By Koopman P. (Editor), Plasmeijer R. (Editor), Doaitse Swierstra (Editor)
This instructional ebook provides seven conscientiously revised lectures given on the sixth overseas college on practical Programming, AFP 2008, in Heijen, The Netherlands in may possibly 2008.The ebook offers the next seven, conscientiously cross-reviewed chapters, written via major experts within the box: Self-adjusting: Computation with Delta ML, spider spinning for dummies, from reduction-based to reduction-free normalization, libraries for popular programming in Haskell, dependently typed programming in agda, parallel and concurrent programming in Haskell and an iTask case research: a convention administration procedure.
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Extra info for Advanced Functional Programming: 6th International School, AFP 2008, Heijen, The Netherlands, May 19-24, 2008, Revised Lectures
Note that a deterministic approach, where, for example the elements are combined in pairs, is not stable, because deleting/inserting an element can cause a large change by shifting the positions of many elements by one. Note that we do not require commutativity—associativity alone suﬃces. For randomization, we use a random hash function that returns 0 or 1 with probability 1/2. The approach requires expected linear time because each application of halfList reduces the size of the input by a factor of two (in expectation).
487–489 (1985) 53. : Maintenance of conﬁgurations in the plane. Journal of Computer and System Sciences 23, 166–204 (1981) 54. : An optimal real-time algorithm for planar convex hulls. Commun. ACM 22(7), 402–405 (1979) 55. : Incremental computation via function caching. In: Proceedings of the 16th Annual ACM Symposium on Principles of Programming Languages, pp. 315–328 (1989) 56. : Implementation of dynamic trees with in-subtree operations. ACM Journal of Experimental Algorithms 3, Article 9 (1998) 57.
The function quick-hull computes the initial split-line to be the line whose endpoints are the left-most and the right-most circles (based on their centers). Based on this split-line, it then uses split to compute convex hull in two passes. The ﬁrst pass computes the lower hull, the second pass computes the complete hull. 7 Performance Self-adjusting computation enables writing programs that can respond to modiﬁcations to their data in the style of conventional/non-incremental programs. In this section, we describe how we may analyze the running time of self-adjusting programs for both from-scratch executions and change propagation, and how we may improve the performance for change propagation.
Advanced Functional Programming: 6th International School, AFP 2008, Heijen, The Netherlands, May 19-24, 2008, Revised Lectures by Koopman P. (Editor), Plasmeijer R. (Editor), Doaitse Swierstra (Editor)