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A guide to Monte Carlo simulations i...
~
Landau, David P.
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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.
Published:
Cambridge :Cambridge University Press, : 2021,
Description:
xviii, 564 p. :ill. ;25 cm.
Notes:
Previous edition: 2015.
Subject:
Monte Carlo method. -
ISBN:
9781108490146
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. - 5th ed. - Cambridge :Cambridge University Press,2021 - xviii, 564 p. :ill. ;25 cm.
Previous edition: 2015.
Includes bibliographical references and index.
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. The 5th edition contains extensive new material describing numerous powerful algorithms and methods that represent recent developments in the field. New topics such as active matter and machine learning are also introduced. Throughout, there are many applications, examples, recipes, case studies, and exercises to help the reader fully comprehend the material. This book 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: 9781108490146UK69.99Subjects--Topical Terms:
551308
Monte Carlo method.
LC Class. No.: QC174.85.M64 / L36 2021
Dewey Class. No.: 530.15/8282
A guide to Monte Carlo simulations in statistical physics /
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Includes bibliographical references and index.
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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. The 5th edition contains extensive new material describing numerous powerful algorithms and methods that represent recent developments in the field. New topics such as active matter and machine learning are also introduced. Throughout, there are many applications, examples, recipes, case studies, and exercises to help the reader fully comprehend the material. This book 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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based on 0 review(s)
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壽豐校區(SF Campus)
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last issue:
1 (2022/06/07)
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六樓西文書區HC-Z(6F Western Language Books)
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