[PDF.49rx] Equilibrium Statistical Physics: with Computer simulations in Python
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Equilibrium Statistical Physics: with Computer simulations in Python
Dr. Leonard M. Sander
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| #1645557 in Books | 2013-07-27 | Original language:English | PDF # 1 | 9.00 x.76 x6.00l,.99 | File type: PDF | 334 pages||2 of 2 people found the following review helpful.| It's an interesting idea, but needs a lot of refinement|By Alex T.|I'll start with the pro. The idea of teaching the class with an emphasis on using computation as a pedagogical tool to be able to visualize the physics of large numbers is good.
Unfortunately, aside from that, the book is in a very preliminary form. The subject is taught from a historical perspective,|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.
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.
You can specify the type of files you want, for your device.Equilibrium Statistical Physics: with Computer simulations in Python | Dr. Leonard M. Sander. I was recommended this book by a dear friend of mine.