Search Books
C++ Distilled: A Concise AN… An Introduction to Object-O…

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

Publisher Oxford University Press
Category Computers
📄 Viewing lite version Full site ›
🌎 Shop on Amazon — choose country
67.00 USD
🛒 Buy New on Amazon 🇺🇸 🏷 Buy Used — $40.15

✓ Usually ships in 4 days

Share:
Book Details
ISBN / ASIN019517738X
ISBN-139780195177381
AvailabilityUsually ships in 4 days
Sales Rank4,554,122
CategoryComputers
MarketplaceUnited States 🇺🇸

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.
Windows XP, Vol. 1 (SELECT Series)
View
Internet Searching and Indexing: The Subject Approach
View
Control Problems in Industry: Proceedings from the SIA…
View
Open Source Systems Security Certification
View
Java: Data Structures and Programming
View
User-Centered Web Development
View
Query Processing in Database Systems (Topics in Inform…
View
Fundamentals of SQL Server 2005
View
Dreamweaver CS4: The Missing Manual (Spanish Edition)
View