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Algorithms 1st Edition

3.8 out of 5 stars 53 customer reviews
ISBN-13: 978-0073523408
ISBN-10: 0073523402
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Editorial Reviews

About the Author

Christos H. Papadimitriou is C. Lester Hogan Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley, where he has taught since 1996 and where he is a former Miller Fellow.
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Product Details

  • Paperback: 336 pages
  • Publisher: McGraw-Hill Education; 1 edition (September 13, 2006)
  • Language: English
  • ISBN-10: 0073523402
  • ISBN-13: 978-0073523408
  • Product Dimensions: 7.1 x 0.5 x 9.6 inches
  • Shipping Weight: 1 pounds (View shipping rates and policies)
  • Average Customer Review: 3.8 out of 5 stars  See all reviews (53 customer reviews)
  • Amazon Best Sellers Rank: #25,266 in Books (See Top 100 in Books)

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Customer Reviews

Top Customer Reviews

Format: Paperback Verified Purchase
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. (I accidentally bought the print version even though I knew about the PDF. At least I was able to resell it for [...])

I used this book for CSE 101 Design and Analysis of Algorithms at UCSD. It's OK, but the level of detail of algorithms was too low for me to use just this book. I sometimes had to reference Wikipedia and other publications to achieve complete understanding.
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Format: Paperback
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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Format: Paperback
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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Format: Paperback
As a CS undergrad at UC San Diego, the author used rough drafts of this book to teach the algorithms course I took as a student. Although we also used the Cormen("The Bible") Algorithms book for casual reference, this text is by far better to explain the concepts behind the algorithms. I must say that the author presents the course with this text far clearer and superior than the usual dry mathematicians and the contents of the material reflects his expertise in lecturing and writing. The lucid writing makes it a joy to actually read an algorithms book, and the exercises are definitely worth investigating. This book simply makes algorithms fun!
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Format: Paperback
Algorithms is a complex topic in computing that needs tentative learning. The authors of this book really succeeded in making learning algorithms more enjoying, interesting, and easy yet comprehensive and advanced. This is a difficult equation, but this book really achieves it. It takes you from the early foundation with the Fibonacci algorithm till the complex graph algorithms while explaining each milestone all over the way. The was they present this subject is in a story manner or a casual discussion between two computing professionals which makes the book interactive, easy to access, and comprehensive. I recommend this book for both beginner and advanced readers in the field of computing.
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Format: Paperback
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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Format: Paperback Verified Purchase
Our instructor tried using this book as a standalone - I absolutely do NOT recommend. I had to refer to the Cormen Algorithms book so many times as well as other resources to actually get the help/understanding I needed. This book made so many steps without explaining itself, etc, that it was near impossible to follow. Also, the online version actually gave more hints and whatnot, and is available completely free. What a waste of money. I give the authors a lot of credit for trying, and I'm sure that for someone who is already an algorithms master that this is a great reference, but this book was not for me. Still got an A in the course, before anyone makes any assumptions.
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Format: Paperback
This book is the best introductory text on algorithms that I have come across. For a layperson trying to understand algorithm analysis and design, I cannot think of a better starting point than this book provides.
The exercises in this book are very valuable to understanding the material especially as the book is terse and does not delve deeply into any particular aspect of algorithms. Overall the book is a joy to read and the exercises are fun.
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