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A guide to Monte Carlo simulations in statistical physics /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	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.
作者:	Landau, David P.,
其他作者:	Binder, K.
面頁冊數:	1 online resource (xvii, 519 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Statistical physics. -
電子資源:	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:

528048
Statistical physics.

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

Dewey Class. No.: 530.13

A guide to Monte Carlo simulations in statistical physics /
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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.
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