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Data Structures and Algorithms in Java
 
 
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Data Structures and Algorithms in Java [Hardcover]

Michael T. Goodrich (Author), Roberto Tamassia (Author)
2.6 out of 5 stars  See all reviews (44 customer reviews)

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Book Description

0471738840 978-0471738848 August 24, 2005 4
Fundamental data structures in a consistent object-oriented framework


Now revised to reflect the innovations of Java 5.0, Goodrich and Tamassia's Fourth Edition of Data Structures and Algorithms in Java continues to offer accessible coverage of fundamental data structures, using a consistent object-oriented framework. The authors provide intuition, description, and analysis of fundamental data structures and algorithms. Numerous illustrations, web-based animations, and simplified mathematical analyses justify important analytical concepts.

Key Features of the Fourth Edition:
* Updates to Java 5.0 include new sections on generics and other Java 5.0 features, and revised code fragments, examples, and case studies to conform to Java 5.0.
* Hundreds of exercises, including many that are new to this edition, promote creativity and help readers learn how to think like programmers and reinforce important concepts.
* New case studies illustrate topics such as web browsers, board games, and encryption.
* A new early chapter covers Arrays, Linked Lists, and Recursion.
* A new final chapter on Memory covers memory management and external memory data structures and algorithms.
* Java code examples are used extensively, with source code provided on the website.
* Online animations and effective in-text art illustrate data structures and algorithms in a clear, visual manner.


Access additional resources on the web www.wiley.com/college/goodrich):
* Java source code for all examples in the book
* Animations
* Library (net.datastructures) of Java constructs used in the book
* Problems database and search engine
* Student hints to all exercises in the book
* Instructor resources, including solutions to selected exercises
* Lecture slides

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Editorial Reviews

From the Publisher

Using a unique multimedia format for learning the fundamentals of data structures and algorithms, this conceptually elegant and innovative text incorporates the object-oriented design paradigm with Java as the implementation language. The result is a learning experience that provides the fundamental intuition and analysis of each structure studied. A Web site complete with Java applications and applets accompanies the text. Includes CD-ROM with... The Microsoft Visual J++ programming environment. --This text refers to an out of print or unavailable edition of this title.

From the Back Cover

Fundamental data structures in a consistent object-oriented framework

Now revised to reflect the innovations of Java 5.0, Goodrich and Tamassia’s Fourth Edition of Data Structures and Algorithms in Java continues to offer accessible coverage of fundamental data structures, using a consistent object-oriented framework. The authors provide intuition, description, and analysis of fundamental data structures and algorithms. Numerous illustrations, web-based animations, and simplified mathematical analyses justify important analytical concepts.

Key Features of the Fourth Edition:

  • Updates to Java 5.0 include new sections on generics and other Java 5.0 features, and revised code fragments, examples, and case studies to conform to Java 5.0.
  • Hundreds of exercises, including many that are new to this edition, promote creativity and help readers learn how to think like programmers and reinforce important concepts.
  • New case studies illustrate topics such as web browsers, board games, and encryption.
  • A new early chapter covers Arrays, Linked Lists, and Recursion.
  • A new final chapter on Memory covers memory management and external memory data structures and algorithms.
  • Java code examples are used extensively, with source code provided on the website.
  • Online animations and effective in-text art illustrate data structures and algorithms in a clear, visual manner.

Access additional resources on the web www.wiley.com/college/goodrich):

  • Java source code for all examples in the book
  • Animations
  • Library (net.datastructures) of Java constructs used in the book
  • Problems database and search engine
  • Student hints to all exercises in the book
  • Instructor resources, including solutions to selected exercises
  • Lecture slides

Product Details

  • Hardcover: 720 pages
  • Publisher: Wiley; 4 edition (August 24, 2005)
  • Language: English
  • ISBN-10: 0471738840
  • ISBN-13: 978-0471738848
  • Product Dimensions: 9.3 x 7.3 x 1.3 inches
  • Shipping Weight: 3 pounds (View shipping rates and policies)
  • Average Customer Review: 2.6 out of 5 stars  See all reviews (44 customer reviews)
  • Amazon Best Sellers Rank: #101,730 in Books (See Top 100 in Books)

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Customer Reviews

44 Reviews
5 star:
 (6)
4 star:
 (9)
3 star:
 (5)
2 star:
 (10)
1 star:
 (14)
 
 
 
 
 
Average Customer Review
2.6 out of 5 stars (44 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

21 of 22 people found the following review helpful:
3.0 out of 5 stars Hundreds of typos, and authors apparently don't want to know, November 25, 2005
By 
Jonathan Pool (Berkeley, California, USA) - See all my reviews
(REAL NAME)   
This review is from: Data Structures and Algorithms in Java (Hardcover)
I'm finding the 4th edition reasonably clear and comprehensive. However, the book is teeming with typographical errors. Most of them are typesetting errors involving superscripts and subscripts that overlap the adjacent characters so they aren't fully legible. But there are numerous other miscellaneous typos.

