Data Structures and Algorithms Using C# by Michael McMillan | Hardcover | Barnes & Noble
Data Structures and Algorithms Using C#

Data Structures and Algorithms Using C#

by Michael McMillan
     
 

ISBN-10: 0521876915

ISBN-13: 9780521876919

Pub. Date: 03/26/2007

Publisher: Cambridge University Press

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

Overview

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.

Product Details

ISBN-13:
9780521876919
Publisher:
Cambridge University Press
Publication date:
03/26/2007
Edition description:
New Edition
Pages:
366
Product dimensions:
7.01(w) x 10.00(h) x 0.83(d)

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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