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Item Details
Title: COMPUTATIONAL COMPLEXITY AND STATISTICAL PHYSICS
By: Allon Percus (Editor), Gabriel Istrate (Editor), Cristopher Moore (Editor)
Format: Hardback

List price: £115.00


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 0195177371
ISBN 13: 9780195177374
Publisher: OXFORD UNIVERSITY PRESS INC
Pub. date: 1 October, 2005
Series: Santa Fe Institute Studies on the Sciences of Complexity
Pages: 384
Description: 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 ofthese fields to contribute to this exciting area.
Synopsis: 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.
Illustrations: 84 halftones & line illus.
Publication: US
Imprint: Oxford University Press Inc
Returns: Non-returnable
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