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Data Structures And Algorithm Analysis in C++

Data Structures And Algorithm Analysis in C++

Data Structures And Algorithm Analysis in C++
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Data Structures And Algorithm Analysis in C++ Hardback - 2006

by Weiss, Mark Allen

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Pearson College Div. hardcover. Good. 9.5X6.5X1.5. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Data Structures And Algorithm Analysis in C++
  • Author Weiss, Mark Allen
  • Binding Hardback
  • Edition INTERNATIONAL ED
  • Condition Used - Good
  • Pages 586
  • Volumes 1
  • Language ENG
  • Publisher Pearson College Div, Newmarket, On, Canada
  • Publication date 2006-03
  • Illustrated Yes
  • Bookseller's Inventory # ANAIS-032144146X
  • ISBN 9780321441461 / 032144146X
  • Weight 2.45 lbs (1.11 kg)
  • Dimensions 9.58 x 7.6 x 1.07 in (24.33 x 19.30 x 2.72 cm)
  • Size 9.5X6.5X1.5
  • Category Computers - Languages / Programming
  • Dewey Decimal Code 005.133
  • Quantity available 1

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Reader reviews for Data Structures And Algorithm Analysis in C++

From the publisher

Mark Allen Weiss' innovative approach to algorithms and data structures teaches the simultaneous development of sound analytical and programming skills for the advanced data structures course. Readers learn how to reduce time constraints and develop programs efficiently by analyzing the feasibility of an algorithm before it is coded. The C++ language is brought up-to-date and simplified, and the Standard Template Library is now fully incorporated throughout the text. This Third Edition also features significantly revised coverage of lists, stacks, queues, and trees and an entire chapter dedicated to amortized analysis and advanced data structures such as the Fibonacci heap. Known for its clear and friendly writing style, Data Structures and Algorithm Analysis in C++ is logically organized to cover advanced data structures topics from binary heaps to sorting to NP-completeness. Figures and examples illustrating successive stages of algorithms contribute to Weiss' careful, rigorous and in-depth analysis of each type of algorithm.
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