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Algorithms Paperback – 16 Oct 2006

by Christos Papadimitriou (Author), Umesh Vazirani (Author), Sanjoy Dasgupta (Author)

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This text explains the fundamentals of algorithms in a story line that makes the material enjoyable and easy to digest. Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal. Features include: The use of boxes to strengthen the narrative: pieces that provide historical context, descriptions of how the algorithms are used in practice, and excursions for the mathematically sophisticated. Carefully chosen advanced topics that can be skipped in a standard one-semester course, but can be covered in an advanced algorithms course or in a more leisurely two-semester sequence. An accessible treatment of linear programming introduces students to one of the greatest achievements in algorithms. An optional chapter on the quantum algorithm for factoring provides a unique peephole into this exciting topic. "Algorithms" is an outstanding undergraduate text, equally informed by the historical roots and contemporary applications of its subject.

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Product details

Paperback: 336 pages
Publisher: McGraw-Hill Education (16 Oct. 2006)
Language: English
ISBN-10: 0073523402
ISBN-13: 978-0073523408
Product Dimensions: 18.5 x 1.3 x 23.4 cm
Average Customer Review: 3 customer reviews
Amazon Bestsellers Rank: 422,678 in Books (See Top 100 in Books)
- #235 in Books > Computers & Internet > Computer Science > Algorithms
- #1074 in Books > Computers & Internet > Digital Lifestyle > Online Shopping > Amazon
- #3620 in Books > Computers & Internet > Computer Science > Programming

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This text explains the fundamentals of algorithms in a story line that makes the material enjoyable and easy to digest. Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal. The features include: the use of boxes to strengthen the narrative: pieces that provide historical context, descriptions of how the algorithms are used in practice, and excursions for the mathematically sophisticated. It includes carefully chosen advanced topics that can be skipped in a standard one-semester course, but can be covered in an advanced algorithms course or in a more leisurely two-semester sequence. It gives an accessible treatment of linear programming and introduces students to one of the greatest achievements in algorithms. An optional chapter on the quantum algorithm for factoring provides a unique peephole into this exciting topic. "Algorithms" is an outstanding undergraduate text, equally informed by the historical roots and contemporary applications of its subject.

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Jackson Tale

Best Algorithms book.

29 January 2015

Format: PaperbackVerified Purchase

Honestly, this book is largely overlooked, maybe because it is not a beginner's book.

Very concise and rich content.

If you have been studied for like half year or one year, this book will instantly summarise what you've learnt in a simple but expressive way.

Highly recommend. Even if you are a beginner, don't forget it and you will need it one day.

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Mr. S. Fernea

good price and recommended

18 March 2015

Format: PaperbackVerified Purchase

top quality product, good price and recommended

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21 February 2009

Format: Paperback

A very well written book. I used it for an undergraduate algorithms course I attended.
It covers a big range of subjects(which i list since I see no preview possibility provided):

- algorithms for numbers
- divide & conquer
- algorithms for graphs
- greedy algorithms
- dynamic programming
- linear programming
- reductions
- NP completeness
- quantum algorithms

A big plus: the writers really try to give the intuition behind the proofs
I definetely recommend it!

2 people found this helpful

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Amazon.com: 63 reviews

Matt T.

Not bad, but there are better options

20 November 2013 - Published on Amazon.com

Format: PaperbackVerified Purchase

More concise than Introduction to Algorithms, certainly, but not better. I often feel that the explanations given in Algorithms are much harder to grasp than those in the CLRS book. Partly, this is due to fewer pages devoted to each concept, and fewer concepts overall (leading to a spottier understanding of the field and the relations between concepts.) However, this is also partly due to what I feel is a more confusing writing and teaching style by the authors of Algorithms.

Algorithms was the assigned text in a class here at UC Berkeley, and I feel I would have been very confused if I did not have CLRS to cross-reference and explain things more clearly, and in more detail.

This text isn't bad, per se, but there are definitely better options. I've taken the class with Christos Papadimitriou, and even he has said that everyone should own CLRS. Given that, I'm not sure what purpose this text serves. Is brevity actually better if you end up spending more time trying to understand things?

9 people found this helpful.

the_bob_man

I like this book FAR more than the CLRS book that ...

30 December 2016 - Published on Amazon.com

Format: PaperbackVerified Purchase

I like this book FAR more than the CLRS book that most introductory algorithms classes use. It is shorter (because it has a lot less fluff), and is much clearer in it's descriptions and examples than CLRS.

5 people found this helpful.

Margaret

Great book, wish the binding was better

1 April 2014 - Published on Amazon.com

Format: PaperbackVerified Purchase

The actual textbook is an excellent introduction to basic classes of algorithms. Most things were pretty clear, and the chapter on NP-completeness ties everything together nicely when it discusses reductions. It is written in such a way that it is actually tolerable to sit down an read, as opposed to just use as a reference. My class was actually provided a pdf draft of the book for free, but I thought that this was one of the rare times where the amount of time I used the book would actually warrant having a physical copy. It's paperback, which is nice for not adding any weight to my already unnecessarily full backpack, but it feels a bit cheaper than you would expect the printing of a $40+ black and white textbook to be.

4 people found this helpful.

Jeffrey

Pretty good, but lacking

22 January 2014 - Published on Amazon.com

Format: PaperbackVerified Purchase

A good text. Structured very nicely with lots of appropriate background that builds up the story and derivation of the algorithms. A bit too terse in places, leaving someone without a teacher hard-pressed to implement their efficient "selection" algorithm for medians or other percentiles into data sets, for instance. This situation happens a few critical times in the text. Although the coverage is good for the price and size of this volume, it really does lack in the amount of pseydocode listings as well. So, overall, good text on a budget and with a good professor, but kind of useless as a reference. Get the MIT press algorithms book if you need a reference text.

4 people found this helpful.

D B

Mmm, tell me more

8 July 2018 - Published on Amazon.com

Format: PaperbackVerified Purchase

Vazirani is the GOAT. This book reads like him whispering sultrily into your ear. It's actually a joy to read and doesn't "feel like a textbook." The book is surprisingly slim, and the chapters feel just as long as they need to be. He taught my Algorithms class, and a number of of our homework problems came from the exercises in this book.

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