Parallel algorithms for all minimum link paths and link center problems

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Abstract

The link metric, defined on a constrained region R of the plane, sets the distance between a pair of points in R equal the minimum number of segments or links that are needed to construct a path in R between the points. The minimum link path problem is to compute a path consisting of minimum number of links between two points in R, when R is the inside of a simple polygon P of size ns. Recently Chandru et al. [1] proposed a parallel algorithm for computing minimum link path between two points inside P and it runs in O(log n log log n) time using O(n) processors. Here we show that minimum link paths from a point to all vertices of P can be computed in O(log2n log log n) time using O(n) processors. Using this result we propose a parallel algorithm for computing the link center of P. The link center of P is the set of points x inside P such that the link distance from x to any other point in P is minimized. The algorithm runs in O(log2n log log n) time using O(n2) processors. We also show that a triangle in the approximate link center can be computed in O(log3n log log n) time using O(n)processors. The complexity results of this paper are with respect to the CREW-PRAM model of computation.

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Ghosh, S. K., & Maheshwari, A. (1992). Parallel algorithms for all minimum link paths and link center problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 621 LNCS, pp. 106–117). Springer Verlag. https://doi.org/10.1007/3-540-55706-7_10

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