80,488 research outputs found

    Approximating Source Location and Star Survivable Network Problems

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    In Source Location (SL) problems the goal is to select a mini-mum cost source set SβŠ†VS \subseteq V such that the connectivity (or flow) ψ(S,v)\psi(S,v) from SS to any node vv is at least the demand dvd_v of vv. In many SL problems ψ(S,v)=dv\psi(S,v)=d_v if v∈Sv \in S, namely, the demand of nodes selected to SS is completely satisfied. In a node-connectivity variant suggested recently by Fukunaga, every node vv gets a "bonus" pv≀dvp_v \leq d_v if it is selected to SS. Fukunaga showed that for undirected graphs one can achieve ratio O(kln⁑k)O(k \ln k) for his variant, where k=max⁑v∈Vdvk=\max_{v \in V}d_v is the maximum demand. We improve this by achieving ratio \min\{p^*\lnk,k\}\cdot O(\ln (k/q^*)) for a more general version with node capacities, where pβˆ—=max⁑v∈Vpvp^*=\max_{v \in V} p_v is the maximum bonus and qβˆ—=min⁑v∈Vqvq^*=\min_{v \in V} q_v is the minimum capacity. In particular, for the most natural case pβˆ—=1p^*=1 considered by Fukunaga, we improve the ratio from O(kln⁑k)O(k \ln k) to O(ln⁑2k)O(\ln^2k). We also get ratio O(k)O(k) for the edge-connectivity version, for which no ratio that depends on kk only was known before. To derive these results, we consider a particular case of the Survivable Network (SN) problem when all edges of positive cost form a star. We give ratio O(min⁑{ln⁑n,ln⁑2k})O(\min\{\ln n,\ln^2 k\}) for this variant, improving over the best ratio known for the general case O(k3ln⁑n)O(k^3 \ln n) of Chuzhoy and Khanna

    Low-density series expansions for directed percolation I: A new efficient algorithm with applications to the square lattice

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    A new algorithm for the derivation of low-density series for percolation on directed lattices is introduced and applied to the square lattice bond and site problems. Numerical evidence shows that the computational complexity grows exponentially, but with a growth factor \lambda < \protect{\sqrt[8]{2}}, which is much smaller than the growth factor \lambda = \protect{\sqrt[4]{2}} of the previous best algorithm. For bond (site) percolation on the directed square lattice the series has been extended to order 171 (158). Analysis of the series yields sharper estimates of the critical points and exponents.Comment: 20 pages, 8 figures (3 of them > 1Mb

    Exact Distance Oracles for Planar Graphs with Failing Vertices

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    We consider exact distance oracles for directed weighted planar graphs in the presence of failing vertices. Given a source vertex uu, a target vertex vv and a set XX of kk failed vertices, such an oracle returns the length of a shortest uu-to-vv path that avoids all vertices in XX. We propose oracles that can handle any number kk of failures. More specifically, for a directed weighted planar graph with nn vertices, any constant kk, and for any q∈[1,n]q \in [1,\sqrt n], we propose an oracle of size O~(nk+3/2q2k+1)\tilde{\mathcal{O}}(\frac{n^{k+3/2}}{q^{2k+1}}) that answers queries in O~(q)\tilde{\mathcal{O}}(q) time. In particular, we show an O~(n)\tilde{\mathcal{O}}(n)-size, O~(n)\tilde{\mathcal{O}}(\sqrt{n})-query-time oracle for any constant kk. This matches, up to polylogarithmic factors, the fastest failure-free distance oracles with nearly linear space. For single vertex failures (k=1k=1), our O~(n5/2q3)\tilde{\mathcal{O}}(\frac{n^{5/2}}{q^3})-size, O~(q)\tilde{\mathcal{O}}(q)-query-time oracle improves over the previously best known tradeoff of Baswana et al. [SODA 2012] by polynomial factors for q=Ω(nt)q = \Omega(n^t), t∈(1/4,1/2]t \in (1/4,1/2]. For multiple failures, no planarity exploiting results were previously known

    Low-density series expansions for directed percolation I: A new efficient algorithm with applications to the square lattice

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    A new algorithm for the derivation of low-density series for percolation on directed lattices is introduced and applied to the square lattice bond and site problems. Numerical evidence shows that the computational complexity grows exponentially, but with a growth factor \lambda < \protect{\sqrt[8]{2}}, which is much smaller than the growth factor \lambda = \protect{\sqrt[4]{2}} of the previous best algorithm. For bond (site) percolation on the directed square lattice the series has been extended to order 171 (158). Analysis of the series yields sharper estimates of the critical points and exponents.Comment: 20 pages, 8 figures (3 of them > 1Mb
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