The best known expected time for the all pairs shortest path problem on a directed graph with non-negative edge costs is O(n2log n) by Moffat and Takaoka. Let the solution set be the set of vertices to which the given algorithm has established shortest paths. The Moffat-Takaoka algorithm maintains complexities before and after the critical point in balance, which is the moment when the size of the solution set is n-n/log n. In this paper, we remove the concept of critical point and the data structure, called a batch list, whereby we make the algorithm simpler and seamless, resulting in a simpler analysis and speed-up. © 2010 Springer-Verlag.
CITATION STYLE
Takaoka, T., & Hashim, M. (2010). A simpler algorithm for the all pairs shortest path problem with O(n 2 log n) expected time. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6509 LNCS, pp. 195–206). https://doi.org/10.1007/978-3-642-17461-2_16
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