DocumentCode :
3450826
Title :
All pairs shortest paths in undirected graphs with integer weights
Author :
Shoshan, Avi ; Zwick, Uri
Author_Institution :
Dept. of Comput. Sci., Tel Aviv Univ., Israel
fYear :
1999
fDate :
1999
Firstpage :
605
Lastpage :
614
Abstract :
We show that the all pairs shortest paths (APSP) problem for undirected graphs with integer edge weights taken from the range {1, 2, ..., M} can be solved using only a logarithmic number of distance products of matrices with elements in the range (1, 2, ..., M). As a result, we get an algorithm for the APSP problem in such graphs that runs in O¯(Mnω) time, where n is the number of vertices in the input graph, M is the largest edge weight in the graph, and ω<2.376 is the exponent of matrix multiplication. This improves, and also simplifies, an O¯(M(ω+1)/2nω) time algorithm of Galil and Margalit (1997)
Keywords :
computational complexity; graph theory; matrix multiplication; all pairs shortest paths problem; input graph; integer edge weights; matrix distance products; matrix multiplication; undirected graphs; Computer science; Matrices; Read only memory; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science, 1999. 40th Annual Symposium on
Conference_Location :
New York City, NY
ISSN :
0272-5428
Print_ISBN :
0-7695-0409-4
Type :
conf
DOI :
10.1109/SFFCS.1999.814635
Filename :
814635
Link To Document :
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