A Simple Algorithm for the Graph Minor Decomposition − Logic meets Structural Graph Theory– [chapter]

Martin Grohe, Ken-ichi Kawarabayashi, Bruce Reed
2013 Proceedings of the Twenty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms  
Distance oracles are data structures that provide fast (possibly approximate) answers to shortest-path and distance queries in graphs. The tradeoff between the space requirements and the query time of distance oracles is of particular interest and the main focus of this paper. Unless stated otherwise, we assume all graphs to be planar and undirected. In FOCS 2001 (J. ACM 2004), Thorup introduced approximate distance oracles for planar graphs (concurrent with Klein, SODA 2002). Thorup proved
more » ... , for any > 0 and for any undirected planar graph G = (V, E) on n = |V | nodes, there exists a (1 + )-approximate distance oracle using space O(n −1 log n) such that approximate distance queries can be answered in time O( −1 ). In this paper, we aim at reducing the polynomial dependency on −1 and log n, getting the first improvement in the query time-space tradeoff. To 550
doi:10.1137/1.9781611973105.30 dblp:conf/soda/GroheKR13 fatcat:hzy72uuhk5c3vjliv2izydtbqe