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

Public ISBD Titre : A guide to Monte Carlo simulations in statistical physics Type de document : texte imprimé Auteurs : David P. Landau, Auteur ; Kurt Binder, Auteur Mention d'édition : Ffth Edition Editeur : Cambridge : Cambridge University Press Année de publication : 2020 Importance : xviii, 564 p. ISBN/ISSN/EAN : 978-1-108-49014-6 Langues : Anglais (eng) Catégories : Méthodes d'Analyses Tags : MONTE CARLO METHOD  STATISTICAL PHYSICS Index. décimale : B-E Résumé : "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." Cote : B-B232 (SdS) Num_Inv : 3628 Localisation : Bibliothèque A guide to Monte Carlo simulations in statistical physics [texte imprimé] / David P. Landau, Auteur ; Kurt Binder, Auteur  . -  Ffth Edition . - Cambridge : Cambridge University Press, 2020 . - xviii, 564 p. ISBN : 978-1-108-49014-6 Langues : Anglais (eng) Catégories : Méthodes d'Analyses Tags : MONTE CARLO METHOD  STATISTICAL PHYSICS Index. décimale : B-E Résumé : "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." Cote : B-B232 (SdS) Num_Inv : 3628 Localisation : Bibliothèque

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