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. Editorial Reviews. About the Author. Jon Kleinberg is a Tisch University Professor of Computer Algorithm Design 1st Edition, Kindle Edition. by. Kleinberg, Jon. Algorithm design / Jon Kleinberg, l~va Tardoslst ed. p. cm. Includes bibliographical references and index. ISBN (alk. paper). 1.
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August 6, Author, Jon Kleinberg, was recently cited in the New York Times for his algorifhm analysis research in the Internet age. Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? 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.
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Write a customer review. See all customer images. Read reviews that mention algorithm design computer science international edition well written divide and conquer data structures dynamic programming end of each chapter great book graph theory computer scientist network flow algorithm analysis algorithm books excellent book introduction to algorithms book covers book is perfect algorithms course chapter problems. Showing of 69 reviews.
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There was a problem filtering reviews atrdos now. Please try edsign later. Kindle Edition Verified Purchase. I used it for an Algorithms course and it’s tardoss 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 algoithm cement your understanding and give your grey matter a good workout! 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! 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. 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.
If you do buy the Kindle edition after reading this review, you’ll only have yourself to blame. Typically, the book is clear with its proofs and describes good methods for finding solutions to kleinbwrg 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, desugn 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 kleinnberg. The index is not great. The authors perhaps need desitn 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. I’m not normally a fan of CS textbooks, but this one is great. With the well written text, great examples, and good exercises, this book was fantastic. My only complaint is that the book lacks many solutions to the problems.
Also, the international edition is a perfect soft-cover version – get this klejnberg and save a bunch. I initially thought that I had received a counterfeit copy of the book, but this kleinbery 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 alyorithm 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.
Lecture Slides for Algorithm Design by Jon Kleinberg And &#va Tardos
There is no copyright page. It is not on acid-free paper. 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.
Lecture Slides for Algorithm Design
I have not yet read the book, so read other reviews and deeign 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. Algorithm Design is an approachable introduction to sophisticated computer science.
It is the undergraduate CS textbook for Jon Kleinberg’s introduction to algorithm design course, but I bought it for the mincut classification algorithm explanation in Chapter 7. While a useful reference for graph method algorithm design, I read most of the book from the beginning because the chapters nicely build upon themselves. 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.
Don’t get this unless you need it for school. Although it is the India edition Although it is the India edition, the content is same as the American one. Hope I can learn a lot from it.
This is a great book on algorithms. It covers all the basics plus more in depth analysis than other algorithms books. The only downside I see is it’s lack of concrete implementation.
Beware there is no code in this book only higher level pseudo code so if you want specific examples with code you are better off Google-ing or looking for another book. But if you want to know about problem solving taddos algorithms and crafting your own algorithms from scratch then go with this book. One person found this helpful. See all 69 reviews.
: Algorithm Design eBook: Jon Kleinberg, Ãva Tardos: Kindle Store
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