- Hardcover: 864 pages
- Publisher: Pearson; 1 edition (March 26, 2005)
- Language: English
- ISBN-10: 0321295358
- ISBN-13: 978-0321295354
- Product Dimensions: 9 x 8 x 1.2 inches
- Shipping Weight: 3.5 pounds (View shipping rates and policies)
- Average Customer Review: 67 customer reviews
- Amazon Best Sellers Rank: #255,128 in Books (See Top 100 in Books)
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Algorithm Design 1st Edition
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The biggest issue is that the authors assume a high degree of "obviousness" in problems. I don't mind having to make an intuitive leap to solve a problem, but this often requires an intuitive leap to understand the actual problem rather than the solution. For example, they do not often define terms used in questions, leaving the user to guess. Perhaps this should fall under the professor's domain, but it is still frustrating. The index is not great. The authors perhaps need to re-evaluate what is common knowledge to practitioners who are not invested in the domain of algorithm analysis.
Otherwise a good book. Heck, if you don't do the exercises and just use it for reference you couldn't do better.
This book is wonderfully organized. I used it for an Algorithms course and it's just very well laid out, with a nice progression of topics. If you want to gain a good "overall" picture of algorithms, this book is perfect. As with any kind of math, if you want to go much deeper, you'll need specialized textbooks for particular topics, but for a reasonably complete, holistic, one-semester course, you'll love this book. I should also point out that there are several well-crafted exercises in each chapter to cement your understanding and give your grey matter a good workout!
IMPORTANT: The Kindle edition of this book is a horribly travesty to the non-digital edition. The typesetting is crude (Amazon, you can do way better!), important figures/diagrams are scaled to tiny sizes, and formulas just plain look incorrect. My best guess is that this was re-typeset by hand, by a non-technical person using MS Word, so they simply messed it up badly. Personally, I am kicking myself for having paid nearly $90 for this, when I could've bought the "real" textbook for $110.
I was sorely tempted to give it a one-star review, but the content is top-notch, brilliantly put-together and an asset to any student of Computer Science. To recap: DO NOT BUY THE KINDLE EDITION!
If you do buy the Kindle edition after reading this review, you'll only have yourself to blame.
Also, the international edition is a perfect soft-cover version - get this one and save a bunch.
I initially thought that I had received a counterfeit copy of the book, but this was my introduction to "international edition" textbooks.
I bought a new, shrink-wrapped copy of this. The text of almost every page runs right into the binding, which makes it difficult to read. The printing on some pages is very crooked. A few pages seem to have been printed on dirty or slightly wrinkled paper. The second page of the book, "About the Authors," is glued for the first half inch to the page in front of it, covering up about the first four letters of each line of text. There is no copyright page. It is not on acid-free paper.
On the positive side, most pages are 100% readable if you jamb your fingers firmly into the binding to push the pages apart. So it may be a bargain if you don't mind doing that. Some of these imperfections are incidental in nature, and I don't know whether my copy is one of the better ones or one of the worse ones.
I have not yet read the book, so read other reviews and ratings for that aspect. It looks like a long, dense read, but well written. There are many diagrams and some code samples throughout.
I don't know if other editions have any color, but this one is only black-and-white. There does not appear to be anything needing color. Gray shading in the diagrams is perfectly legible.
Some sellers mention that this is the "international edition" but others don't. So I recommend checking the ISBN of whatever edition you consider and finding out where it was printed.
I can't promise you that you'll be a great computer scientist if you master the topics in the book, but working through these examples and problems will make you better.