Ebook Algorithm Design, by Jon Kleinberg, Éva Tardos
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Algorithm Design, by Jon Kleinberg, Éva Tardos
Ebook Algorithm Design, by Jon Kleinberg, Éva 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: #248644 in Books
- Brand: Brand: Addison-Wesley
- Published on: 2005-03-26
- Original language: English
- Number of items: 1
- Dimensions: 9.30" h x 2.00" w x 8.50" l, 3.30 pounds
- Binding: Hardcover
- 864 pages
- Used Book in Good Condition
Most helpful customer reviews
38 of 39 people found the following review helpful.
Slightly better than Cormen - highly readable
By Przemyslaw Drochomirecki
Best undergraduate handbook about algorithms i've seen so far.
Examples are much less artificial than in CLRS (Introduction to Algorithms). Most of them are highly practical, e.g. using Kruskal's MST algorithm as a simple clustering device.
It's worth mentioning that E.Tardos is a world-class calibre specialist in graph algorithms. When you feel unsatisfied with network flows chapter, you can read her survey of network flows (written with two other graph titans - Goldberg and Tarjan)
The division into chapters is good, yet classical. There are also exercises after each chapter, lots of them, good for preparation if you have algorithm-oriented job interview (Google, Yahoo, Microsoft etc.).
What's next? Read Tarjan's evergreen classic - Data Structures and Network Algorithms.
36 of 37 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.
61 of 66 people found the following review helpful.
Detailed, clear and complete
By Szymon Rozga
The flow in this book is excellent. The authors do a great job in organizing this book in logical chapter. The chapters are organized into techniques to find solutions to particular problems, like for example, Greedy Algorithms, Divide and Conquer, and Dynamic Programming.
Each chapter contains a few representative problems of the technique or topic discussed. These are discussed in great detail, which is helpful to initially grasp the concepts. Furthermore, the end of each chapter contains a number of solved exercises. These are written up in less detail than the chapter problems, because they are usually slight variations or applications of the representative problems. I found these to be very helpful to me, as to build up a stronger grasp of the problem at hand.
Furthemore, the progressive search for a solution, such as for the Weighted Interval Scheduling problem using dynamic programming, is essential to understanding the process through which we can find such algorithms. The book is well written, in a clear, understandable language. The supplementary chapters on Basics of Algorithm Analysis and Graph Theory are a great started for people who have not been exposed to those concepts previously.
Network flows are covered extensively with their applications. I suppose this section of the course was enhanced because our instructor's research interests are Network Flows and she threw example after example at us. There are a great number of problems at the end of this chapter to practice.
(...)
One of the strenghs of this book, is that when the authors determine the running time of a particular algorithm, they write about how to implement it, with which data structures and why. Although it is assumed that data structures are common knowledge for the reader, this type of analysis is helpful for further understanding of such structures.
All in all, this is a great textbook for an introductory course in the design of algorithms.
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