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Foundations for Programming Languages

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"Programming languages embody the pragmatics of designing software systems, and also the mathematical concepts which underlie them. Anyone who wants to know how, for example, object-oriented programming rests upon a firm foundation in logic should read this book. It guides one surefootedly through the rich variety of basic programming concepts developed over the past forty years."-- Robin Milner, Professor of Computer Science, The Computer Laboratory, Cambridge University "Programming languages need not be designed in an intellectual vacuum; John Mitchell's book provides an extensive analysis of the fundamental notions underlying programming constructs. A basic grasp of this material is essential for the understanding, comparative analysis, and design of programming languages."-- Luca Cardelli, Digital Equipment Corporation Written for advanced undergraduate and beginning graduate students, "Foundations for Programming Languages" uses a series of typed lambda calculi to study the axiomatic, operational, and denotational semantics of sequential programming languages. Later chapters are devoted to progressively more sophisticated type systems.

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First published January 1, 1996

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Displaying 1 - 2 of 2 reviews
Profile Image for Ushan.
801 reviews79 followers
December 24, 2010
This book develops several typed lambda calculus-based toy languages and describes their semantics using category theory, universal algebra, model theory and rewriting systems. I must say that Stanford undergraduates are pretty smart if they understand all this stuff.
Profile Image for Carter.
597 reviews
February 8, 2022
This book, is something, I might have found some value, in several years ago; however, I found it to be of limited interest at this point. There are some logicians mentioned here, which I don't recall, Henke for example- Kripke's modal logic work I also haven't studied. I am not sure I would recommended this, but it depends on one's interest. A lot of the mathematics is specific to development in semantic models.
Displaying 1 - 2 of 2 reviews

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