As the speed and power of computers increases, so does the need for effective programming and algorithm analysis. By approaching these skills in tandem, Mark Allen Weiss teaches readers to develop well-constructed, maximally efficient programs in Java.

A full language update to Java 5.0 throughout the text--particularly its use of generics–adds immeasurable value to this advanced study of data structures and algorithms. This Second Edition features integrated coverage of the Java Collections Library as well as a complete revision of lists, stacks, queues, and trees.

Weiss clearly explains topics from binary heaps to sorting to NP-completeness, and dedicates a full chapter to amortized analysis and advanced data structures and their implementation. Figures and examples illustrating successive stages of algorithms contribute to Weiss’ careful, rigorous and in-depth analysis of each type of algorithm. A logical organization of topics and full access to source code compliment the text’s coverage.

From the Back Cover

Advanced Data Structures/Algorithms Java

Data Analysis and Algorithm Analysis in Java, 2/e

Mark Allen Weiss, Florida International University

ISBN : 0-321-37013-9

As the speed and power of computers increase, so does the need for effective programming and algorithm analysis. Mark Allen Weiss approaches these skills jointly to teach the development of well-constructed, maximally efficient programs in Java.

Readers benefit from the full language update to Java 5.0, including generics, and the integrated coverage of the Java Collections Library in this advanced study of data structures and algorithms. Weiss clearly explains his careful, rigorous and in-depth analysis of each type of algorithm.

This Second Edition features:

• Full integration of the new Java 5.0 programming language and the Java Collections Library

• Enhanced interior design, with figures and examples illustrating successive stages of algorithms

• Completely revised coverage of lists, stacks, and queues in Chapter 3

• Full chapter dedicated to the implementation of amortized analysis and advanced data structures

• End-of-chapter exercises, ranked by difficulty, reinforce key chapter concepts

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