Algorithm Design 1st Edition. by Jon Kleinberg (Author), Éva Tardos (Author). out of 5 . This item:Algorithm Design by Jon Kleinberg Hardcover $ Editorial Reviews. About the Author. Jon Kleinberg is a Tisch University Professor of Computer Science at Cornell University. His research focuses on issues at. 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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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. August 6, Author, Jon Kleinberg, was recently cited in the New York Times for his statistical analysis research in the Internet age. Enter your mobile number or email address below and we’ll send you a link to download the free Kindle App.
Then you can start reading Kindle books on your smartphone, tablet, or computer – no Kindle device required. To get the free app, enter your mobile phone number. Would you like to tell us about a lower price? 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.
Read more Read less. Kindle Cloud Reader Read instantly in your browser. Customers who bought this item also bought. Page 1 of 1 Start over Page 1 of 1. Introduction to Computation and Programming Using Python: Introduction to the Theory of Computation. Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. His research focuses on issues at the interface of networks and information, with an emphasis on the social and information networks that underpin the Web and other on-line media.
She earned her Dipl.
In and Ph. In from Eotvos University, Budapest, Hungary. Product details File Size: Up to 2 simultaneous devices, per publisher limits Publisher: Pearson; 1 edition February 8, Publication Date: February 8, Sold by: Share your thoughts with other customers. Write a customer review.
Kleinberg & Tardos, Algorithm Design | Pearson
jn 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.
Top Reviews Most recent Top Reviews. There was a problem filtering reviews right now. Please try again later. Kindle Edition Verified Purchase. 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 jleinberg, 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! The Kindle edition of this book aalgorithm 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 tagdos, by a non-technical person using MS Word, so they simply messed it up badly.
Desugn 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 kleinnerg 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 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 dexign 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, kleinberh 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 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. 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.
Lecture Slides for Algorithm Design
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 with algorithms and crafting your own algorithms from scratch then go with this book.
: Algorithm Design eBook: Jon Kleinberg, Ãva Tardos: Kindle Store
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