Types and Programming Languages (MIT Press)

By Benjamin C. Pierce

A variety process is a syntactic strategy for immediately checking the absence of convinced faulty behaviors by means of classifying software words in keeping with the types of values they compute. The learn of kind structures -- and of programming languages from a type-theoretic point of view -- has very important purposes in software program engineering, language layout, high-performance compilers, and security.

This textual content presents a complete advent either to sort structures in desktop technological know-how and to the fundamental conception of programming languages. The process is pragmatic and operational; every one new inspiration is prompted through programming examples and the extra theoretical sections are pushed via the desires of implementations. each one bankruptcy is followed via quite a few workouts and strategies, in addition to a operating implementation, on hand through the internet. Dependencies among chapters are explicitly pointed out, permitting readers to decide on a number of paths in the course of the material.

The middle issues comprise the untyped lambda-calculus, easy kind platforms, style reconstruction, common and existential polymorphism, subtyping, bounded quantification, recursive forms, varieties, and sort operators. prolonged case stories advance a number of ways to modeling the good points of object-oriented languages.

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Believe that Sj ⊆ S for all j < i; we needs to exhibit that Si ⊆ S . because the definition of Si has clauses (for i = zero and that i > 0), there are circumstances to think about. If i = zero, then Si = ∅; yet ∅ ⊆ S trivially. in a different way, i = j + 1 for a few j. permit t be a few part of S j+1 . considering Sj+1 is defined because the union of 3 smaller units, t needs to come from this sort of units; there are 3 probabilities to think about. (1) If t is a continuing, then t ∈ S by way of situation 1. (2) If t has the shape succ t1 , pred t1 , or iszero t1 , for a few t1 ∈ Sj , then, through the induction speculation, t1 ∈ S , and so, by way of situation (2), t ∈ S . (3) If t has the shape if t1 then t2 else t3 , for a few t1 , t2 , t3 ∈ Si , even so, via the induction speculation, t1 , t2 , and t3 are all in S , and, via three, so is t. therefore, we've proven that every Si ⊆ S . by way of the definition of S because the union of all of the Si , this offers S ⊆ S , finishing the argument. it's worthy noting that this facts is going by means of whole induction at the ordinary numbers, no longer the extra popular “base case / induction case” shape. for every i, we think that the specified predicate holds for all numbers strictly under i and end up that it then holds for i in addition. In essence, each step this is an induction step; the one factor that's detailed in regards to the case the place i = zero is that the set of smaller values of i, for which we will be able to invoke the induction speculation, occurs to be empty. an analogous comment will follow to such a lot induction 3. three 29 Induction on phrases proofs we are going to see through the book—particularly proofs via “structural induction. ” three. three Induction on phrases the specific characterization of the set of phrases T in Proposition three. 2. 6 justifies an enormous precept for reasoning approximately its components. If t ∈ T , then considered one of 3 issues needs to be real approximately t: (1) t is a continuing, or (2) t has the shape succ t1 , pred t1 , or iszero t1 for a few smaller time period t 1 , or (3) t has the shape if t1 then t2 else t3 for a few smaller phrases t 1 , t2 , and t3 . we will be able to placed this statement to paintings in methods: we will be able to supply inductive definitions of features over the set of phrases, and we will be able to supply inductive proofs of homes of phrases. for instance, here's a basic inductive definition of a functionality mapping each one time period t to the set of constants utilized in t. three. three. 1 Definition: The set of constants showing in a time period t, written Consts(t), is defined as follows: Consts(true) Consts(false) Consts(0) Consts(succ t1 ) Consts(pred t1 ) Consts(iszero t1 ) Consts(if t1 then t2 else t3 ) = = = = = = = {true} {false} {0} Consts(t1 ) Consts(t1 ) Consts(t1 ) Consts(t1 ) ∪ Consts(t2 ) ∪ Consts(t3 ) one other estate of phrases that may be calculated via an inductive definition is their dimension. three. three. 2 Definition: the dimensions of a time period t, written size(t), is defined as follows: size(true) size(false) size(0) size(succ t1 ) size(pred t1 ) size(iszero t1 ) size(if t1 then t2 else t3 ) = = = = = = = 1 1 1 size(t1 ) + 1 size(t1 ) + 1 size(t1 ) + 1 size(t1 ) + size(t2 ) + size(t3 ) + 1 that's, the dimensions of t is the variety of nodes in its summary syntax tree.

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