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Types, Abstraction, and Parametric Polymorphism John C. Reynolds - PowerPoint PPT Presentation

Types, Abstraction, and Parametric Polymorphism John C. Reynolds Presented by Dietrich Geisler Abstraction Dietrich Geisler (With apologies to John C. Reynolds) What is Abstraction? 1. Define complex numbers 2. When are they equal? 1.


  1. Types, Abstraction, and Parametric Polymorphism John C. Reynolds Presented by Dietrich Geisler

  2. Abstraction Dietrich Geisler (With apologies to John C. Reynolds)

  3. What is Abstraction? 1. Define complex numbers 2. When are they equal? 1. Pairs of real numbers 2. Equality of components 1. Pairs of real numbers; first component is nonnegative 2. Equality of first component AND second component differs by multiple of 2π Professor Descartes Professor Bessel

  4. Some Context Published in 1983 Previous Papers: Intel 80286 Processor: Higher-level languages: Recursive Functions (1960) 10 MHz clock rate Scheme 1973 Axiomatic Basis (1969) No memory cache ML 1975 CBN and CBV (1975) C++ 1980

  5. Sets and Types If e 1 has type ω→ω’ and e 2 has type ω Then the result of applying e 1 to e 2 has type ω’

  6. Some Notation Extension to constants, pairs, and functions e.g. S # (ω x ω’) = S # ω x S # ω’ S # * Set Assignment Extension to a context (e.g. S( 𝜐 ) = { 0 , 1, 2 }) (Works pointwise over the map)

  7. Some Semantics

  8. Semantics of Pairs

  9. How to compare set assignments? Sets are related using pairs of set elements under Rel (s 1 , s 2 ) Functions and pairs are related if each component is related R is the pointwise relation between two set interpretations of types S 1 , S 2

  10. What is an Abstraction? (Formally) Evaluating expressions maps related arguments to related results

  11. Extending this to a Typing Theorem

  12. What Happened to this work? Some was folded into System F Rust is starting to use some relational proofs Ideas behind free theorems (e.g. properties λf : α→α?)

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