[PDF.94wk] Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Physics)
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Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Physics)
[PDF.aa00] Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Physics)
Statistical Mechanics: Algorithms and Werner Krauth epub Statistical Mechanics: Algorithms and Werner Krauth pdf download Statistical Mechanics: Algorithms and Werner Krauth pdf file Statistical Mechanics: Algorithms and Werner Krauth audiobook Statistical Mechanics: Algorithms and Werner Krauth book review Statistical Mechanics: Algorithms and Werner Krauth summary
| #529779 in Books | 2006-11-16 | 2006-11-16 | Original language:English | PDF # 1 | 7.40 x.80 x9.70l,1.87 | File type: PDF | 354 pages||4 of 4 people found the following review helpful.| This is a great introduction to algorithms and computations in Statistical Mechanics|By Sidharth Kshatriya|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 P|||"This book is the best one I have reviewed all year."-- Physical Sciences Educational s|||About the Author||Werner Krauth is Research Director at CNRS, Laboratoire de Physique de l'Ecole Normale
This book discusses the computational approach in modern statistical physics in a clear and accessible way and demonstrates its close relation to other approaches in theoretical physics. Individual chapters focus on subjects as diverse as the hard sphere liquid, classical spin models, single quantum particles and Bose-Einstein condensation. Contained within the chapters are in-depth discussions of algorithms, ranging from basic enumeration methods to modern Monte Carlo t...
You can specify the type of files you want, for your gadget.Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Physics) | Werner Krauth. A good, fresh read, highly recommended.