Data Structures and the Standard Template Library / William J. Collins.
Material type: TextPublication details: Boston : McGraw-Hill, 2003.Edition: 1st edDescription: xx, 664 p. : ill. ; 24 cmISBN:- 0072369655
- QA76.9.D35 C65 2003
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QA76.9.D343 .T35 2006 Introduction to data mining / | QA76.9.D35 A38 1999 Data Structures and Algorithms / | QA76.9.D35 A38 1999 Data Structures and Algorithms / | QA76.9.D35 C65 2003 Data Structures and the Standard Template Library / | QA76.9.D35 C65 2003 Data Structures and the Standard Template Library / | QA76.9.D35 K58 2005 Objects, Abstraction, Data Structures, and Design Using Java, Version 5.0 / | QA76.9.D35 S45 1997 A Practical Introduction to Data Structures and Algorithm Analysis / |
Includes bibliographical references (p. 651-652) and index.
1 Classes in C++ 2 Storage Structures for Container Classes 3 Introduction to Software Engineering 4 Recursion 5 Vectors and Deques 6 Lists 7 Queues and Stacks 8 Binary Trees and Binary Search Trees 9 AVL Trees 10 Red-Black Trees 11 Priority Queues and Heaps 12 Sorting 13 Searching and the Hash Classes 14 Graphs, Trees, and Networks Appendix 1 Mathematical Background Appendix 2 The string Class Appendix 3 Polymorphism
Data Structures and the Standard Template Library by William Collins teaches the fundamentals of Data Structures and their implementations. It uses C++ as the language of instruction. Most of the data structures are provided in the Standard Template Library (STL), which students will be able to use in their further coursework and beyond. To further students' understanding of implementation issues, alternative implementation (other than the STL) are also discussed. Hands-on learning is promoted throughout the text by the use of Programming Projects and labs. Programming projects, at the end of each chapter, allow students to develop and implement their own data structures or to extend or apply data structures introduced in the chapter. Additionally, optional labs accompany the text and allow students to practice by giving them opportunities to code. These labs can be used in many different ways such as in a closed lab, in an open lab, or for optional homework assignments.
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