This book is a thorough overview of the primary techniques and models used in the mathematical analysis of algorithms. The first half of the book draws upon classical mathematical material from discrete mathematics, elementary real analysis, and combinatorics; the second half discusses properties of discrete structures and covers the analysis of a variety of classical sorting, searching, and string processing algorithms.
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Robert Sedgewick is the William O. Baker Professor of Computer Science at Princeton University. He is a Director of Adobe Systems and has served on the research staffs at Xerox PARC, IDA, and INRIA. He earned his Ph.D from Stanford University under Donald E. Knuth.
About Philippe Flajolet The late Philippe Flajolet was a Senior Research Director at INRIA, Rocquencourt, where he created and led the ALGO research group, attracting visiting researchers from all over the world. He is celebrated for having opened new lines of research in the analysis of algorithms, having developed powerful new methods, and having solved difficult, open problems. Dr. Flajolet taught at Ecole Polytechnique and Princeton University; he also held visiting positions at Waterloo University, Stanford University, the University of Chile, the Technical University of Vienna, IBM, and Bell Laboratories. He received several prizes, including the Grand Science Prize of UAP (1986), the Computer Science Prize of the French Academy of Sciences (1994), and the Silver Medal of CNRS (2004). He was elected a Member of the Academia Europaea in 1995 and a Member (Fellow) of the French Academy of Sciences in 2003.
Phillipe passed away suddenly and unexpectedly a few months ago.
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Soft cover. Etat : Near Fine. No Jacket. 6" X 9", 492 pages. This book provides a thorough introduction to the primary techniques used in the mathematical analysis of algorithms. The authors draw from classical mathematical material, including discrete mathematics, elementary real analysis, and combinatorics, as well as from classical computer science material, including algorithms and data structures. They focus on "average-case" or "Probabilistic" analysis, although they also cover the basic mathematical tools reqiued for "worst-case" or "complexity" analysis. Topics include recurrences, generating functions, asymptotics, trees, strings, maps, and an analysis of sorting, tree search, string search, and hashing algorithms. N° de réf. du vendeur 003786
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