All-pairs minimum cuts in near-linear time for surface-embedded graphs

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Abstract

For an undirected n-vertex graph G with non-negative edge-weights, we consider the following type of query: given two vertices s and t in G, what is the weight of a minimum st-cut in G? We solve this problem in preprocessing time O(n log3 n) for graphs of bounded genus, giving the first sub-quadratic time algorithm for this class of graphs. Our result also improves by a logarithmic factor a previous algorithm by Borradaile, Sankowski and Wulff-Nilsen (FOCS 2010) that applied only to planar graphs. Our algorithm constructs a Gomory-Hu tree for the given graph, providing a data structure with space O(n) that can answer minimum-cut queries in constant time. The dependence on the genus of the input graph in our preprocessing time is 2O(g2).

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Borradaile, G., Eppstein, D., Nayyeri, A., & Wulff-Nilsen, C. (2016). All-pairs minimum cuts in near-linear time for surface-embedded graphs. In Leibniz International Proceedings in Informatics, LIPIcs (Vol. 51, pp. 22.1-22.16). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.SoCG.2016.22

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