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Logic in Computer Science : Modelling and Reasoning about Systems

Logic in Computer Science : Modelling and Reasoning about Systems

Logic in Computer Science : Modelling and Reasoning about Systems
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Logic in Computer Science : Modelling and Reasoning about Systems Paperback - 1999

by Huth, Michael, Ryan, Mark

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Cambridge University Press. Used - Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Details

  • Title Logic in Computer Science : Modelling and Reasoning about Systems
  • Author Huth, Michael, Ryan, Mark
  • Binding Paperback
  • Edition Second Printing
  • Condition Used - Good
  • Pages 405
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date November 1, 1999
  • Bookseller's Inventory # GRP10007068
  • ISBN 9780521656023 / 0521656028
  • Weight 1.56 lbs (0.71 kg)
  • Dimensions 11 x 8.14 x 2.07 in (27.94 x 20.68 x 5.26 cm)
  • Category Computers - General Information
  • Library of Congress subjects Computer logic
  • Library of Congress Catalogue Number 99015233
  • Dewey Decimal Code NA
  • Quantity available 2

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Reader reviews for Logic in Computer Science : Modelling and Reasoning about Systems

From the publisher

Recent years have seen the development of powerful tools for verifying hardware and software systems, and increasing interest in that technology from major companies. Students need a basic formal training which allows them to gain sufficient proficiency in using logic-based verification methods. This book addresses these needs by providing a sound basis in logic, and an introduction to the logical frameworks used in modelling, specifying and verifying computer systems. It provides a simple and clear presentation, covering propositional and predicate logic, and some specialised logics used for reasoning about the correctness of computer systems. The authors introduce a carefully chosen core of essential terminology: further technicalities are introduced only when necessary. Numerous examples are given, as well as a full exposition of a fast-growing technique for modelling and verifying computer systems, known as symbolic model checking. Numerous examples are given, and web support is available from http: www.cs.bham.ac.uk/research/lics.
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