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Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Physics) Paperback – 14 Sep 2006

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Product details

  • Paperback: 360 pages
  • Publisher: OUP Oxford; Pap/Cdr edition (14 Sept. 2006)
  • Language: English
  • ISBN-10: 0198515367
  • ISBN-13: 978-0198515364
  • Product Dimensions: 24.6 x 2 x 18.8 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 761,628 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Product Description

Review

This book is the best one I have reviewed all year. (Alan Hinchliffe, Physical Sciences Educational Reviews)

About the Author

Werner Krauth is Professor of Physics at the Laboratoire de Physique Statistique, Ecole Normale Supérieure, Paris, and Director of Research at the CNRS, France.

Inside This Book

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First Sentence
The concept of sampling (obtaining the random positions) is truly complex, and we had better get a grasp of the idea in a simplified setting before applying it in its full power and versatility to the complicated cases of later chapters. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most Helpful Customer Reviews

By Michał on 7 July 2013
Format: Paperback Verified Purchase
If you are a person who understand science mostly when codes, this book is for you. Author provide thinking about physics problems from the computer point of view.
An important advantage (especially for self-learning) is that author derived all equations from the scratch. But you dont find exercises/problems solutions in book (drawback for self-learning).

Probably CD included in book is just marketing - it contains eps files of pseudo-codes and graphics from the book. In my opinion it would be better to get codes on CD, and - optionally - these graphics on author webpage (now it is opposite, but most www pages are mostly temporary and after ~15 years that page probably disappear).
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 5 reviews
3 of 3 people found the following review helpful
Nice, even for a non-physicist 2 April 2014
By JJA - Published on Amazon.com
Format: Paperback Verified Purchase
I wanted to learn some Stat. Mech., so I audited the MOOC taught by this author. The details in the book helped with the MOOC's homework. The two combined did the trick: I learned enough about Stat. Mech. to be satisfied.
1 of 1 people found the following review helpful
This is a great introduction to algorithms and computations in Statistical Mechanics 11 April 2015
By Sidharth Kshatriya - Published on Amazon.com
Format: Paperback Verified Purchase
This is a great introduction to algorithms and computations in Statistical Mechanics. The book does not assume a lot of prior knowledge of Physics/Statistical Mechanics which is a great plus. This book is rare because it takes a very strong computational approach towards Physics (unlike most Physics textbooks that approach the subject with a very analytical approach with "nice" functions). The computational approach is really the approach you need to take when doing "real" Physics, in my opinion.

I also find that the book has a rare and sparse elegance too it: Its not needlessly verbose and the author explains his subject without drowning you in words. The approach is not to drown you in equations (either) but teach you just enough so that you understand the Computer Algorithm (which is the primary focus). There are a lot of interesting graphs and diagrams across the book too.

The algorithms explained in this book like the Metropolis algorithm, Simulated Annealing, Random Walks etc. have widespread application in areas outside Physics too. So I would recommend this book to people who find these algorithms abstract to take a look to get a good feel on how these algorithms work in a concrete setting. In other words, even if you are not a physicist, understanding how these algorithms work in physical systems will help in other areas like Machine Learning!

I am almost at the end of a MOOC on Statistical Mechanics taught by the author of this book. The MOOC is amazing (like the book). Ideally it would be amazing to read this book in conjunction with the course but this may not be possible for everyone, of course.

If I would offer a suggestion it would be the author should choose a particular computer language for the algorithms in this book in a future edition. Currently they are in psuedocode. Of course, this way these algorithms are more generic and can be implemented by interested readers in any language. But by implementing them in a particular language they become more "alive". In the MOOC course I'm taking, these algorithms are implemented in Python and there is a sort of instantaneous and interesting quality to them. You can run them, you can play around with them. This is not the case with the psuedocode in the book, sadly.
This book is an excellent introduction suitable for senior level undergraduates and graduates in ... 6 April 2015
By A Jolly Good Fellow - Published on Amazon.com
Format: Paperback
This book is an excellent introduction suitable for senior level undergraduates and graduates in physics interested in statistical mechanics and MCMC simulations. The survey of Hard Disks, Bosons, and Ising Lattices showcases the emergence of entropic forces in random systems and takes readers through the mathematics and history of both computational simulation, and the physics the simulations try to solve. While the book does require some understanding of quantum mechanics through the 3rd and 4th chapters, the footnotes and well-maintained appendices at the end of each chapter keeps readers focused on a "need-to-know" track, while giving options for readers who need supplementary information.
Excellent book 27 Mar. 2014
By Guillermo M. Roeder Carbo - Published on Amazon.com
Format: Paperback Verified Purchase
Very clear in computational concepts of statistical mechanics, I enjoy tihis book, the author shown modern concepts in molecular simulations.
1 of 3 people found the following review helpful
I love it, fantastic, a serious book 21 Mar. 2013
By Flavio Lichtenstein - Published on Amazon.com
Format: Paperback Verified Purchase
mix math, physics and algorithms - based on Statiscal Mechanics, presents Physics and Math Theory and how to convert these concepts in algorithms.
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