Data Structures and Algorithms Using C#

Nonfiction, Computers, General Computing, Programming
Cover of the book Data Structures and Algorithms Using C# by Michael McMillan, Cambridge University Press
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Author: Michael McMillan ISBN: 9781139814201
Publisher: Cambridge University Press Publication: March 26, 2007
Imprint: Cambridge University Press Language: English
Author: Michael McMillan
ISBN: 9781139814201
Publisher: Cambridge University Press
Publication: March 26, 2007
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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