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Download Advanced Functional Programming: 6th International School, by Koopman P. (Editor), Plasmeijer R. (Editor), Doaitse PDF

By Koopman P. (Editor), Plasmeijer R. (Editor), Doaitse Swierstra (Editor)

This instructional ebook provides seven conscientiously revised lectures given on the sixth overseas university on useful Programming, AFP 2008, in Heijen, The Netherlands in could 2008.The booklet offers the subsequent seven, rigorously cross-reviewed chapters, written by means of prime experts within the box: Self-adjusting: Computation with Delta ML, spider spinning for dummies, from reduction-based to reduction-free normalization, libraries for wide-spread 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

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2 31 Self-adjusting Computation Foundations. The first work on self-adjusting computation [5], called Adaptive Functional Programming (AFP), generalized dependence-graph approaches by introducing dynamic dependence graphs (DDGs), by providing a change propagation algorithm for DDGs, and by offering a technique for constructing DDGs from program executions. Change propagation with DDGs is able to update the dependence structure of the DDG by inserting and deleting dependences as necessary. This makes it possible to apply the approach to any purely functional program.

In: Uncertainty in Artificial Intelligence, UAI (2008) 15. : Algorithmic issues in modeling motion. ACM Comput. Surv. 34(4), 550–572 (2002) 16. : Kinetic and dynamic data structures for convex hulls and upper envelopes. -R. ) WADS 2005. LNCS, vol. 3608, pp. 269–281. Springer, Heidelberg (2005) 17. : Minimizing diameters of dynamic trees. In: Automata, Languages and Programming, pp. 270–280 (1997) 18. : Maintaining information in fully-dynamic trees with top trees. DS/0310065) 19. : Data structures for mobile data.

Hoover generalized the approach outside the domain of attribute grammars [45]. Yellin and Strom used the dependence graph ideas within the INC language [69], and extended it by having incremental computations within each of its array primitives. , syntax-directed computations. But they are not general-purpose, because they do not permit the changepropagation algorithm to update the dependence structure. For example, the INC language [69], which uses static dependence graphs for incremental updates, does not permit recursion.

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