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Introduction to the design & analysis of algorithms / Anany Levitin.

By: Contributor(s): Material type: TextTextPublication details: Boston : Pearson, c2012.Edition: 3rd edDescription: 588 p. : ill. ; 23 cmISBN:
  • 978-0273764113
Other title:
  • Introduction to the design and analysis of algorithms
Subject(s): DDC classification:
  • 005.1
Online resources: Summary: Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal treatment while thoroughly covering the material required in an introductory algorithms course. Popular puzzles are used to motivate students' interest and strengthen their skills in algorithmic problem solving. Other learning-enhancement features include chapter summaries, hints to the exercises, and a detailed solution manual.
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Holdings
Item type Current library Call number Status Notes Date due Barcode
REGULAR University of Wollongong in Dubai Main Collection 005.1 LE IN (Browse shelf(Opens below)) Available T0050027
CRS University of Wollongong in Dubai Closed Reserve 005.1 LE IN (Browse shelf(Opens below)) Checked out Ebook Available 23/02/2022 18:26 T0050028
3 DAY LOAN University of Wollongong in Dubai Main Collection 005.1 LE IN (Browse shelf(Opens below)) Pending hold T0042430

Includes bibliographical references and index.

Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal treatment while thoroughly covering the material required in an introductory algorithms course. Popular puzzles are used to motivate students' interest and strengthen their skills in algorithmic problem solving. Other learning-enhancement features include chapter summaries, hints to the exercises, and a detailed solution manual.

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