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Programming with Sets: An Introduction to SETL (Monographs in Computer Science)

Programming with Sets: An Introduction to SETL (Monographs in Computer Science)

Programming with Sets: An Introduction to SETL (Monographs in Computer Science)
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Programming with Sets: An Introduction to SETL (Monographs in Computer Science) Hardback - 1986 - 1st Edition

by Schwartz, J.T

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Details

  • Title Programming with Sets: An Introduction to SETL (Monographs in Computer Science)
  • Author Schwartz, J.T
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition Used - Good
  • Pages 493
  • Volumes 1
  • Language ENG
  • Publisher Springer, New York
  • Publication date November 1986
  • Illustrated Yes
  • Bookseller's Inventory # 0387963995.G
  • ISBN 9780387963990 / 0387963995
  • Weight 1.94 lbs (0.88 kg)
  • Category Computers - Languages / Programming
  • Library of Congress subjects SETL (Computer program language)
  • Library of Congress Catalogue Number 86020386
  • Dewey Decimal Code 005.133
  • Quantity available 1

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Reader reviews for Programming with Sets: An Introduction to SETL (Monographs in Computer Science)

From the publisher

The programming language SETL is a relatively new member of the so-called "very-high-level" class of languages, some of whose other well-known mem bers are LISP, APL, SNOBOL, and PROLOG. These languages all aim to reduce the cost of programming, recognized today as a main obstacle to future progress in the computer field, by allowing direct manipulation of large composite objects, considerably more complex than the integers, strings, etc., available in such well-known mainstream languages as PASCAL, PL/I, ALGOL, and Ada. For this purpose, LISP introduces structured lists as data objects, APL introduces vectors and matrices, and SETL introduces the objects characteristic for it, namely general finite sets and maps. The direct availability of these abstract, composite objects, and of powerful mathematical operations upon them, improves programmer speed and pro ductivity significantly, and also enhances program clarity and readability. The classroom consequence is that students, freed of some of the burden of petty programming detail, can advance their knowledge of significant algorithms and of broader strategic issues in program development more rapidly than with more conventional programming languages."
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