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The Parametric Lambda Calculus: A Metamodel for Computation (Texts in Theoretical Computer Science. An EATCS Series) Hardback - 2004
by Ronchi Della Rocca, Simona
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Details
- Title The Parametric Lambda Calculus: A Metamodel for Computation (Texts in Theoretical Computer Science. An EATCS Series)
- Author Ronchi Della Rocca, Simona
- Binding Hardback
- Edition 2004
- Condition Used: Good
- Pages 248
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 2004-07-05
- Features Bibliography, Index
- Bookseller's Inventory # SONG3540200320
- ISBN 9783540200321 / 3540200320
- Weight 1.24 lbs (0.56 kg)
- Dimensions 9.21 x 6.14 x 0.69 in (23.39 x 15.60 x 1.75 cm)
- Size 6.25x0.75x9.25
- Category Computers - General Information
- Library of Congress Catalogue Number 2003069100
- Dewey Decimal Code 511.35
- Quantity available 1
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From the publisher
First line
Sometimes, we will refer to -terms simply as terms.
From the rear cover
The parametric lambda calculus is a metamodel for reasoning about various kinds of computations. Its syntactic definition is based on the notion of "sets of input values", and different lambda calculi can be obtained from it by instantiating such sets in suitable ways.
The parametric lambda calculus is used as a tool for presenting in a uniform way basic notions of programming languages, and for studying with a uniform approach some lambda calculi modeling different kinds of computations, such as call-by-name, both in its lazy and non-lazy versions, and call-by-value. The parametric presentation allows us both to prove in one step all the fundamental properties of different calculi, and to compare them with each other.
The book includes some classical results in the field of lambda calculi, but completely rephrased using the parametric approach, together with some new results. The lambda calculi are presented from a computer science viewpoint, with particular emphasis on their semantics, both operational and denotational.
This book is dedicated to researchers, and can be used as a textbook for masters or Ph.D. courses on the foundations of computer science.
