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An Introduction to the Analysis of Algorithms

An Introduction to the Analysis of Algorithms

An Introduction to the Analysis of Algorithms
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An Introduction to the Analysis of Algorithms Hardback - 2009

by Michael Soltys-Kulinicz

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New/New. Brand New Original US Edition, Perfect Condition. Printed in English. Excellent Quality, Service and customer satisfaction guaranteed!
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Details

  • Title An Introduction to the Analysis of Algorithms
  • Author Michael Soltys-Kulinicz
  • Binding Hardback
  • Condition New
  • Pages 152
  • Volumes 1
  • Language ENG
  • Publisher World Scientific Publishing Company
  • Publication date 2009-11-01
  • Features Bibliography, Index, Table of Contents
  • Bookseller's Inventory # BIBNNA-112580
  • ISBN 9789814271400 / 9814271403
  • Weight 0.9 lbs (0.41 kg)
  • Dimensions 9 x 6.1 x 0.7 in (22.86 x 15.49 x 1.78 cm)
  • Category Mathematics
  • Library of Congress Catalogue Number 2010278418
  • Dewey Decimal Code 519.4
  • Quantity available 1

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Reader reviews for An Introduction to the Analysis of Algorithms

From the publisher

This textbook covers the mathematical foundations of the analysis of algorithms. The gist of the book is how to argue, without the burden of excessive formalism, that a given algorithm does what it is supposed to do. The two key ideas of the proof of correctness, induction and invariance, are employed in the framework of pre/post-conditions and loop invariants.The algorithms considered are the basic and traditional algorithms of computer science, such as Greedy, Dynamic and Divide & Conquer. In addition, two classes of algorithms that rarely make it into introductory textbooks are discussed. Randomized algorithms, which are now ubiquitous because of their applications to cryptography; and Online algorithms, which are essential in fields as diverse as operating systems (caching, in particular) and stock-market predictions.This self-contained book is intended for undergraduate students in computer science and mathematics.

From the jacket flap

This textbook covers the mathematical foundations of the analysis of algorithms. The gist of the book is how to argue, without the burden of excessive formalism, that a given algorithm does what it is supposed to do. The two key ideas of the proof of correctness, induction and invariance, are employed in the framework of pre/post-conditions and loop invariants.

The algorithms considered are the basic and traditional algorithms of computer science, such as Greedy, Dynamic and Divide & Conquer. In addition, two classes of algorithms that rarely make it into introductory textbooks are discussed. Randomized algorithms, which are now ubiquitous because of their applications to cryptography; and Online algorithms, which are essential in fields as diverse as operating systems (caching, in particular) and stock-market predictions.

This self-contained book is intended for undergraduate students in computer science and mathematics.

Media reviews

Citations

  • Reference and Research Bk News, 02/01/2011, Page 242
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