Working Classes: Data Structures and Algorithms Using C++ (The Pws Series in Computer)

Decker, Rick; Hirshfield, Stuart

ISBN 10: 053494566X / ISBN 13: 9780534945664

Published by Cengage Learning, 1995

About this Item

Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships USPS Media Mail.

Seller Inventory # OTV.053494566X.VG

Bibliographic Details

• Title: Working Classes: Data Structures and Algorithms Using C++ (The Pws Series in Computer)
• Publisher: Cengage Learning
• Publication Date: 1995
• Language: English
• ISBN 10: 053494566X
• ISBN 13: 9780534945664
• Binding: Hardcover
• Condition: very_good

About this title

Synopsis

Based on object-oriented programming using C++, Working Classes strikes a balance between traditional CS2 topics and more progressive concepts and language, providing a clear understanding of what a data structure really is. And it can be used successfully by your students, whether or not they used an OOP approach in their CS1 class. The authors present key concepts in the text of topics that students will encounter later, such as memory management for lists and parsing for trees. The text includes hundreds of exercises plus a library of C++ code so students can experiment. The authors focus on "classes" as a particular implementation of an abstract data type, demonstrating the power, adaptability, and reusability of object-oriented programs.

About the Authors

Rick Decker is a Professor of Computer Science at Hamilton College. In addition to authoring numerous textbooks, Dr. Decker's research interests include computer science education, algorithms and computability, and topological graph theory. He has won teaching awards from Ohio State, Hobart and William Smith Colleges, and Hamilton College.

Stuart Hirshfield is a Professor of Computer Science at Hamilton College. He was an original member of the Liberal Arts Computer Science consortium, and continues to conduct research in the fields of computer science education, software engineering, and artificial intelligence.