer simulations in physics and related disciplines.
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