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Algorithm Design, by Jon Kleinberg, �va Tardos
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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.
- Sales Rank: #238130 in Books
- Brand: Brand: Addison-Wesley
- Published on: 2005-03-26
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x 1.60" w x 8.40" l, 3.30 pounds
- Binding: Hardcover
- 864 pages
- Used Book in Good Condition
Most helpful customer reviews
46 of 47 people found the following review helpful.
Excellent book, but do NOT buy the Kindle edition!
By Rahul Banerjee
This review is for the Kindle edition of "Algorithm Design" by Kleinberg and Tardos Algorithm Design
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.
5 of 5 people found the following review helpful.
Good for reference and teaching, but occassionally makes bad assumptions about obviousness
By Dan
Typically, the book is clear with its proofs and describes good methods for finding solutions to tough problems. Others have said what is good about the book, and as a reference it is great. From a student perspective it has some issues that keep cropping up over and over.
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.
3 of 3 people found the following review helpful.
This book will complicate concepts that should be very straightforward
By Greg Rell
This book is very poorly written. It serves as an ego boost to the authors to speak in such over-the-top abstract academic nonsense. This is not a book to purchase if you're learning algorithms, there are many better ways to describe the concepts and procedures in this book. This book is something you may want to buy if you're familiar with the field and wish to look at these techniques from a different perspective. To learn any of these concepts you would do much better to find some other learning resource online or purchase a different book. The algorithms presented in this book could be presented in a much more plain-language way with better examples on their construction. I am very displeased with this product.
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