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Data Structures and Algorithms Using C#

Data Structures and Algorithms Using C#

Data Structures and Algorithms Using C#

Michael McMillan, Pulaski Technical College, Arkansas
April 2007
Hardback
9780521876919

    C# programmers: no more translating data structures from C++ or Java to use in your programs! Mike McMillan provides a tutorial on how to use data structures and algorithms plus the first comprehensive reference for C# implementation of data structures and algorithms found in the .NET Framework library, as well as those developed by the programmer. The approach is very practical, using timing tests rather than Big O notation to analyze the efficiency of an approach. Coverage includes arrays and array lists, linked lists, hash tables, dictionaries, trees, graphs, and sorting and searching algorithms, as well as more advanced algorithms such as probabilistic algorithms and dynamic programming. This is the perfect resource for C# professionals and students alike.

    • Was the first C# book on implementing data structures and algorithms from the .NET framework
    • Includes basic data structures and algorithms plus advanced algorithms such as probabilistic algorithms and dynamics programming
    • Features an approach to efficiency analysis that's useful for the working programmer

    Product details

    April 2007
    Hardback
    9780521876919
    366 pages
    242 × 185 × 24 mm
    0.736kg
    11 tables 67 exercises
    Available

    Table of Contents

    • Preliminaries
    • 1. Collections
    • 2. Arrays and arraylists
    • 3. Basic sorting algorithms
    • 4. Basic searching algorithms
    • 5. Stacks and queues
    • 6. The bitarray class
    • 7. Strings, the string class and the stringbuilder class
    • 8. Pattern matching and text processing
    • 9. Building dictionaries - the dictionarybase class and the sortedlist class
    • 10. Hashing and the hashtable class
    • 11. Linked lists
    • 12. Binary trees and binary search trees
    • 13. Sets
    • 14. Advanced sorting algorithms
    • 15. Advanced data structures and algorithms for searching
    • 16. Graphs and graph algorithms
    • 17. Advanced algorithms.
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