Algorithm Design

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Pearson/Addison-Wesley, 2006 - Computers - 838 pages
2 Reviews
Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science.

August 6, 2009 Author, Jon Kleinberg, was recently cited in the New York Times for his statistical analysis research in the Internet age.



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Well, this is the BEST book on the design of Algorithms among its contemporaries. I've gone through most of the books on Algorithm Design, including the famed Cormen, but this one beats them all.
Every chapter is carefully written. Every idea is neatly presented, along with the motivation that led to it. Various lemmas and proofs leading to the structure/correctness of algorithms are succinctly given. Every concept is treated in the best manner possible, and all the hidden turns and tweaks become visibly evident. Moreover, the language is friendly to the extent that the book can be read as a novel. The end-of-the-chapter exercises are few of the best one can ever ask for, truly enhancing one's understanding of concepts.
If you are even remotely interested in Algorithms, this book is a must-have.
 

LibraryThing Review

User Review  - jphenow - LibraryThing

Informative, but as most books of this nature, quite dry. I just can't give it an extremely high rating for being that dry. Read full review

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About the author (2006)

Jon Kleinberg is the Tisch University Professor in the Computer Science Department at Cornell University. He is a member of the National Academy of Engineering and the American Academy of Arts and Sciences. His research focuses on issues at the interface of networks and information, with an emphasis on the social and information networks that underpin the Web and other online media. He is the recipient of MacArthur, Packard, and Sloan Foundation Fellowships; the Nevanlinna Prize; the ACM-Infosys Foundation Award; and the National Academy of Sciences Award for Initiatives in Research.

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