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Data Structures and Program Design in C++ / Robert L. Kruse, Alexander J. Ryba.

By: Contributor(s): Material type: TextTextPublication details: Upper Saddle River, N.J. : Prentice Hall, c1999.Description: xvii, 717 p. : ill. (some col.) ; 25 cmISBN:
  • 0137689950
Subject(s): LOC classification:
  • QA76.73.C153 K79 1999
Contents:
1. Programming Principles. 2. Introduction to Stacks. 3. Queues. 4. Linked Stacked and Queues. 5. Recursion. 6. Lists and Strings. 7. Searching. 8. Sorting. 9. Tables and Information Retrieval. 10. Binary Trees. 11. Multiway Trees. 12. Graphs. 13. Case Study: The Polish Notation. Appendix A: Mathematical Methods. Appendix B: Random Numbers. Appendix C: Packages and Utility Functions. Appendix D: Programming Precepts, Pointers, and Pitfalls. Index.
Summary: Appropriate for Computer Science II and Data Structures courses using C++. Progressing from the concrete to the abstract-and using numerous, substantial case studies and sample programs-this text explores structured problem solving, data abstraction, software engineering principles, and the comparative analysis of algorithms as fundamental tools of program design
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Item type Current library Copy number Status Barcode
Books Library First Floor 1 Available 3292
Books Library First Floor 2 Available 3291

Includes bibliographical references and index.

1. Programming Principles. 2. Introduction to Stacks. 3. Queues. 4. Linked Stacked and Queues. 5. Recursion. 6. Lists and Strings. 7. Searching. 8. Sorting. 9. Tables and Information Retrieval. 10. Binary Trees. 11. Multiway Trees. 12. Graphs. 13. Case Study: The Polish Notation. Appendix A: Mathematical Methods. Appendix B: Random Numbers. Appendix C: Packages and Utility Functions. Appendix D: Programming Precepts, Pointers, and Pitfalls. Index.

Appropriate for Computer Science II and Data Structures courses using C++. Progressing from the concrete to the abstract-and using numerous, substantial case studies and sample programs-this text explores structured problem solving, data abstraction, software engineering principles, and the comparative analysis of algorithms as fundamental tools of program design

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