Practical Foundations for Programming Languages
2nd Edition
$83.99 ( ) USD
- Author: Robert Harper, Carnegie Mellon University, Pennsylvania
- Date Published: April 2016
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
- format: Adobe eBook Reader
- isbn: 9781316655733
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This text develops a comprehensive theory of programming languages based on type systems and structural operational semantics. Language concepts are precisely defined by their static and dynamic semantics, presenting the essential tools both intuitively and rigorously while relying on only elementary mathematics. These tools are used to analyze and prove properties of languages and provide the framework for combining and comparing language features. The broad range of concepts includes fundamental data types such as sums and products, polymorphic and abstract types, dynamic typing, dynamic dispatch, subtyping and refinement types, symbols and dynamic classification, parallelism and cost semantics, and concurrency and distribution. The methods are directly applicable to language implementation, to the development of logics for reasoning about programs, and to the formal verification language properties such as type safety. This thoroughly revised second edition includes exercises at the end of nearly every chapter and a new chapter on type refinements.
Read more- Develops the fundamental tools of type systems and operational semantics
- Covers a broad range of language concepts in a single unifying framework
- Provides a body of enduring principles on which all future work on language design may be based
Reviews & endorsements
Review of previous edition:
"Harper's book provides a comprehensive treatment of the foundations of computation. He touches on a surprising range of concepts that arise in language design: from simple types to polymorphism to dependent types to modules; from strict to lazy to parallel computation; and from proof techniques for reasoning about extensional behavior to practical, compositional cost models in the presence of garbage collection. More importantly, throughout the book he uses types and the principles of type theory to organize the material and help us discover the orthogonal, composable abstractions that arise naturally not only in the design of programming languages but also in logics and mathematics. This approach helps uncover the fundamental structure lurking inside programming languages of today, and provides a principled approach to the designs for tomorrow."
Greg Morrisett, Cornell University, New YorkSee more reviewsReview of previous edition:
"Starting with a mathematically simple framework and organizing principles that give type systems a central role, Bob Harper's magnum opus reveals the theory of programming languages as a coherent scientific subject with both breadth and elegance. His enormous experience, pithy views, and great good taste are evident throughout a book that deserves to become a classic."
Andrew Pitts, University of CambridgeReview of previous edition:
"This book offers an excellent introduction to a wide range of programming language concepts. They are all uniformly and carefully explained, using techniques that are very useful in practice for both analysis and implementation of programming languages. The book is authored by one of the most prominent researchers in type theory for programming languages. The presentation is very effective and based on the author's years of experience teaching the material."
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×Product details
- Edition: 2nd Edition
- Date Published: April 2016
- format: Adobe eBook Reader
- isbn: 9781316655733
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
1. Judgment and rules
2. Statics and dynamics
3. Total functions
4. Finite data types
5. Types and propositions
6. Infinite data types
7. Variable types
8. Partiality and recursive types
9. Dynamic types
10. Subtyping
11. Dynamic dispatch
12. Control flow
13. Symbolic data
14. Mutable state
15. Parallelism
16. Concurrency and distribution
17. Modularity
18. Equational reasoning
19. Appendices.
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