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Algorithms and Computation: 8th International Workshop, by Kurt Mehlhorn (auth.), Sudebkumar Prasant Pal, Kunihiko

By Kurt Mehlhorn (auth.), Sudebkumar Prasant Pal, Kunihiko Sadakane (eds.)

This publication constitutes the revised chosen papers of the eighth overseas Workshop on Algorithms and Computation, WALCOM 2014, held in Chennai, India, in February 2014. The 29 complete papers awarded including three invited talks have been conscientiously reviewed and chosen from sixty two submissions. The papers are geared up in topical sections on computational geometry, algorithms and approximations, allotted computing and networks, graph algorithms, complexity and boundaries, and graph embeddings and drawings.

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Extra resources for Algorithms and Computation: 8th International Workshop, WALCOM 2014, Chennai, India, February 13-15, 2014, Proceedings

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Parameters used for synthetic datasets Parameter Setting (default value is underlined) Dataset cardinality 200k, 400k, 600k, 800k, 1M The number of query points 4, 8, 12, 16, 20 k 4, 8, 12, 16, 20 f (p) SDIST, MAX We observe that our proposed algorithm is faster than MSSQ. The performance gap increases as n increases. We also show the response times of the algorithms for f (p) = MAX(p) in Figure 3.   200k 400k 600k 800k P       VKOG U  time (s)  723N0664 0664 VKOG U     1M    (a)   O    (b)   M   (c) Fig.

We do this for the remaining points of Pt in a similar way, and get the final list of points in Pt sorted in the ascending order of SDIST in time O(|Pt |). Lemma 6. We can sort data points having the same distance from q in the ascending order of SDIST in time linear to the number of the points. 3 Analysis We outline our algorithm as follows. 2. For the sorted list we can find top-k skyline points by using Algorithm Top-kMSSQ in Section 4. Let us analyze the running time of the algorithm. In the preprocessing phase, we spend O(n log n) time to compute two lists of points in P , one sorted along the line y = x and the other sorted along the line y = −x.

Springer, Heidelberg (2010) 9. : On the red-blue set cover problem. In: Proc. of 11th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2000, pp. 345–353 (2000) 10. : Geometric red-blue set cover for unit squares and related problems. In: Proceedings of the 25th Canadian Conference on Computational Geometry, CCCG 2013, pp. 289–293 (2013) 11. : Variable-size rectangle covering. M. ) COCOA 2009. LNCS, vol. 5573, pp. 145–154. Springer, Heidelberg (2009) 12. : Submodular functions and convexity.

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