Data Structures and Algorithms Using C#
£83.99
- Author: Michael McMillan, Pulaski Technical College, Arkansas
- Date Published: April 2007
- availability: Available
- format: Hardback
- isbn: 9780521876919
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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.
Read more- 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
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×Product details
- Date Published: April 2007
- format: Hardback
- isbn: 9780521876919
- length: 366 pages
- dimensions: 242 x 185 x 24 mm
- weight: 0.736kg
- contains: 11 tables 67 exercises
- availability: 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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