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

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

ISBN-10: 331904656X

ISBN-13: 9783319046563

ISBN-10: 3319046578

ISBN-13: 9783319046570

This booklet constitutes the revised chosen papers of the eighth foreign Workshop on Algorithms and Computation, WALCOM 2014, held in Chennai, India, in February 2014. The 29 complete papers offered including three invited talks have been rigorously 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 info for Algorithms and Computation: 8th International Workshop, WALCOM 2014, Chennai, India, February 13-15, 2014, Proceedings

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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. , Gr¨ otschel, M. ) Mathematical Programming The State of the Art, pp.

249–252 (2010) 21. : Algorithms for range-skyline queries. , Widmayer, P. ) SIGSPATIAL/GIS, pp. 526–529. ACM (2012) 22. : Optimal and near-optimal algorithms for generalized intersection reporting on pointer machines. Inf. Process. Lett. 95(3), 382–388 (2005) 23. : A data structure for dynamic trees. In: STOC, pp. 114–122. ACM (1981) 24. : A data structure for dynamic trees. J. Comput. Syst. Sci. 26(3), 362–391 (1983) 25. : Applications of path compression on balanced trees. J. ACM 26(4), 690–715 (1979) Boundary Labeling with Flexible Label Positionsδ Zhi-Dong Huang1 , Sheung-Hung Poon1,ΔΔ , and Chun-Cheng Lin2 1 Dept.

Lemma 2. The canonical convex hulls in R can be preprocessed for generalized range reporting in O(n log3 n) time. On Generalized Planar Skyline and Convex Hull Range Queries 41 Proof. The data structure D takes O(n log n) time to build. We build one instance of D for every canonical node in R. By a similar analysis as was performed in proving Lemma 1, it can be shown that the preprocessing of all canonical con≈ ⊗ vex hulls in R will take O(n log3 n) time. Lemma 3. The data structure R occupies O(n log2 n) space.

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Algorithms and Computation: 8th International Workshop, WALCOM 2014, Chennai, India, February 13-15, 2014, Proceedings by Kurt Mehlhorn (auth.), Sudebkumar Prasant Pal, Kunihiko Sadakane (eds.)

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