So, I've been marking them in my copy, in order to submit them to the authors or publisher, but apparently they don't want to know about the typos. The "errata" section at java.datastructures.net contains no errata and no instructions on how to submit errata. I wrote to one of the authors to ask how to submit errata, but received no reply.
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19 of 21 people found the following review helpful:
4.0 out of 5 stars Third edition is much improved, May 13, 2005
When I learned that this was the required book for my introductory data structures class this semester, I was somewhat worried by the large number of very negative reviews I saw it had received here. However, during the first class meeting, the professor made a point of instructing us to get the third edition (published in 2004), explaining that the differences between the second and third editions were significant.

Judging by the older reviews below, he was right - the book I read seems to bear little if any resemblance to the one denounced by the other reviewers. I found it clear and readable, though it was rather basic and dry. But then, I wasn't expecting great literature - this is a introductory compsci textbook, after all. Though it could be dull at times, it generally managed to get its information across clearly, which is all it needs to do. There were some typos, of course, though probably not more than should be expected to accompany such a major revision. The book's main flaw was an index that had essentially no relation to the actual text itself. A corrected index is available at the book's Web site.

In terms of organization, Goodrich and Tamassia start off with a brief introduction to Java, object oriented design and a brief and very basic discussion of running time and asymptotic analysis. They then work their way through basic data structures and abstract data types - stacks, queues, vectors, lists, trees (general, binary, and binary search), priority queues, heaps, dictionaries, hash tables and graphs. They discuss the structures' purposes and major operations, analyze the operations' running times, and include decent, heavily-documented Java implementations of some of the structures and methods. They also do some stuff with algorithms, though generally nothing very complex or sophisticated. I used this book in an introductory data structures course at a liberal arts college, which managed to cover pretty much everything in the book with little difficulty.

There are a lot of exercises at the end of each chapter. Goodrich and Tamassia divide them up into progressively more complex "Reinforcement", "Creativity" and "Projects" sections. My instructor preferred to assign problems and programming assignments of his own creation, though, so I don't know how helpful or useful the exercises in the book actually are.

All in all, it seem Goodrich and Tamassia noticed the sort of reviews the earlier editions of this book were getting and took steps to correct the many problems they had. I expect that if you have to use the book in a data structures course, you'll find it at least reasonably clear and generally acceptable. As long as you're using the third edition, that is.
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16 of 18 people found the following review helpful:
1.0 out of 5 stars Not Recommended, March 29, 2003
By 
Like many other reviewers, I had to purchase this book for one of my CS courses. As a reference book, it gets no more than 1 star. I find it often confusing in its explanations, incomplete code examples and uneven pace. I understand that it was designed to be a textbook, but it miserably fails to be of any value to a student. For 100+ bucks, I expected a lot more.
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Inside This Book (learn more)
First Sentence:
Building data structures and algorithms requires that we communicate detailed instructions to a computer, and an excellent way to perform such communication is using a high-level computer language, such as Java. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
trinode restructuring, iterable collection, recursion trace, standard trie, double black problem, parametric constructor, proper binary tree, using binary recursion, splaying work, tour traversal, algorithmic design pattern, circularly linked list, extendable array, trailer sentinels, using linear recursion, amortized running time, default comparator, template method pattern, arithmetic expression tree, compressed trie, bucket array, useful mathematical facts, nontree edges, protected int size, skip list
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Java Programming Basics, Invalid Position Exception, Analysis Tools, Operation Time, Operation Output, Collections Framework, Repeat Exercise, John Bowman, Method Time, Exponent Rule, Expression Operator, Java String, Boxed Item, Double-Ended Queues, Electronics R'Us, Playing Duck, Simple Justification Techniques, Text Similarity Testing, The Map Abstract Data Type, Arith Progression, Michael Goodrich, Professor Amongus, Sir Paul
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