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Data Structures and Program Design in C / Robert L. Kruse, Clovis L. Tondo, Bruce P. Leung.

By: Contributor(s): Material type: TextTextPublication details: Upper Saddle River, N.J. : Prentice Hall, c1997.Edition: 2nd edDescription: xvi, 671 p. : ill. (some col.) ; 25 cmISBN:
  • 0135190002
Other title:
  • Data structures & program design in C [Cover title]
Subject(s): DDC classification:
  • 005.13/3 20
LOC classification:
  • QA76.73 .C15 K78 1997
Contents:
. Programming Principles. 2. Introduction to Software Engineering. 3. Stacks and Recursion. 4. Queues and Linked Lists. 5. General Lists. 6. Searching. 7. Sorting. 8. Tables and Information Retrieval. 9. Binary Trees. 10. Multiway Trees. 11. Graphs. 12. Case Study: The Polish Notation. Appendix A. Mathematical Methods. Appendix B. Removal of Recursion. Appendix C. An Introduction to C. Index.
Summary: Summary: Appropriate for Computer Science II and Data Structures in departments of Computer Science. 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 Call number Copy number Status Barcode
Books Library First Floor QA76.73 .C15 K78 1997 (Browse shelf(Opens below)) 1 Available 63

Includes bibliographical references and index.

. Programming Principles. 2. Introduction to Software Engineering. 3. Stacks and Recursion. 4. Queues and Linked Lists. 5. General Lists. 6. Searching. 7. Sorting. 8. Tables and Information Retrieval. 9. Binary Trees. 10. Multiway Trees. 11. Graphs. 12. Case Study: The Polish Notation. Appendix A. Mathematical Methods. Appendix B. Removal of Recursion. Appendix C. An Introduction to C. Index.

Summary: Appropriate for Computer Science II and Data Structures in departments of Computer Science. 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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