2,486 research outputs found

    Light Spanners

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    A tt-spanner of a weighted undirected graph G=(V,E)G=(V,E), is a subgraph HH such that dH(u,v)tdG(u,v)d_H(u,v)\le t\cdot d_G(u,v) for all u,vVu,v\in V. The sparseness of the spanner can be measured by its size (the number of edges) and weight (the sum of all edge weights), both being important measures of the spanner's quality -- in this work we focus on the latter. Specifically, it is shown that for any parameters k1k\ge 1 and ϵ>0\epsilon>0, any weighted graph GG on nn vertices admits a (2k1)(1+ϵ)(2k-1)\cdot(1+\epsilon)-stretch spanner of weight at most w(MST(G))Oϵ(kn1/k/logk)w(MST(G))\cdot O_\epsilon(kn^{1/k}/\log k), where w(MST(G))w(MST(G)) is the weight of a minimum spanning tree of GG. Our result is obtained via a novel analysis of the classic greedy algorithm, and improves previous work by a factor of O(logk)O(\log k).Comment: 10 pages, 1 figure, to appear in ICALP 201

    Sparse geometric graphs with small dilation

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    Given a set S of n points in R^D, and an integer k such that 0 <= k < n, we show that a geometric graph with vertex set S, at most n - 1 + k edges, maximum degree five, and dilation O(n / (k+1)) can be computed in time O(n log n). For any k, we also construct planar n-point sets for which any geometric graph with n-1+k edges has dilation Omega(n/(k+1)); a slightly weaker statement holds if the points of S are required to be in convex position

    Spanning Properties of Theta-Theta Graphs

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    We study the spanning properties of Theta-Theta graphs. Similar in spirit with the Yao-Yao graphs, Theta-Theta graphs partition the space around each vertex into a set of k cones, for some fixed integer k > 1, and select at most one edge per cone. The difference is in the way edges are selected. Yao-Yao graphs select an edge of minimum length, whereas Theta-Theta graphs select an edge of minimum orthogonal projection onto the cone bisector. It has been established that the Yao-Yao graphs with parameter k = 6k' have spanning ratio 11.67, for k' >= 6. In this paper we establish a first spanning ratio of 7.827.82 for Theta-Theta graphs, for the same values of kk. We also extend the class of Theta-Theta spanners with parameter 6k', and establish a spanning ratio of 16.7616.76 for k' >= 5. We surmise that these stronger results are mainly due to a tighter analysis in this paper, rather than Theta-Theta being superior to Yao-Yao as a spanner. We also show that the spanning ratio of Theta-Theta graphs decreases to 4.64 as k' increases to 8. These are the first results on the spanning properties of Theta-Theta graphs.Comment: 20 pages, 6 figures, 3 table

    Optimal Geo-Indistinguishable Mechanisms for Location Privacy

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    We consider the geo-indistinguishability approach to location privacy, and the trade-off with respect to utility. We show that, given a desired degree of geo-indistinguishability, it is possible to construct a mechanism that minimizes the service quality loss, using linear programming techniques. In addition we show that, under certain conditions, such mechanism also provides optimal privacy in the sense of Shokri et al. Furthermore, we propose a method to reduce the number of constraints of the linear program from cubic to quadratic, maintaining the privacy guarantees and without affecting significantly the utility of the generated mechanism. This reduces considerably the time required to solve the linear program, thus enlarging significantly the location sets for which the optimal mechanisms can be computed.Comment: 13 page

    Improved Parallel Algorithms for Spanners and Hopsets

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    We use exponential start time clustering to design faster and more work-efficient parallel graph algorithms involving distances. Previous algorithms usually rely on graph decomposition routines with strict restrictions on the diameters of the decomposed pieces. We weaken these bounds in favor of stronger local probabilistic guarantees. This allows more direct analyses of the overall process, giving: * Linear work parallel algorithms that construct spanners with O(k)O(k) stretch and size O(n1+1/k)O(n^{1+1/k}) in unweighted graphs, and size O(n1+1/klogk)O(n^{1+1/k} \log k) in weighted graphs. * Hopsets that lead to the first parallel algorithm for approximating shortest paths in undirected graphs with O(m  polylog  n)O(m\;\mathrm{polylog}\;n) work
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