9780195177381-019517738X-Computational Complexity and Statistical Physics (Santa Fe Institute Studies on the Sciences of Complexity)

Computational Complexity and Statistical Physics (Santa Fe Institute Studies on the Sciences of Complexity)

ISBN-13: 9780195177381
ISBN-10: 019517738X
Edition: 1
Author: Cristopher Moore, Allon Percus, Gabriel Istrate
Publication date: 2006
Publisher: Oxford University Press
Format: Paperback 384 pages
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Book details

ISBN-13: 9780195177381
ISBN-10: 019517738X
Edition: 1
Author: Cristopher Moore, Allon Percus, Gabriel Istrate
Publication date: 2006
Publisher: Oxford University Press
Format: Paperback 384 pages

Summary

Computational Complexity and Statistical Physics (Santa Fe Institute Studies on the Sciences of Complexity) (ISBN-13: 9780195177381 and ISBN-10: 019517738X), written by authors Cristopher Moore, Allon Percus, Gabriel Istrate, was published by Oxford University Press in 2006. With an overall rating of 4.1 stars, it's a notable title among other Computer Science (Linguistics, Words, Language & Grammar , Electromagnetism, Physics, Mathematical Physics, Solid-State Physics) books. You can easily purchase or rent Computational Complexity and Statistical Physics (Santa Fe Institute Studies on the Sciences of Complexity) (Paperback) from BooksRun, along with many other new and used Computer Science books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Computer science and physics have been closely linked since the birth of modern computing. In recent years, an interdisciplinary area has blossomed at the junction of these fields, connecting insights from statistical physics with basic computational challenges. Researchers have successfully applied techniques from the study of phase transitions to analyze NP-complete problems such as satisfiability and graph coloring. This is leading to a new understanding of the structure of these problems, and of how algorithms perform on them.Computational Complexity and Statistical Physics will serve as a standard reference and pedagogical aid to statistical physics methods in computer science, with a particular focus on phase transitions in combinatorial problems. Addressed to a broad range of readers, the book includes substantial background material along with current research by leading computer scientists, mathematicians, and physicists. It will prepare students and researchers from all of these fields to contribute to this exciting area.
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