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Data Structures and Algorithms Using C#

Data Structures and Algorithms Using C#

Data Structures and Algorithms Using C#
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Data Structures and Algorithms Using C# Paperback - 2007

by McMillan, Michael

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  • Used
  • very good
  • Paperback
Used - Very good

Description

Cambridge University Press, 2007-04-26. Paperback. Very Good. 8x7x0. Very good paperback copy, from a personal collection (NOT ex-library). A reprint copy (maybe a print-on-demand?). Remainder mark on bottom edge. Spine is uncreased, binding tight and sturdy; text also very good. Exterior looks nice. Ships from Dinkytown in Minneapolis, Minnesota. Due to the size/weight of this book extra charges may apply for international shipping.
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Ships from The Book House in Dinkytown (Minnesota, United States)

Details

  • Title Data Structures and Algorithms Using C#
  • Author McMillan, Michael
  • Binding Paperback
  • Edition INTERNATIONAL ED
  • Condition Used - Very good
  • Pages 368
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2007-04-26
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # 291181
  • ISBN 9780521670159 / 0521670152
  • Weight 1.45 lbs (0.66 kg)
  • Dimensions 9.2 x 7.5 x 0.9 in (23.37 x 19.05 x 2.29 cm)
  • Size 8x7x0
  • Category Computers - Languages / Programming
  • Library of Congress subjects C (Computer program language)
  • Library of Congress Catalogue Number 2006024382
  • Dewey Decimal Code 005.276
  • Quantity available 1
  • Bookseller catalogues Computers/Electronics

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Reader reviews for Data Structures and Algorithms Using C#

From the publisher

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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