Data Structures with Java

John R. Hubbard; Anita Huray

Softcover

ISBN 10: 0131236288 ISBN 13: 9780131236288

Publisher: Prentice Hall, 2003

For a freshman/sophomore-level course in Data Structures in Computer Science.

This text teaches the use of direct source code implementations and the use of the Java libraries; it helps students prepare for later work on larger Java software solutions by adhering to software engineering principles and techniques such as the UML and the Java Collections Framework (JCF). Using the spiral approach to cover such topics as linked structures, recursion, and algorithm analysis, this text also provides revealing illustrations, summaries, review questions, and specialized reference sections.

From the Back Cover:

Hubbard and Huray have completely integrated the power of Java to present data structures in the context of the Java Collections Framework, incorporating the principles of object-oriented programming (OOP) throughout the text. Abstraction is presented through abstract data types (ADTs), Unified Modeling Language (UML) diagrams, and Java interfaces and abstract classes. The authors introduce linked structures early, then cover them in greater depth beginning with Chapter 8. In addition, three entire chapters are devoted to trees.

Data Structure with Java covers all the topics of the standard course on data structures, including the main data structures and algorithms recommended by the ACM. Students with a basic preparation in Java or C++. will appreciate the spiral approach used to develop an increasingly sophisticated understanding of abstract topics such as the analysis of algorithms. Other pedagogic features include:

• Extensive review questions, exercises, programming problems, and projects at the end of each chapter to reinforce learning
• A profusion of multicolored diagrams, tables, and other visual aids to illustrate concepts graphically
• Simple, clear source code listings, presented with the syntax coloring found in professional integrated Development Environment (IDE) editors

About the Author:

John R. Hubbard is Professor- of Mathematics and Computer Science at the University of Richmond.

Anita Huray is Director of the Computer Science Laboratories at the University of Richmond.