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Practical Foundations for Programming Languages

Practical Foundations for Programming Languages

Practical Foundations for Programming Languages

Robert Harper, Carnegie Mellon University, Pennsylvania
February 2013
Adobe eBook Reader
9781107302853
$89.99
USD
Adobe eBook Reader

    Types are the central organizing principle of the theory of programming languages. In this innovative book, Professor Robert Harper offers a fresh perspective on the fundamentals of these languages through the use of type theory. Whereas most textbooks on the subject emphasize taxonomy, Harper instead emphasizes genetics, examining the building blocks from which all programming languages are constructed. Language features are manifestations of type structure. The syntax of a language is governed by the constructs that define its types, and its semantics is determined by the interactions among those constructs. The soundness of a language design – the absence of ill-defined programs – follows naturally. Professor Harper's presentation is simultaneously rigorous and intuitive, relying on elementary mathematics. The framework he outlines scales easily to a rich variety of language concepts and is directly applicable to their implementation. The result is a lucid introduction to programming theory that is both accessible and practical.

    • New perspective on programming theory stressing genetics rather than taxonomy
    • In-depth coverage requires only elementary mathematics
    • Extensible theoretical framework has immediate practical applications

    Product details

    February 2013
    Adobe eBook Reader
    9781107302853
    0 pages
    0kg
    This ISBN is for an eBook version which is distributed on our behalf by a third party.

    Table of Contents

    • Part I. Judgments and Rules:
    • 1. Inductive definitions
    • 2. Hypothetical judgments
    • 3. Syntactic objects
    • 4. Generic judgments
    • Part II. Levels of Syntax:
    • 5. Concrete syntax
    • 6. Abstract syntax
    • Part III. Statics and Dynamics:
    • 7. Statics
    • 8. Dynamics
    • 9. Type safety
    • 10. Evaluation dynamics
    • Part IV. Function Types:
    • 11. Function definitions and values
    • 12. Godel's system T
    • 13. Plotkin's PCF
    • Part V. Finite Data Types:
    • 14. Product types
    • 15. Sum patterns
    • 16. Pattern matching
    • 17. Generic programming
    • Part VI. Infinite Data Types:
    • 18. Inductive and co-inductive types
    • 19. Recursive types
    • Part VII. Dynamic Types:
    • 20. The untyped 1-calculus
    • 21. Dynamic typing
    • 22. Hybrid typing
    • Part VIII. Variable Types:
    • 23. Girard's system F
    • 24. Abstract types
    • 25. Constructors and kinds
    • 26. Indexed families of types
    • Part IX. Subtyping:
    • 27. Subtyping
    • 28. Singleton and dependent kinds
    • Part X. Classes and Methods:
    • 29. Dynamic dispatch
    • 30. Inheritance
    • Part XI. Control Effects:
    • 31. Control stacks
    • 32. Exceptions
    • 33. Continuations
    • Part XII. Types and Propositions:
    • 34. Constructive logic
    • 35. Classical logic
    • Part XIII. Symbols:
    • 36. Symbols
    • 37. Fluid binding
    • 38. Dynamic classification
    • Part XIV. Storage Effects:
    • 39. Modernized algol
    • 40. Mutable data structures
    • Part XV. Laziness:
    • 41. Lazy evaluation
    • 42. Polarization
    • Part XVI. Parallelism:
    • 43. Nested parallelism
    • 44. Futures and speculation
    • Part XVII. Concurrency:
    • 45. Process calculus
    • 46. Current algol
    • 47. Distributed algol
    • Part XVIII. Modularity:
    • 48. Separate compilation and linking
    • 49. Basic modules
    • 50. Parameterized modules
    • Part XIX. Equivalence:
    • 51. Equational reasoning for T
    • 52. Equational reasoning for PCF
    • 53. Parametricity.