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

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

This instructional booklet provides seven rigorously revised lectures given on the sixth foreign institution on practical Programming, AFP 2008, in Heijen, The Netherlands in may possibly 2008.

The booklet provides the next seven, rigorously cross-reviewed chapters, written through prime experts within the box: Self-adjusting: Computation with Delta ML, spider spinning for dummies, from reduction-based to reduction-free normalization, libraries for widely used programming in Haskell, dependently typed programming in agda, parallel and concurrent programming in Haskell and an iTask case examine: a convention administration system.

Show description

Read or Download Advanced Functional Programming: 6th International School, AFP 2008, Heijen, The Netherlands, May 2008, Revised Lectures PDF

Similar programming books

Concurrent Programming on Windows

Writer Joe Duffy has risen to the problem of explaining how one can write software program that takes complete benefit of concurrency and parallelism. In Concurrent Programming on home windows, he explains the right way to layout, enforce, and keep large-scale concurrent courses, basically utilizing C# and C++ for home windows.

Developing with PDF: Dive Into the Portable Document Format

PDF is turning into the traditional for electronic files world wide, yet it's hard to profit by yourself. With features that allow you to use a number of photos and textual content, embed audio and video, and supply hyperlinks and navigation, there's much to discover. This useful advisor is helping you know the way to paintings with PDF to build your personal files, troubleshoot difficulties, or even construct your individual instruments.

Learn Objective-C on the Mac: For iOS and OS X (2nd Edition)

Discover ways to write apps for a few of today's most well-liked applied sciences, together with the iPhone and iPad (using iOS), in addition to the Mac (using OS X). It begins with Objective-C, the bottom language on which the local iOS software program improvement equipment (SDK) and the OS X are dependent. research Objective-C at the Mac: For OS X and iOS, moment variation updates a top promoting booklet and is an in depth, newly up to date consultant to Objective-C.

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

Sample text

Such an algorithm is said to be loopless. Our aim in these lectures is to show how to calculate a loopless algorithm for spider spinning. The calculation makes use of the fundamental laws of functional programming and the real purpose of the exercise is to show these laws in action. 1 Introduction Consider the problem of generating all bit strings a1 a2 . . an of length n satisfying given constraints of the form ai ≤ aj for various i and j . The generation is to be in Gray path order, meaning that exactly one bit changes from one bit string to the next.

There is a program, SPIDERS, on Knuth’s web site [4] that does perform loopless spider spinning. It is quite complicated, as Knuth readily admits: “But I apologize at the outset that the algorithm seems to be rather subtle, and I have not been able to think of any way to explain it to dummies”. Hence our title. Our aim in these lectures is to calculate a loopless algorithm for spider spinning. I have no idea if my algorithm bears any relationship to Knuth’s 1 By an ideal of a poset S is meant a subset I of S such that if x ∈ I and x ≤ y, then y ∈ I.

Geom. Theory Appl. 38(1-2), 111–127 (2007) 61. : Functional incremental attribute evaluation. A. ) CC 2000. LNCS, vol. 1781, pp. 279–294. Springer, Heidelberg (2000) 62. : DITTO: Automatic Incrementalization of Data Structure Invariant Checks (in Java). In: Proceedings of the ACM SIGPLAN 2007 Conference on Programming language Design and Implementation (2007) 63. : A data structure for dynamic trees. Journal of Computer and System Sciences 26(3), 362–391 (1983) 64. : Self-adjusting binary search trees.

Download PDF sample

Rated 4.15 of 5 – based on 41 votes