Foundations for Programming Languages
Foundations for Programming Languages

Author: John C. Mitchell

Publisher: Mit Press

Published: 1996

Total Pages: 846

ISBN-13: 9780262133210

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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.

Practical Foundations for Programming Languages
Practical Foundations for Programming Languages

Author: Robert Harper

Publisher: Cambridge University Press

Published: 2016-04-04

Total Pages: 513

ISBN-13: 1107150302

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This book unifies a broad range of programming language concepts under the framework of type systems and structural operational semantics.

Foundations of Programming Languages
Foundations of Programming Languages

Author: Kent D. Lee

Publisher: Springer

Published: 2015-01-19

Total Pages: 365

ISBN-13: 3319133144

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This clearly written textbook introduces the reader to the three styles of programming, examining object-oriented/imperative, functional, and logic programming. The focus of the text moves from highly prescriptive languages to very descriptive languages, demonstrating the many and varied ways in which we can think about programming. Designed for interactive learning both inside and outside of the classroom, each programming paradigm is highlighted through the implementation of a non-trivial programming language, demonstrating when each language may be appropriate for a given problem. Features: includes review questions and solved practice exercises, with supplementary code and support files available from an associated website; provides the foundations for understanding how the syntax of a language is formally defined by a grammar; examines assembly language programming using CoCo; introduces C++, Standard ML, and Prolog; describes the development of a type inference system for the language Small.

Programming Language Foundations
Programming Language Foundations

Author: Aaron Stump

Publisher: John Wiley & Sons

Published: 2013-09-23

Total Pages: 144

ISBN-13: 1118007476

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Programming Language Foundations is a concise text that covers a wide range of topics in the mathematical semantics of programming languages, for readers without prior advanced background in programming languages theory. The goal of the book is to provide rigorous but accessible coverage of essential topics in the theory of programming languages. Stump’s Programming Language Foundations is intended primarily for a graduate-level course in programming languages theory which is standard in graduate-level CS curricula. It may also be used in undergraduate programming theory courses but ONLY where students have a strong mathematical preparation.

Types and Programming Languages
Types and Programming Languages

Author: Benjamin C. Pierce

Publisher: MIT Press

Published: 2002-01-04

Total Pages: 656

ISBN-13: 9780262162098

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A comprehensive introduction to type systems and programming languages. A type system is a syntactic method for automatically checking the absence of certain erroneous behaviors by classifying program phrases according to the kinds of values they compute. The study of type systems—and of programming languages from a type-theoretic perspective—has important applications in software engineering, language design, high-performance compilers, and security. This text provides a comprehensive introduction both to type systems in computer science and to the basic theory of programming languages. The approach is pragmatic and operational; each new concept is motivated by programming examples and the more theoretical sections are driven by the needs of implementations. Each chapter is accompanied by numerous exercises and solutions, as well as a running implementation, available via the Web. Dependencies between chapters are explicitly identified, allowing readers to choose a variety of paths through the material. The core topics include the untyped lambda-calculus, simple type systems, type reconstruction, universal and existential polymorphism, subtyping, bounded quantification, recursive types, kinds, and type operators. Extended case studies develop a variety of approaches to modeling the features of object-oriented languages.

Concepts in Programming Languages
Concepts in Programming Languages

Author: John C. Mitchell

Publisher: Cambridge University Press

Published: 2003

Total Pages: 546

ISBN-13: 9780521780988

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A comprehensive undergraduate textbook covering both theory and practical design issues, with an emphasis on object-oriented languages.

Semantics of Programming Languages
Semantics of Programming Languages

Author: Carl A. Gunter

Publisher: MIT Press

Published: 1992

Total Pages: 450

ISBN-13: 9780262570954

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Semantics of Programming Languages exposes the basic motivations and philosophy underlying the applications of semantic techniques in computer science. It introduces the mathematical theory of programming languages with an emphasis on higher-order functions and type systems. Designed as a text for upper-level and graduate-level students, the mathematically sophisticated approach will also prove useful to professionals who want an easily referenced description of fundamental results and calculi. Basic connections between computational behavior, denotational semantics, and the equational logic of functional programs are thoroughly and rigorously developed. Topics covered include models of types, operational semantics, category theory, domain theory, fixed point (denotational). semantics, full abstraction and other semantic correspondence criteria, types and evaluation, type checking and inference, parametric polymorphism, and subtyping. All topics are treated clearly and in depth, with complete proofs for the major results and numerous exercises.

Foundations of Probabilistic Programming
Foundations of Probabilistic Programming

Author: Gilles Barthe

Publisher: Cambridge University Press

Published: 2020-12-03

Total Pages: 583

ISBN-13: 110848851X

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This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, security, and approximate computing. Comprehensive survey chapters make the material accessible to graduate students and non-experts. This title is also available as Open Access on Cambridge Core.

Foundations of Probabilistic Logic Programming
Foundations of Probabilistic Logic Programming

Author: Fabrizio Riguzzi

Publisher: CRC Press

Published: 2023-07-07

Total Pages: 548

ISBN-13: 1000923215

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Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. This book aims at providing an overview of the field with a special emphasis on languages under the Distribution Semantics, one of the most influential approaches. The book presents the main ideas for semantics, inference, and learning and highlights connections between the methods. Many examples of the book include a link to a page of the web application http://cplint.eu where the code can be run online. This 2nd edition aims at reporting the most exciting novelties in the field since the publication of the 1st edition. The semantics for hybrid programs with function symbols was placed on a sound footing. Probabilistic Answer Set Programming gained a lot of interest together with the studies on the complexity of inference. Algorithms for solving the MPE and MAP tasks are now available. Inference for hybrid programs has changed dramatically with the introduction of Weighted Model Integration. With respect to learning, the first approaches for neuro-symbolic integration have appeared together with algorithms for learning the structure for hybrid programs. Moreover, given the cost of learning PLPs, various works proposed language restrictions to speed up learning and improve its scaling.