9780198566779-0198566778-Statistical Mechanics: Entropy, Order Parameters and Complexity (Oxford Master Series in Physics)

Statistical Mechanics: Entropy, Order Parameters and Complexity (Oxford Master Series in Physics)

ISBN-13: 9780198566779
ISBN-10: 0198566778
Author: James P. Sethna
Publication date: 2006
Publisher: Oxford University Press
Format: Paperback 349 pages
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ISBN-13: 9780198566779
ISBN-10: 0198566778
Author: James P. Sethna
Publication date: 2006
Publisher: Oxford University Press
Format: Paperback 349 pages

Summary

Statistical Mechanics: Entropy, Order Parameters and Complexity (Oxford Master Series in Physics) (ISBN-13: 9780198566779 and ISBN-10: 0198566778), written by authors James P. Sethna, was published by Oxford University Press in 2006. With an overall rating of 3.7 stars, it's a notable title among other Mechanical (Engineering, Entropy, Physics, Mathematical Physics, Mechanics) books. You can easily purchase or rent Statistical Mechanics: Entropy, Order Parameters and Complexity (Oxford Master Series in Physics) (Paperback) from BooksRun, along with many other new and used Mechanical books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.63.

Description

In each generation, scientists must redefine their fields: abstracting, simplifying and distilling the previous standard topics to make room for new advances and methods. Sethna's book takes this step for statistical mechanics--a field rooted in physics and chemistry whose ideas and methods are now central to information theory, complexity, and modern biology. Aimed at advanced undergraduates and early graduate students in all of these fields, Sethna limits his main presentation to the topics that future mathematicians and biologists, as well as physicists and chemists, will find fascinating and central to their work. The amazing breadth of the field is reflected in the author's large supply of carefully crafted exercises, each an introduction to a whole field of study: everything from chaos through information theory to life at the end of the universe.

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