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Algorithms (Paperback)

~ (Author), Christos Papadimitriou (Author), Umesh Vazirani (Author)
4.3 out of 5 stars  See all reviews (18 customer reviews)

Price: $30.56 & this item ships for FREE with Super Saver Shipping. Details
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Algorithms + Introduction to Algorithms, Second Edition + The Algorithm Design Manual
Price For All Three: $159.78

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Editorial Reviews

Product Description

This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, 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. In addition to the text, DasGupta also offers a Solutions Manual, which is available on the Online Learning Center.

"Algorithms is an outstanding undergraduate text, equally informed by the historical roots and contemporary applications of its subject. Like a captivating novel, it is a joy to read." Tim Roughgarden Stanford University


Product Details

  • Paperback: 336 pages
  • Publisher: McGraw-Hill Science/Engineering/Math; 1 edition (September 13, 2006)
  • Language: English
  • ISBN-10: 0073523402
  • ISBN-13: 978-0073523408
  • Product Dimensions: 9.1 x 7.4 x 0.6 inches
  • Shipping Weight: 1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (18 customer reviews)
  • Amazon.com Sales Rank: #268,617 in Books (See Bestsellers in Books)

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18 Reviews
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 (1)
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Average Customer Review
4.3 out of 5 stars (18 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
33 of 34 people found the following review helpful:
5.0 out of 5 stars a masterpiece, March 13, 2007
As a professor in a state university, I learn, teach, and research on computer algorithms. Not many computer books are a joy to read, but
this one is exceptional: It is concise, informative, and inspiring.

I don't know since when computer books are synonymous to boring, lengthy
piles of printed papers filled with screen dumps. Truely innovative
books are rare. Not only does this book explain algorithms clearly, it also tells the stories behind them.

I would consider this book a good complement rather than a substitution
to Corman et al's book Introduction to Algorithms (which is one of the
most widely used textbook for algorithm course). If you just want to
find a book where you can translate the suedo code into a program, this
is not for you. The focus of this book is to explain and to inspire (which is also what I believe the real "Education" should be) rather than
dumping the students' head with codes and rules.

I would also like to mention that the book "the design and analysis of
algorithms" is also a good one. It is good for most colleges at undergraduate level except for a few "top-level" universities.
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15 of 18 people found the following review helpful:
5.0 out of 5 stars Great introductory text on algorithms, October 14, 2006
By Z. SONG (San Jose, CA USA) - See all my reviews
(REAL NAME)   
This is one of the best introductory text on algorithms I've ever read. The concepts are presented clearly, the writing style is lucid, and whole book is very easy to follow. It emphasizes the ideas and insightful hints behind every algorithms, rather than the overly rigorous mathmatic proofs often found in other books. The book also includes a lot of exercises, as a complementary to the content. The side bars also provide a lot of interesting information.
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9 of 10 people found the following review helpful:
5.0 out of 5 stars My first choice as an instructor, March 4, 2008
I occasionally teach algorithms at CU Boulder to our undergraduates. This book accomplishes what it set out to do: provide a comprehensible (but not comprehensive) treatment of a core piece of Computer Science at an affordable cost.

That we get one of the greatest researchers in the area (Papadimitriou) alongside two other distinguished authors is just icing on the cake.

The first printing had numerous errors, though the online version of the book had already corrected many of them. I haven't used the book since then, but will in the Fall, and I'd expect with the vigor already invested by the authors, the book will be in even better shape.

I'm glad they wrote this thing.. it was long overdue.
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Most Recent Customer Reviews

5.0 out of 5 stars Algorithms
I purchased this book for a college course. It came in plenty of time for school.
I will always buy school books first from amazon. Read more
Published 29 days ago by Joey Mangan

2.0 out of 5 stars As a student
I took this class as a student and I was not impressed at all by the text. The text is far too informal. The problems unchallenging. The algorithms uninteresting. Read more
Published 5 months ago by Cesar C. Garcia

5.0 out of 5 stars great book that covers a lot of ground
This is one of the best algorithms books out there. What I like about it is the breadth of the topics discussed. I wouldn't suggest it as a starters book by its own though. Read more
Published 5 months ago by Bugra

2.0 out of 5 stars Better as a Refresher Than a Stand-Alone Textbook
I am in the unfortunate situation of being in my first Algorithms class using this as our sole textbook. Read more
Published 8 months ago by Charasan

5.0 out of 5 stars Great Book
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... Read more
Published 8 months ago by A. Georgios

5.0 out of 5 stars One of the best textbooks I had so far
I took a course that utilized this book a year ago, and I was very impressed with the quality of both the text and the exercises. Read more
Published 10 months ago by John

3.0 out of 5 stars Available online for free; lacks some details and explanation
The entire book is available in PDF on Vazirani's website here: [...]

The website says "draft" but it's the same or better (errata corrected) than the print version... Read more
Published 10 months ago by Kenyon Ralph

3.0 out of 5 stars A reasonable textbook that needs much more...
I'm a studnet who's currently taking this an algorithm class in UCB based on this textbook. I have to say that this book is not a bad algorithm book, but it's really overly terse... Read more
Published 12 months ago by Tony "Cal Student"

5.0 out of 5 stars An excellent and small choice for a textbook in algorithms
One of the most appealing characteristics of this book is the small size. Textbooks in algorithms are similar to those of other fields in that they have continued to increase in... Read more
Published 14 months ago by Charles Ashbacher

3.0 out of 5 stars Supplemental Text Only
The top choice for an algorithms text is generally considered to be Cormen, et al. However, Cormen is not unassailable, and an author that is able to provide an alternate and... Read more
Published 17 months ago by Larry Musa

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