Objects, Abstraction, Data Structures and Design
Paul A. T. Wolfgang, Elliot B. Koffman
Language: English
Published by John Wiley and Sons Inc, US, 2005
- Softcover
- New

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Koffman and Wolfgang introduce data structures in the context of C++ programming. They embed the design and implementation of data structures into the practice of sound software design principles that are introduced early and reinforced by 20 case studies. Data structures are introduced in the C++ STL format whenever possible. Each new data structure is introduced by describing its interface in the STL. Next, one or two simpler applications are discussed then the data structure is implemented following the interface previously introduced. Finally, additional advanced applications are covered in the case studies, and the cases use the STL. In the implementation of each data structure, the authors encourage students to perform a thorough analysis of the design approach and expected performance before actually undertaking detailed design and implementation. Students gain an understanding of why different data structures are needed, the applications they are suited for, and the advantages and disadvantages of their possible implementations. Case studies follow a five-step process (problem specification, analysis, design, implementation, and testing) that has been adapted to object-oriented programming. Students are encouraged to think critically about the five-step process and use it in their problem solutions. Several problems have extensive discussions of testing and include methods that automate the testing process. Some cases are revisited in later chapters and new solutions are provided that use different data structures. The text assumes a first course in programming and is designed for Data Structures or the second course in programming, especially those courses that include coverage of OO design and algorithms. A C++ primer is provided for students who have taken a course in another programming language or for those who need a review in C++. Finally, more advanced coverage of C++ is found in an appendix. Course Hierarchy: Course is the second course in the CS curriculum Required of CS majors Course names include Data Structures and Data Structures and Algorithms.…
Seller Inventory # LU-9780471467557
- Title
- Objects, Abstraction, Data Structures and Design
- Author
- Paul A. T. Wolfgang, Elliot B. Koffman
- Publisher
- John Wiley and Sons Inc, US
- Publication year
- 2005
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0471467553
- ISBN 13
- 9780471467557
- Item weight
- 1,314 grams
In the implementation of each data structure, the authors encourage students to perform a thorough analysis of the design approach and expected performance before actually undertaking detailed design and implementation. Students gain an understanding of why different data structures are needed, the applications they are suited for, and the advantages and disadvantages of their possible implementations.
Case studies follow a five-step process (problem specification, analysis, design, implementation, and testing) that has been adapted to object-oriented programming. Students are encouraged to think critically about the five-step process and use it in their problem solutions. Several problems have extensive discussions of testing and include methods that automate the testing process. Some cases are revisited in later chapters and new solutions are provided that use different data structures.
The text assumes a first course in programming and is designed for Data Structures or the second course in programming, especially those courses that include coverage of OO design and algorithms. A C++ primer is provided for students who have taken a course in another programming language or for those who need a review in C++. Finally, more advanced coverage of C++ is found in an appendix.
Course Hierarchy:
Course is the second course in the CS curriculum
Required of CS majors
Course names include Data Structures and Data Structures & Algorithms
"Synopsis" may belong to another edition of this title.
About the Author
Paul Wolfgang is currently Professor of Computer and Information Sciences at Temple University. He received his B.S. in electrical engineering at University of Pennsylvania.
"About the title" may belong to another edition of this title.
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