{"product_id":"monte-carlo-simulation-in-statistical-physics-an-introduction","title":"Monte Carlo Simulation in Statistical Physics: An Introduction","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThe sixth edition of this textbook provides a detailed introduction to Monte Carlo simulation in statistical physics, enabling the computer simulation of many-body systems and calculating probability distributions. It features a modular structure and is updated with two new chapters on special algorithms and finitesize scaling tools. Previous editions have been highly praised and widely used. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\\n                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\\n                              \u003cstrong\u003eLength\u003c\/strong\u003e: 258 pages\u003cbr\u003e\\n                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 10 May 2019\u003cbr\u003e\\n                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Nature Switzerland AG\u003cbr\u003e\\n                          \u003c\/p\u003e\u003cp\u003e\u003cbr\u003eThe sixth edition of this groundbreaking textbook offers a comprehensive introduction to Monte Carlo simulation in statistical physics, a powerful method for simulating many-body systems in condensed matter physics and related fields. By generating random numbers through computer algorithms, these simulation techniques calculate probability distributions, enabling the estimation of thermodynamic properties for various systems. The book provides a theoretical foundation for these methods, enabling beginners to execute simulations and analyze their results. With a modular structure, it includes two introductory chapters, along with exercises suitable for university courses, and the remaining chapters cover significant recent advancements in the field.\u003cbr\u003e\u003cbr\u003eMoreover, this edition has been extensively revised to include two new chapters dedicated to recently developed powerful special algorithms and finite-size scaling tools, which are crucial for studying interfacial phenomena in nanoscience. Previous editions of this textbook have received widespread praise and have been extensively utilized by students and advanced researchers alike.\u003cbr\u003e\u003cbr\u003eIn summary, the sixth edition of this textbook is an essential resource for anyone seeking to understand and apply Monte Carlo simulation in statistical physics. Its comprehensive coverage, updated content, and practical approach make it an invaluable tool for researchers and practitioners in the field.\u003c\/p\u003e\u003cp\u003e\\n                            \u003cstrong\u003eWeight\u003c\/strong\u003e: 576g\\n                            \u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 162 x 241 x 21 (mm)\\n                            \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783030107574\\n                            \u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 6th ed. 2019\\n                          \u003c\/p\u003e","brand":"Kurt Binder,Dieter W. Heermann","offers":[{"title":"Hardback","offer_id":42668563497210,"sku":"9783030107574","price":58.3,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/0c4f2a19f15c3e600d9bdca203bc7e45.jpg?v=1625192995","url":"https:\/\/shulphink.com\/products\/monte-carlo-simulation-in-statistical-physics-an-introduction","provider":"Shulph Ink","version":"1.0","type":"link"}