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Introduction to Algorithms Review

First of all, this is the quintessential book on algorithms. If you want to learn, this is the book to get. The information in the book is awesome and it can make an excellent reference.
Students will need a very strong mathematical background and a strong arm to even think about picking up this book because the it is heavy (both physically and metaphorically). Mastery of discrete math is a must, graph theory, programming, and, combinatorics will also help.
With that said, this book falls short in one MAJOR area, explanations. Too often explanations are left out and left as exercises and there are no solutions to the exercises! Or details are replaced by ambiguous statements such as of "cleary, this works", or "it is easy to see that this ...". I get the concept of learning by doing, really I do, but there should be some kind of solutions so the student can CHECK his/her understanding of the material and sometimes the exercises are not about advanced aspects of a concept, sometimes it is the core material. Even if the solution manual only contained a simple answer without the work. Not only would it help tremendously but the purpose of doing the exercises would be preserved; that is the student getting his/her "hands dirty" and working out a problem.
For the love everything good and pure in this universe, I really wish writers of mathematical books would stop using statements like "clearly this works" or "it is easy to see", "it is obvious" etc. While that may be true for you and your brilliant circle of colleagues, everything is not always clear and obvious to your readers. Save all of that ambiguity for your research paper.

A great book should deliver in two areas; it should challenge and it should inform. The challenge is there, no doubt. However in some ways it fails to inform the reader. The authors should really think about releasing a students solution manual to help students learn better. I take away two stars for the reasons stated about.

Introduction to Algorithms Overview

"Introduction to Algorithms, the 'bible' of the field, is acomprehensive textbook covering the full spectrum of modern algorithms: from thefastest algorithms and data structures to polynomial-time algorithms for seeminglyintractable problems, from classical algorithms in graph theory to specialalgorithms for string matching, computational geometry, and number theory. Therevised third edition notably adds a chapter on van Emde Boas trees, one of the mostuseful data structures, and on multithreaded algorithms, a topic of increasingimportance."--Daniel Spielman, Department of Computer Science, YaleUniversity (Daniel Spielman )

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