國立虎尾科技大學 |

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, Center for Simulational Physics, University of Georgia, USA, Kurt Binder, Institut für Physik, Johannes-Gutenberg-Universität, Germany.
Author:	Landau, David P.,
other author:	Binder, K.
Description:	1 online resource (xvii, 519 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Subject:	Monte Carlo method. -
Online resource:	https://doi.org/10.1017/CBO9781139696463
ISBN:	9781139696463 (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, Center for Simulational Physics, University of Georgia, USA, Kurt Binder, Institut für Physik, Johannes-Gutenberg-Universität, Germany. - Fourth edition. - 1 online resource (xvii, 519 pages) :digital, PDF file(s).

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

Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. This fourth edition contains extensive new material describing numerous powerful algorithms not covered in previous editions, in some cases representing new developments that have only recently appeared. Older methodologies whose impact was previously unclear or unappreciated are also introduced, in addition to many small revisions that bring the text and cited literature up to date. This edition also introduces the use of petascale computing facilities in the Monte Carlo arena. Throughout the book there are many applications, examples, recipes, case studies, and exercises to help the reader understand the material. It is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory.

ISBN: 9781139696463 (ebook)Subjects--Topical Terms:

672188
Monte Carlo method.

LC Class. No.: QC174.85.M64 / L36 2015

Dewey Class. No.: 530.13

A guide to Monte Carlo simulations in statistical physics /
LDR:02190nam a2200289 i 4500 001 1123023
003 UkCbUP
005 20160211114216.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 240926s2015||||enk o ||1 0|eng|d
020 $a 9781139696463 (ebook)
020 $z 9781107074026 (hardback)
035 $a CR9781139696463
040 $a UkCbUP $b eng $e rda $c UkCbUP
050 0 0 $a QC174.85.M64 $b L36 2015
082 0 4 $a 530.13 $2 23
100 1 $a Landau, David P., $e author. $3 1439624
245 1 2 $a A guide to Monte Carlo simulations in statistical physics / $c David P. Landau, Center for Simulational Physics, University of Georgia, USA, Kurt Binder, Institut für Physik, Johannes-Gutenberg-Universität, Germany.
250 $a Fourth edition.
264 1 $a Cambridge : $b Cambridge University Press, $c 2015.
300 $a 1 online resource (xvii, 519 pages) : $b digital, PDF file(s).
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520 $a Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. This fourth edition contains extensive new material describing numerous powerful algorithms not covered in previous editions, in some cases representing new developments that have only recently appeared. Older methodologies whose impact was previously unclear or unappreciated are also introduced, in addition to many small revisions that bring the text and cited literature up to date. This edition also introduces the use of petascale computing facilities in the Monte Carlo arena. Throughout the book there are many applications, examples, recipes, case studies, and exercises to help the reader understand the material. It is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory.
650 0 $a Monte Carlo method. $3 672188
650 0 $a Statistical physics. $3 528048
700 1 $a Binder, K. $q (Kurt), $d 1944- $3 902841
776 0 8 $i Print version: $z 9781107074026
856 4 0 $u https://doi.org/10.1017/CBO9781139696463