TY - GEN
T1 - A forward-backward single-source shortest paths algorithm
AU - Wilson, David B.
AU - Zwick, Uri
PY - 2013
Y1 - 2013
N2 - We describe a new forward-backward variant of Dijkstra's and Spira's Single-Source Shortest Paths (SSSP) algorithms. While essentially all SSSP algorithm only scan edges forward, the new algorithm scans some edges backward. The new algorithm assumes that edges in the out-going and incoming adjacency lists of the vertices appear in nondecreasing order of weight. (Spira's algorithm makes the same assumption about the out-going adjacency lists, but does not use incoming adjacency lists.) The running time of the algorithm on a complete directed graph on n vertices with independent exponential edge weights is O(n), with very high probability. This improves on the previously best result of O(n log n), which is best possible if only forward scans are allowed, exhibiting an interesting separation between forward-only and forwardbackward SSSP algorithms. As a consequence, we also get a new all-pairs shortest paths algorithm. The expected running time of the algorithm on complete graphs with independent exponential edge weights is O(n2), matching a recent result of Peres et al. Furthermore, the probability that the new algorithm requires more than O(n2) time is exponentially small, improving on the polynomially small probability of Peres et al.
AB - We describe a new forward-backward variant of Dijkstra's and Spira's Single-Source Shortest Paths (SSSP) algorithms. While essentially all SSSP algorithm only scan edges forward, the new algorithm scans some edges backward. The new algorithm assumes that edges in the out-going and incoming adjacency lists of the vertices appear in nondecreasing order of weight. (Spira's algorithm makes the same assumption about the out-going adjacency lists, but does not use incoming adjacency lists.) The running time of the algorithm on a complete directed graph on n vertices with independent exponential edge weights is O(n), with very high probability. This improves on the previously best result of O(n log n), which is best possible if only forward scans are allowed, exhibiting an interesting separation between forward-only and forwardbackward SSSP algorithms. As a consequence, we also get a new all-pairs shortest paths algorithm. The expected running time of the algorithm on complete graphs with independent exponential edge weights is O(n2), matching a recent result of Peres et al. Furthermore, the probability that the new algorithm requires more than O(n2) time is exponentially small, improving on the polynomially small probability of Peres et al.
KW - Graph algorithms
KW - Shortest paths
UR - http://www.scopus.com/inward/record.url?scp=84893431236&partnerID=8YFLogxK
U2 - 10.1109/FOCS.2013.81
DO - 10.1109/FOCS.2013.81
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:84893431236
SN - 9780769551357
T3 - Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS
SP - 707
EP - 716
BT - Proceedings - 2013 IEEE 54th Annual Symposium on Foundations of Computer Science, FOCS 2013
T2 - 2013 IEEE 54th Annual Symposium on Foundations of Computer Science, FOCS 2013
Y2 - 27 October 2013 through 29 October 2013
ER -