Concentration of Measure for the Analysis of Randomized Algorithms

Dubhashi, Devdatt P. & Alessandro Panconesi

ISBN 10: 0521884276 / ISBN 13: 9780521884273

Published by Cambridge University Press, 2009

About this Item

Bookplate, otherwise text clean and tight; no dust jacket; 8.90 X 6.10 X 0.90 inches; 214 pages.

Seller Inventory # 208686

Bibliographic Details

• Title: Concentration of Measure for the Analysis of Randomized Algorithms
• Publisher: Cambridge University Press
• Publication Date: 2009
• Language: English
• ISBN 10: 0521884276
• ISBN 13: 9780521884273
• Binding: Hardcover
• Condition: Very Good
• Dust Jacket Condition: No Dust Jacket As Issued

About this title

Synopsis

This book presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of randomized algorithms.

About the Authors

Devdatt P. Dubhashi is Professor in the Department of Computer Science and Engineering at Chalmers University, Sweden. He earned a Ph.D. in computer science from Cornell University and held positions at the Max-Planck-Institute for Computer Science in Saarbruecken, BRICS, the University of Aarhus and IIT Delhi. Dubhashi has published widely at international conferences and in journals, including many special issues dedicated to best contributions. His research interests span the range from combinatorics to probabilistic analysis of algorithms, and more recently, to computational systems biology and distributed information systems such as the Web.

Alessandro Panconesi is Professor of Computer Science at Sapienza University of Rome. He earned a Ph.D. in computer science from Cornell University and is the recipient of the 1992 ACM Danny Lewin Award. Panconesi has published more than 50 papers in international journals and selective conference proceedings and he is the associate editor of the Journal of Discrete Algorithms and the director of BiCi, the Bertinoro International Center of Informatics. His research spans areas of algorithmic research as diverse as randomized algorithms, distributed computing, complexity theory, experimental algorithmics, wireless networking and Web information retrieval.