Title :
Finding the hidden path: time bounds for all-pairs shortest paths
Author :
Karger, David R. ; Koller, Daphne ; Phillips, Steven J.
Author_Institution :
Dept. of Comput. Sci., Stanford Univ., CA, USA
Abstract :
The all-pairs shortest paths problem in weighted graphs is investigated. An algorithm called the hidden paths algorithm, which finds these paths in time O(m*+n n2 log n), where m* is the number of edges participating in shortest paths, is presented. It is argued that m* is likely to be small in practice, since m*=O(n log n) with high probability for many probability distributions on edge weights. An Ω(mn) lower bound on the running time of any path-comparison-based algorithm for the all-pairs shortest paths problem is proved
Keywords :
computational complexity; graph theory; all-pairs shortest paths; edge weights; hidden paths algorithm; lower bound; path-comparison-based algorithm; time bounds; weighted graphs; Change detection algorithms; Computer science; Probability distribution; Shortest path problem;
Conference_Titel :
Foundations of Computer Science, 1991. Proceedings., 32nd Annual Symposium on
Conference_Location :
San Juan
Print_ISBN :
0-8186-2445-0
DOI :
10.1109/SFCS.1991.185419