These are a revised version of the lecture slides that accompany the textbook Algorithm Design by Jon Kleinberg and Éva Tardos. Here are the original and. These are the offical lecture slides that accompany the textbook Algorithm Design [ Amazon · Pearson] by Jon Kleinberg and Éva Tardos. The slides were. 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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Preview — Algorithm Design by Jon Kleinberg. Algorithm Design by Jon Kleinberg. 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 Algorithm Design introduces algorithms by looking at the real-world problems that motivate them.
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, Author, Jon Kleinberg, was recently cited in the New York Times for his statistical analysis research in the Internet age. Hardcoverpages. Published March 26th by Pearson first published March 16th To see what your friends thought of this book, please sign up.
To ask other readers questions about Algorithm Designplease sign up. Lists with This Book. Apr 14, Rod Hilton rated it really liked it Shelves: It’s an Algorithms book. If you want a reference book to sit on your desk for later use, by all means use CLRS. CLRS is a great book to pick up, flip to the index, find the thing you’re curious about, and read the re It’s an Algorithms book. CLRS is a great book to pick up, flip to the index, find the thing you’re curious about, and read the relevant section on it.
Virtually everything you encounter in Algorithms is in that book. Algorithm Design isn’t that way. Basic data structures like stacks, queues, heaps, trees, and such are not taught at all. You’re expected to already be familiar with these concepts, since they should be covered in a Data Structures course, not an Algorithms course.
Kleinberg & Tardos, Algorithm Design | Pearson
Algorithm Design covers exactly 7 things: These topics tend to show up in graduate courses more than undergrad courses, so if you’re an undergrad, this probably isn’t the right book for you.
But if you’re taking graduate algorithms, this book is fantastic. The reason why is that Algorithm Design doesn’t merely cover those 7 topics, it annihilates them.
The presentation of each topic is so well-covered, so perfectly-paced, so thorough, and so readable, that you almost forget you’re reading a textbook. Topics are kleinverg slowly and gradually. The authors write in a readable style unmatched by any other algorithms book I’ve ever read.
Lecture Slides for Algorithm Design
While you are reading, the authors may make a claim. As soon as they do this, they immediately prove it true.
The proofs are just as readable and followable as the rest of the text. I never felt lost or confused with this book, it was like having an excellent professor close by at all times. Each section is packed with examples – it’s not enough to prove something true, Algorithm Design also delves into enough examples that it makes things extremely clear. My only real complaint is that, in the name of readability, sometimes the book authors deviate a bit too far from standard terminology.
As a quick example, proving a Greedy Algorithm to be correct, one must illustrate that it exhibits a The Greedy-Choice Property and b Optimal Substructure. These names don’t really tell you what they are, so the authors refer to them as the “staying ahead” properties. This works well within the confines of the book because the argument is that the greedy algorithm “stays ahead” of the optimal solution, fardos I can easily imagine a student using that terminology getting confused looks from peers who learned with other books.
Otherwise, AD is a fantastic book that I cannot recommend highly enough for people studying algorithms within the confines of the limited subset of what the book covers. Jul 23, Pz rated it it was amazing. If you need a handbook on algorithms and data structures get CLR. If you want to truly understand algorithm design and analysis, this is your book.
Its one of the few snd with a coherent narrative, as opposed to the “step 1, step2, QED” style of so many other textbooks. The problems are all really good, too. Oct 26, Nachi Vpn rated gardos it was amazing Shelves: Would definitely recommend this to somebody trying to revisit or strengthen their fundamentals in algorithms.
It focuses more on design principles used by algorithms rather than the algorithms themselves. It’s fantastic both as a textbook and otherwise. Probably not the best as a reference though. Sep 07, Li Zhan rated it really liked it. Good selection of topics in good organization and order!
Can be more succinct! May 15, Kory rated it really liked it Shelves: Really good book on algorithms and very in depth, they made everything easy to understand and read. Used for my algorithms and advanced algorithms courses. Exercises are good as well. Jun 08, Chai Zheng Xin rated it really liked it.
Good textbook for graduate class in Dexign.
Focuses on intuitive explanations instead of rigorous esoteric formal language. Mar 25, Abhijit Gupta rated it it was amazing. I’m halfway through kleinerg book. It’s fantastic, to say the least. Rarely does one get to see such clear exposition of nuances in ‘Greedy Algorithms’, ‘Network Flow’. I say this because I’m currently reading other Algorithms and DS books too.
It’s hard not to draw a comparison, especially when the authors make reading enjoyable. Dec 23, Ayberk rated it it was jpn Shelves: It explains the techniques really well and also does a really good job at showing how these techniques are actually used in practice. However, definitely not as comprehensive as CLRS, so buy that one as well because you’ll need a reference sooner or later. Sep 10, Travis Johnson rated it it was amazing. I had a great time with this book and it’s associated class.
Seemed like a great way to learn algorithms-type things. If I remember correctly, it even had a pretty good overview of the Fast Fourier Transform. Jul 29, Fxrcode rated it it was amazing Shelves: Dec 14, Omar Alsaleh rated it it was ok. It’s hard to understand. I don’t like it. Dec 08, Ambarish Hazarnis rated it really liked it Shelves: Jul 28, Zheng zheng rated it it was amazing.
The best algorithm book I used. It is a great enjoyment to read if it is about algorithm! Jan 22, Gleb rated it really liked it Shelves: I guess it’s fair to include the textbooks I read as books I read.
Apr 14, Tpinetz rated it really liked it Shelves: Its a more specialized version of Introduction to Algorithm. If you joon really into algorithms it makes sense to get this.
But most of the time its better to get Introduction to Algorithms. Trgvu rated it it was amazing Sep 08, John Best rated it it was amazing Jul 04, Navid rated it it jin amazing Sep 11, Milanco Trajanovski rated it it was amazing Oct 12, Seroja Ismed rated it liked it Dec 09, Teferi rated it it was amazing Apr desgin, Harsh Patel rated it really liked it Mar 14,