Download Advanced Functional Programming: 6th International School, by Umut A. Acar, Ruy Ley-Wild (auth.), Pieter Koopman, Rinus PDF

By Umut A. Acar, Ruy Ley-Wild (auth.), Pieter Koopman, Rinus Plasmeijer, Doaitse Swierstra (eds.)

This instructional e-book provides seven conscientiously revised lectures given on the sixth overseas tuition on practical Programming, AFP 2008, in Heijen, The Netherlands in may perhaps 2008.

The publication provides the next seven, conscientiously cross-reviewed chapters, written by way of major gurus within the box: Self-adjusting: Computation with Delta ML, spider spinning for dummies, from reduction-based to reduction-free normalization, libraries for frequent programming in Haskell, dependently typed programming in agda, parallel and concurrent programming in Haskell and an iTask case examine: a convention administration system.

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Additional resources for Advanced Functional Programming: 6th International School, AFP 2008, Heijen, The Netherlands, May 2008, Revised Lectures

Sample text

Acar and R. Ley-Wild fun reduce mkRandSplit f base = afn l => let afun halfList l = let val putM = mkPut $ () val randSplit = mkRandSplit () afun redRun (v,l) = case get $ l of NIL => (v, l) | CONS (h, t) => if randSplit h then (f (v,h), t) else redRun $ (f(v,h), t) mfun half l = case get $ l of NIL => NIL | CONS (h, t) => let val (v, tt) = redRun $ (h,t) val ttt = half $ tt in CONS(v, putM $ (SOME h, ttt)) end in putM $ (NONE, half $ l) end mfun mreduce l = let val putM = mkPut $ () if get $ ((lengthLessThan 2) $ l) then case get $ l of NIL => base | CONS(h, ) => h else mreduce $ (halfList $ l) in putM $ (NONE, mreduce $ l) end Fig.

Cornell University (May 1987) 46. : On maintaining the width and diameter of a planar point-set online. T. ) ISA 1991. LNCS, vol. 557, pp. 137–149. Springer, Heidelberg (1991) 47. : A cost semantics for self-adjusting computation. In: Proceedings of the 26th Annual ACM Symposium on Principles of Programming Languages (2009) 48. : Compiling self-adjusting programs with continuations. In: Proceedings of the International Conference on Functional Programming (2008) 49. : Static Caching for Incremental Computation.

As with conventional lists, we can write various primitive list functions. Here we describe how to implement three functions on lists: lengthLessThan, map, and reduce. Omitting the self-adjusting primitives, the first two functions are nearly identical to their conventional counterparts and therefore have comparable asymptotic complexity; the complexity of reduce is discussed below. In our implementation, we observe the following convention. Each list function creates a putter and defines a locally-scoped work function to perform the actual work.

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