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Synopsis
This is a graduate textbook in Statistical Physics intended for students in Physics, Biophysics, Chemistry, Materials Science, and Engineering. It is based on using computer simulations in Python as a learning tool. Many exercises involve simulations, and a set of listings of computer programs are given in the appendix. Algorithms discussed include molecular dynamics, Metropolis Monte Carlo, Gibbs ensemble, and the Wolff algorithm.
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About the Author
Leonard M. Sander is Professor of Physics and Complex Systems at the University of Michigan, Ann Arbor. His research interests include pattern formation, non-equilibrium statistical physics, and biophysics.
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- PublisherCreateSpace Independent Publishing Platform
- Publication date2013
- ISBN 10 1491066512
- ISBN 13 9781491066515
- BindingPaperback
- LanguageEnglish
- Number of pages334
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Equilibrium Statistical Physics With Computer Simulations in Python : With Computer Simulations in Python
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Equilibrium Statistical Physics: with Computer simulations in Python
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Equilibrium Statistical Physics With Computer Simulations in Python : With Computer Simulations in Python
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Equilibrium Statistical Physics With Computer Simulations in Python : With Computer Simulations in Python
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ISBN 13: 9781491066515
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Equilibrium Statistical Physics With Computer Simulations in Python : With Computer Simulations in Python
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ISBN 13: 9781491066515
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Paperback. Condition: new. Paperback. This is a graduate textbook in Statistical Physics intended for students in Physics, Biophysics, Chemistry, Materials Science, and Engineering. It is based on using computer simulations in Python as a learning tool. Many exercises involve simulations, and a set of listings of computer programs are given in the appendix. Algorithms discussed include molecular dynamics, Metropolis Monte Carlo, Gibbs ensemble, and the Wolff algorithm. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781491066515
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