Download e-book for iPad: Algorithms and Computation: 24th International Symposium, by Darja Krushevskaja, S. Muthukrishnan (auth.), Leizhen Cai,
By Darja Krushevskaja, S. Muthukrishnan (auth.), Leizhen Cai, Siu-Wing Cheng, Tak-Wah Lam (eds.)
This booklet constitutes the refereed complaints of the twenty fourth overseas Symposium on Algorithms and Computation, ISAAC 2013, held in Hong Kong, China in December 2013. The sixty seven revised complete papers provided including 2 invited talks have been conscientiously reviewed and chosen from 177 submissions for inclusion within the ebook. the point of interest of the quantity in at the following issues: computation geometry, development matching, computational complexity, net and social community algorithms, graph conception and algorithms, scheduling algorithms, fixed-parameter tractable algorithms, algorithms and information buildings, algorithmic video game idea, approximation algorithms and community algorithms.
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Extra resources for Algorithms and Computation: 24th International Symposium, ISAAC 2013, Hong Kong, China, December 16-18, 2013, Proceedings
8. Ray-shooting(left) and binary searching by ray shooting(right) Space-Eﬃcient and Data-Sensitive Polygon Reconstruction Algorithms 31 does not reach a vertex of P (i). In the ﬁrst case, we declare that we have found an ear, and in the second case, we declare that the current triangle is not an ear. We store a ﬁnger to indicate the position of the last ray to reach a vertex of P (i), so that we can restart from the position of the ﬁnger if we need to do ray shooting from vq(i−1) later. Since the ﬁnger position does not go back, this process takes O(m) ray shooting queries, and hence O(m log2 n) time in total.
When looking for the shortest path between two given points inside a simple polygon P of size n, the currently best known algorithm is due to Guibas and Hershberger : they provide a method that, after an O(n) time preprocessing, can report the geodesic distance between any two points in P in O(log n) time. If the geodesic is to be reported, their method needs O(k + log n) time instead, where k is the number of vertices of the path. By applying our polygon simpliﬁcation strategy, we reduce the query time to O(log r).
If we simplify the polygon before making the queries, we obtain the following result. Corollary 7. Given a simple polygon P of n vertices out of which r > 0 are reﬂex, and two sets S1 , S2 of m sites, we can compute the geodesic median, the geodesic diameter of Si (for i ≤ 2), and the maximum geodesic distance between S1 and S2 in O(n + (m + r) log(m + r)) time using O(n + m) space. , with the minimum number of vertices. An optimal subsuming polygon consists of several disjoint paths with a minimum overall number of vertices.
Algorithms and Computation: 24th International Symposium, ISAAC 2013, Hong Kong, China, December 16-18, 2013, Proceedings by Darja Krushevskaja, S. Muthukrishnan (auth.), Leizhen Cai, Siu-Wing Cheng, Tak-Wah Lam (eds.)