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Data Structures and Algorithms in Java [Hardcover]

Michael T. Goodrich , Roberto Tamassia
3.1 out of 5 stars  See all reviews (10 customer reviews)

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Book Description

February 9, 2010 0470383267 978-0470383261 5
* This newest edition examines fundamental data structures by following a consistent object-oriented framework that builds intuition and analysis skills of data structures and algorithms
* Presents new figures, simpler language, and more practical motivations from real-world scenarios
* Numerous illustrations, Web-based animations, and simplified mathematical analyses help readers quickly learn important concepts

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http://bcs.wiley.com/he-bcs/Books?action=resource&bcsId=5449&itemId=0470383267&resourceId=20377


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Data Structures and Algorithms in Java + Head First Java, 2nd Edition
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Editorial Reviews

About the Author

Professors Goodrich and Tamassia are well-recognized researchers in data structures and algorithms. Michael Goodrich received his Ph.D. in Computer Science from Purdue University. He is currently a professor in the Department of Computer Science at the University of California, Irvine. Roberto Tamassia received his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign. He is currently a professor in the Department Science at Brown University. Both professors are winners of numerous teaching awards for their teaching of data structures and algorithms.

Product Details

  • Hardcover: 736 pages
  • Publisher: Wiley; 5 edition (February 9, 2010)
  • Language: English
  • ISBN-10: 0470383267
  • ISBN-13: 978-0470383261
  • Product Dimensions: 9.4 x 7.9 x 1.2 inches
  • Shipping Weight: 1.9 pounds (View shipping rates and policies)
  • Average Customer Review: 3.1 out of 5 stars  See all reviews (10 customer reviews)
  • Amazon Best Sellers Rank: #534,391 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews
1 of 1 people found the following review helpful
3.0 out of 5 stars okay but not great February 21, 2011
By Stefan
Format:Hardcover|Verified Purchase
The book isn't bad, but it's not the best book ever. It is very mathematical, which I don't mind, but sometimes the author tries to be way to general and a few more examples would be nice.
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4 of 6 people found the following review helpful
1.0 out of 5 stars Just awful March 15, 2011
By NICK
Format:Hardcover
I wish this wasn't assigned for my Java Algorithms course. Obtuse definitions and few examples. I am having to look elsewhere for better explanations. Thank god for torrents.
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2 of 3 people found the following review helpful
1.0 out of 5 stars Can you give me a clear definition?????? December 4, 2012
By 1
Format:Hardcover|Verified Purchase
Horrible book...Absolutely Horrible coding style and horrendous design pattern. He uses the most counter-intuitive way to write r code. I have never seen one person implement tree's operations in such an obscure way..
The definitions are just so confusing and sometimes contradictory. What is an external node?????????????????????????????Can you tell me that???
All the notations and variable names are being thrown around arbitrarily. His code is just not for human to read. How much time have I wasted just to figure out what is a,b,c,d,u,v,w,m??? Absolutely horrible book.
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1 of 2 people found the following review helpful
4.0 out of 5 stars Good quality February 21, 2014
Format:Hardcover|Verified Purchase
A good book even marked as used, like new. Will like to try cheap used book in the future buy.
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2 of 4 people found the following review helpful
2.0 out of 5 stars You can find much better than this... May 19, 2011
Format:Hardcover
Kinda going off what other reviewers have said, the book has a lot of typos, the code samples are hideous to look at (one-character variable names everywhere, hooray). Indeed the book is similarly confusing to a poorly written Calculus textbook in that, you get the feeling that the author just likes to write a lot and not actually explain anything all that well. I had a Data Structures class based on this book and its pretty safe to say people did their learning with the instructor and tried to avoid the textbook as much as possible. If this is required for a class, I can understand buying it, but if you're doing self learning (then first of all why are you buying a paperback) you can find far better resources than this book.
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