From Book News, Inc.
Treats the design, analysis, and implementation of data structures and algorithms. Data concepts discussed range from the fundamental such as stacks, queues, linked lists, trees, and heaps through to more advanced concepts such as amortization, divide-and-conquer, dynamic programming, the greedy method, and multi-dimensional search trees. The included CD-ROM contains Microsoft Visual J++ 1.1. Book News, Inc.®, Portland, OR


Book Description
The third edition of this conceptually elegant and pedagogically innovative text continues to incorporate the object-oriented design paradigm, using Java as the implementation language, while also providing intuition and analysis of fundamental data structures and algorithms. All of this is done in a clear, friendly writing style that uses visuals to introduce and simplify important analytic and mathematical concepts.
* Entirely new chapter on recursion
* Additional exercises on the analysis of simple algorithms
* New case study on parenthesis matching and HTML validation


Book Info
Text provides an introduction to data structures and algorithms, including their design, analysis, and implementation. For freshman and sophomore level computer science and computer engineering students. Includes expanded coverage of recursion, added material, and expanded and revised exercises. Previous edition: c2001.


The publisher, John Wiley & Sons
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.


From the Back Cover
Fundamental Data Structures Using a Consistent Object-Oriented Framework

Goodrich and Tamassia's Third Edition of Data Structures and Algorithms in Java incorporates the object-oriented design paradigm, using java as the implementation language. 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.

Now fully revised and updated, this Third Edition features an entirely new chapter on recursion, expanded coverage of splay trees, and new examples and programming exercises throughout.

Features Covers analysis and design of fundamental data structures. Presents a consistent object-oriented viewpoint throughout the text. Java code examples are used extensively, with source code provided on the website. Hundreds of exercises that promote creativity help readers learn how to think like programmers and reinforce important concepts. On-line animations and an effective art program in the text illustrate data structures and algorithms in a clear, visual manner.

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


About the Author
Professors Goodrich and Tamassia are well-recognized researchers in algorithms and data structures, having published many papers in this field, with applications to Internet computing, information visualization, computer security, and geometric computing. They have served as principal investigators in several joint projects sponsored by the National Science Foundation, the Army Research Office, and the Defense Advanced Research Projects Agency. They are also active in educational technology research, with special emphasis on algorithm visualization systems.

Michael Goodrich received his Ph.D. in computer science from Purdue University in 1987. He is currently a professor in the Department of Computer Science at University of California, Irvine. Previously, he was a professor at Johns Hopkins University. He is an editor for the International Journal of Computational Geometry & Applications and Journal of Graph Algorithms and Applications.

Roberto Tamassia received his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 1988. He is currently a professor in the Department of Computer Science at Brown University. He is editor-in-chief for the Journal of Graph Algorithms and Applications and an editor for Computational Geometry: Theory and Applications. He previously served on the editorial board of IEEE Transactions on Computers.

In addition to their research accomplishments, the authors also have extensive experience in the classroom. For example, Dr. Goodrich has taught data structures and algorithms courses, including Data Structures as a freshman-sophomore level course and Introduction to Algorithms as an upper level course. He has earned several teaching awards in this capacity. His teaching style is to involve the students in lively interactive classroom sessions that bring out the intuition and insights behind data structuring and algorithmic techniques. Dr. Tamassia has taught Data Structures and Algorithms as an introductory freshman-level course since 1988. One thing that has set his teaching style apart is his effective use of interactive hypermedia presentations integrated with the Web.

The instructional Web sites, datastructures.net and algorithmdesign.net, supported by Drs. Goodrich and Tamassia are used as reference material by students, teachers, and professionals worldwide.

FROM THE PUBLISHER

Provides a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementationNew and expanded coverage of recursion Data structures are presented using ADTs and their implementations Develops a wide spectrum of skills ranging from sound algorithm and data structure design to efficient implementation and coding of these designs in Java

SYNOPSIS

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FROM THE CRITICS

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