462 research outputs found

    All-Pairs Minimum Cuts in Near-Linear Time for Surface-Embedded Graphs

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    For an undirected nn-vertex graph GG with non-negative edge-weights, we consider the following type of query: given two vertices ss and tt in GG, what is the weight of a minimum stst-cut in GG? We solve this problem in preprocessing time O(nlog3n)O(n\log^3 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)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)2^{O(g^2)}

    Minimum cycle and homology bases of surface embedded graphs

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    We study the problems of finding a minimum cycle basis (a minimum weight set of cycles that form a basis for the cycle space) and a minimum homology basis (a minimum weight set of cycles that generates the 11-dimensional (Z2\mathbb{Z}_2)-homology classes) of an undirected graph embedded on a surface. The problems are closely related, because the minimum cycle basis of a graph contains its minimum homology basis, and the minimum homology basis of the 11-skeleton of any graph is exactly its minimum cycle basis. For the minimum cycle basis problem, we give a deterministic O(nω+22gn2+m)O(n^\omega+2^{2g}n^2+m)-time algorithm for graphs embedded on an orientable surface of genus gg. The best known existing algorithms for surface embedded graphs are those for general graphs: an O(mω)O(m^\omega) time Monte Carlo algorithm and a deterministic O(nm2/logn+n2m)O(nm^2/\log n + n^2 m) time algorithm. For the minimum homology basis problem, we give a deterministic O((g+b)3nlogn+m)O((g+b)^3 n \log n + m)-time algorithm for graphs embedded on an orientable or non-orientable surface of genus gg with bb boundary components, assuming shortest paths are unique, improving on existing algorithms for many values of gg and nn. The assumption of unique shortest paths can be avoided with high probability using randomization or deterministically by increasing the running time of the homology basis algorithm by a factor of O(logn)O(\log n).Comment: A preliminary version of this work was presented at the 32nd Annual International Symposium on Computational Geometr

    Topologically Trivial Closed Walks in Directed Surface Graphs

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    Let GG be a directed graph with nn vertices and mm edges, embedded on a surface SS, possibly with boundary, with first Betti number β\beta. We consider the complexity of finding closed directed walks in GG that are either contractible (trivial in homotopy) or bounding (trivial in integer homology) in SS. Specifically, we describe algorithms to determine whether GG contains a simple contractible cycle in O(n+m)O(n+m) time, or a contractible closed walk in O(n+m)O(n+m) time, or a bounding closed walk in O(β(n+m))O(\beta (n+m)) time. Our algorithms rely on subtle relationships between strong connectivity in GG and in the dual graph GG^*; our contractible-closed-walk algorithm also relies on a seminal topological result of Hass and Scott. We also prove that detecting simple bounding cycles is NP-hard. We also describe three polynomial-time algorithms to compute shortest contractible closed walks, depending on whether the fundamental group of the surface is free, abelian, or hyperbolic. A key step in our algorithm for hyperbolic surfaces is the construction of a context-free grammar with O(g2L2)O(g^2L^2) non-terminals that generates all contractible closed walks of length at most L, and only contractible closed walks, in a system of quads of genus g2g\ge2. Finally, we show that computing shortest simple contractible cycles, shortest simple bounding cycles, and shortest bounding closed walks are all NP-hard.Comment: 30 pages, 18 figures; fixed several minor bugs and added one figure. An extended abstraction of this paper will appear at SOCG 201
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