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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:
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.
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