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Titlebook: Algorithms and Data Structures; 14th International S Frank Dehne,Jörg-Rüdiger Sack,Ulrike Stege Conference proceedings 2015 Springer Intern

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Der Patient als Kunde und Konsumentving this claim. We further prove that it is possible to use group size 3 or 4 while maintaining the worst case linear running time. To this end we introduce two simple variants of the classical algorithm, the repeated step algorithm and the shifting target algorithm, both running in linear time.
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Martin W. Schnell M.A.,Harald Kolbe MScNmation algorithm and a more intricate .-approximation algorithm to compute the nearest neighbor metric. Both approximation algorithms work in near-linear time. The former uses shortest paths on a sparse graph defined over the input points. The latter uses a sparse sample of the ambient space, to find good approximate geodesic paths.
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0302-9743 nal research on algorithms and data structures in all areas, including bioinformatics, combinatorics, computational geometry, databases, graphics, and parallel and distributed computing.978-3-319-21839-7978-3-319-21840-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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https://doi.org/10.1007/978-3-658-34686-7se of stations placed arbitrarily in the plane, we present a .-approximation algorithm, for any .. This improves the previously best known approximation ratio of .. Moreover, we show a .-approximation algorithm for a case where deviation of one hop (. hops in total) is acceptable.
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Conference proceedings 2015015. .The 54 revised full papers presented in this volume were carefully reviewed and selected from 148 submissions. .The Algorithms and Data Structures Symposium - WADS (formerly Workshop on Algorithms And Data Structures), which alternates with the Scandinavian Workshop on Algorithm Theory, is int
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