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Data Structures and Algorithm Analysis in Java

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Data Structures and Algorithm Analysis in Java [Hardcover]

Mark A. Weiss (Author)

4.3 out of 5 stars See all reviews (3 customer reviews)

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Product details

Hardcover: 576 pages
Publisher: Addison Wesley; 1 edition (20 Oct 1998)
Language English
ISBN-10: 0201357542
ISBN-13: 978-0201357547
Product Dimensions: 24.1 x 19.6 x 2.5 cm

Average Customer Review: 4.3 out of 5 stars See all reviews (3 customer reviews)

Amazon Bestsellers Rank: 965,917 in Books (See Top 100 in Books)
- #35 in Books > Computers & Internet > Computer Science > Algorithms > Java
- #69 in Books > Computers & Internet > Computer Science > Databases > Java & Databases

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Product Description

Mark Allen Weiss provides a proven approach to algorithms and data structures using the exciting Java programming language as the implementation tool. With Java he highlights conceptual topics, focusing on ADTs and the analysis of algorithms for efficiency as well as performance and running time. Dr. Weiss also distinguishes this text with a logical organization of topics, his engaging writing style and an extensive use of figures and examples showing the successive stages of an algorithm. Included are algorithm and design techniques and amortized analysis, plus a new chapter on advanced data structures and their implementation.

From the Back Cover

Mark Allen Weiss provides a proven approach to algorithms and data structures using the exciting Java programming language as the implementation tool. With Java he highlights conceptual topics, focusing on ADTs and the analysis of algorithms for efficiency as well as performance and running time. Dr. Weiss also distinguishes this text with a logical organization of topics, his engaging writing style, and an extensive use of figures and examples showing the successive stages of an algorithm.

Features

Contains extensive sample code using Java 1.2, which is available over the Internet.
Covers the Java Collections Library in an appendix.
Includes a chapter on algorithm and design techniques that covers greedy algorithms, divide-and-conquer algorithms, dynamic programming,
randomized algorithms, and backtracking.
Presents current topics and new data structures such as Fibonacci heaps, skew heaps, binomial queues, skip lists, and splay trees.
Offers a chapter on amortized analysis that examines the advanced data structures presented earlier in the book.
Provides a chapter on advanced data structures and their implementation, covering red-black trees, top-down splay trees, treaps, k-d trees, pairing heaps, and more.

0201357542B04062001

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Most Helpful Customer Reviews

2 of 2 people found the following review helpful

Good coverage of the topic, but overpriced for the size. 4 May 2000

By A Customer

Format:Hardcover

This is a book I was 'forced' to buy, as part of my University course was based on it. I was impressed with the book in general, it covers the topic in great depth, as you would expect for Weiss. Unfortunatley two things let it down. It's a hard back book and thus rediculously heavy, and I personally found the price to be rather high (not Amazons fault) which is why I don't give it 5/5.

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More helpful than most 23 Feb 2002

By kev (gillsfc@hotmail.com)

Format:Hardcover

Weiss provides a good all-round coverage of the commonest algorithms and data structures that are taught on most Computer Science degrees. This book has been useful for my course, although I would not buy it due to its high price - get your University to get a copy! The content is presented in a logical manner - however, one particular downside is that he leaves a lot of otherwise useful implementations as 'examples for the reader' before he has said enough about them beforehand. Otherwise, it is a useful reference.

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0 of 1 people found the following review helpful

Extremely useful for any Computer Science Student at University 3 May 2011

By Steffan Harries

Format:Paperback

If you're a second or third year student at uni aiming at a Computer Science degree this book is a must. It covers *everything* you need to know on Data-structures, Algorithms, Big-Oh analysis with examples and tasks to do. Simply can't emphasise that enough!

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