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A guide to Monte Carlo simulations i...

Binder, K. (1944-)

A guide to Monte Carlo simulations in statistical physics[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	530.13
書名/作者:	A guide to Monte Carlo simulations in statistical physics/ David P. Landau, Kurt Binder.
作者:	Landau, David P.
其他作者:	Binder, K.
出版者:	Cambridge : : Cambridge University Press,, 2015.
面頁冊數:	xvii, 519 p. : : ill., digital ;; 24 cm.
標題:	Monte Carlo method.
標題:	Statistical physics.
ISBN:	9781139696463
ISBN:	9781107074026
摘要、提要註:	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.
電子資源:	https://doi.org/10.1017/CBO9781139696463

A guide to Monte Carlo simulations in statistical physics[electronic resource] /
Landau, David P.

A guide to Monte Carlo simulations in statistical physics[electronic resource] /David P. Landau, Kurt Binder. - 4th ed. - Cambridge :Cambridge University Press,2015. - xvii, 519 p. :ill., digital ;24 cm.

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: 9781139696463Subjects--Topical Terms:

337839
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[electronic resource] /
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300 $a xvii, 519 p. : $b ill., digital ; $c 24 cm.
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 337839
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856 4 0 $u https://doi.org/10.1017/CBO9781139696463

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