Computational Complexity and Statistical Physics de Allon Percus

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

Allon Percus

Gabriel Istrate

Cristopher Moore

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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	Preț	Express
Paperback (1)	334^.72 lei 31-37 zile
Oxford University Press – 9 mar 2006	334^.72 lei 31-37 zile
Hardback (1)	906^.31 lei 31-37 zile
Oxford University Press – 15 dec 2005	906^.31 lei 31-37 zile

Preț

Express

Paperback (1)

334^.72 lei 31-37 zile

Oxford University Press – 9 mar 2006

334^.72 lei 31-37 zile

Hardback (1)

906^.31 lei 31-37 zile

Oxford University Press – 15 dec 2005

906^.31 lei 31-37 zile

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Notă biografică

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.