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Computational Complexity and Statistical Physics

Computational Complexity and Statistical Physics

Computational Complexity and Statistical Physics
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Computational Complexity and Statistical Physics Paperback / softback - 2006 - 1st Edition

by Allon Percus

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Paperback / softback. New. Computer science and physics have been closely linked since the birth of modern computing. This book serves as a standard reference and pedagogical aid to statistical physics methods in computer science, with a particular focus on phase transitions in combinatorial problems. It is useful for students and researchers.
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Details

  • Title Computational Complexity and Statistical Physics
  • Author Allon Percus
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Condition New
  • Pages 384
  • Volumes 1
  • Language ENG
  • Publisher Oxford University Press
  • Publication date 2006-02-23
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Maps
  • Bookseller's Inventory # B9780195177381
  • ISBN 9780195177381 / 019517738X
  • Weight 1.18 lbs (0.54 kg)
  • Dimensions 9.21 x 6.14 x 0.79 in (23.39 x 15.60 x 2.01 cm)
  • Category Mathematics
  • Library of Congress subjects Combinatorial analysis, Computational complexity
  • Library of Congress Catalogue Number 2005047785
  • Dewey Decimal Code 511.352
  • Quantity available 10

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From the publisher

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.

Media reviews

Citations

  • Scitech Book News, 06/01/2006, Page 23

About the author

Allon Percus is Associate Director of the Institute for Pure and Applied Mathematics at UCLA, and a scientist at Los Alamos National Laboratory. He received his Ph.D. in Theoretical Physics from the University of Paris, Orsay, in 1997. His research has combined statistical physics, discrete mathematics, and computer science, focusing primarily on local search algorithms in combinatorial optimization. He has organized numerous conferences and workshops on combinatorics, phase transitions, and algorithmic complexity.

Gabriel Istrate is a scientist at Los Alamos National Laboratory, in the Basic and Applied Simulation Science group. He received his Ph.D. in Computer Science from the University of Rochester in 1999. His primary research interests are in combinatorial, game theoretic, and probabilistic aspects of complex systems. His work in the area of phase transitions has focused on the interplay between threshold properties and computational complexity.

Cristopher Moore is an Associate Professor at the University of New Mexico, and holds a joint appointment in the Computer Science and Physics departments. He received his Ph.D. in Physics from Cornell University in 1991. He has published 80 papers at the interface between these two fields, on topics ranging from statistical physics and phase transitions to quantum algorithms and mapping the internet.

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