31,682 research outputs found

    A Characterization of Undirected Graphs Admitting Optimal Cost Shares

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    In a seminal paper, Chen, Roughgarden and Valiant studied cost sharing protocols for network design with the objective to implement a low-cost Steiner forest as a Nash equilibrium of an induced cost-sharing game. One of the most intriguing open problems to date is to understand the power of budget-balanced and separable cost sharing protocols in order to induce low-cost Steiner forests. In this work, we focus on undirected networks and analyze topological properties of the underlying graph so that an optimal Steiner forest can be implemented as a Nash equilibrium (by some separable cost sharing protocol) independent of the edge costs. We term a graph efficient if the above stated property holds. As our main result, we give a complete characterization of efficient undirected graphs for two-player network design games: an undirected graph is efficient if and only if it does not contain (at least) one out of few forbidden subgraphs. Our characterization implies that several graph classes are efficient: generalized series-parallel graphs, fan and wheel graphs and graphs with small cycles.Comment: 60 pages, 69 figures, OR 2017 Berlin, WINE 2017 Bangalor

    Diversities and the Geometry of Hypergraphs

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    The embedding of finite metrics in 1\ell_1 has become a fundamental tool for both combinatorial optimization and large-scale data analysis. One important application is to network flow problems in which there is close relation between max-flow min-cut theorems and the minimal distortion embeddings of metrics into 1\ell_1. Here we show that this theory can be generalized considerably to encompass Steiner tree packing problems in both graphs and hypergraphs. Instead of the theory of 1\ell_1 metrics and minimal distortion embeddings, the parallel is the theory of diversities recently introduced by Bryant and Tupper, and the corresponding theory of 1\ell_1 diversities and embeddings which we develop here.Comment: 19 pages, no figures. This version: further small correction

    Constructing disjoint Steiner trees in Sierpi\'{n}ski graphs

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    Let GG be a graph and SV(G)S\subseteq V(G) with S2|S|\geq 2. Then the trees T1,T2,,TT_1, T_2, \cdots, T_\ell in GG are \emph{internally disjoint Steiner trees} connecting SS (or SS-Steiner trees) if E(Ti)E(Tj)=E(T_i) \cap E(T_j )=\emptyset and V(Ti)V(Tj)=SV(T_i)\cap V(T_j)=S for every pair of distinct integers i,ji,j, 1i,j1 \leq i, j \leq \ell. Similarly, if we only have the condition E(Ti)E(Tj)=E(T_i) \cap E(T_j )=\emptyset but without the condition V(Ti)V(Tj)=SV(T_i)\cap V(T_j)=S, then they are \emph{edge-disjoint Steiner trees}. The \emph{generalized kk-connectivity}, denoted by κk(G)\kappa_k(G), of a graph GG, is defined as κk(G)=min{κG(S)SV(G) and S=k}\kappa_k(G)=\min\{\kappa_G(S)|S \subseteq V(G) \ \textrm{and} \ |S|=k \}, where κG(S)\kappa_G(S) is the maximum number of internally disjoint SS-Steiner trees. The \emph{generalized local edge-connectivity} λG(S)\lambda_{G}(S) is the maximum number of edge-disjoint Steiner trees connecting SS in GG. The {\it generalized kk-edge-connectivity} λk(G)\lambda_k(G) of GG is defined as λk(G)=min{λG(S)SV(G) and S=k}\lambda_k(G)=\min\{\lambda_{G}(S)\,|\,S\subseteq V(G) \ and \ |S|=k\}. These measures are generalizations of the concepts of connectivity and edge-connectivity, and they and can be used as measures of vulnerability of networks. It is, in general, difficult to compute these generalized connectivities. However, there are precise results for some special classes of graphs. In this paper, we obtain the exact value of λk(S(n,))\lambda_{k}(S(n,\ell)) for 3kn3\leq k\leq \ell^n, and the exact value of κk(S(n,))\kappa_{k}(S(n,\ell)) for 3k3\leq k\leq \ell, where S(n,)S(n, \ell) is the Sierpi\'{n}ski graphs with order n\ell^n. As a direct consequence, these graphs provide additional interesting examples when λk(S(n,))=κk(S(n,))\lambda_{k}(S(n,\ell))=\kappa_{k}(S(n,\ell)). We also study the some network properties of Sierpi\'{n}ski graphs

    Disproofs of Generalized Gilbert–Pollak Conjecture on the Steiner Ratio in Three or More Dimensions

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    AbstractThe Gilbert–Pollak conjecture, posed in 1968, was the most important conjecture in the area of “Steiner trees.” The “Steiner minimal tree” (SMT) of a point setPis the shortest network of “wires” which will suffice to “electrically” interconnectP. The “minimum spanning tree” (MST) is the shortest such network when onlyintersite line segmentsare permitted. The generalized GP conjecture stated thatρd=infP⊂Rd(lSMT(P)/lMST(P)) was achieved whenPwas the vertices of a regulard-simplex. It was showed previously that the conjecture is true ford=2 and false for 3⩽d⩽9. We settle remaining cases completely in this paper. Indeed, we show that any point set achievingρdmust have cardinality growing at least exponentially withd. The real question now is: What are the true minimal-ρpoint sets? This paper introduces the “d-dimensional sausage” point sets, which may have a lit to do with the answer

    Polylogarithmic Approximation for Generalized Minimum Manhattan Networks

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    Given a set of nn terminals, which are points in dd-dimensional Euclidean space, the minimum Manhattan network problem (MMN) asks for a minimum-length rectilinear network that connects each pair of terminals by a Manhattan path, that is, a path consisting of axis-parallel segments whose total length equals the pair's Manhattan distance. Even for d=2d=2, the problem is NP-hard, but constant-factor approximations are known. For d3d \ge 3, the problem is APX-hard; it is known to admit, for any \eps > 0, an O(n^\eps)-approximation. In the generalized minimum Manhattan network problem (GMMN), we are given a set RR of nn terminal pairs, and the goal is to find a minimum-length rectilinear network such that each pair in RR is connected by a Manhattan path. GMMN is a generalization of both MMN and the well-known rectilinear Steiner arborescence problem (RSA). So far, only special cases of GMMN have been considered. We present an O(logd+1n)O(\log^{d+1} n)-approximation algorithm for GMMN (and, hence, MMN) in d2d \ge 2 dimensions and an O(logn)O(\log n)-approximation algorithm for 2D. We show that an existing O(logn)O(\log n)-approximation algorithm for RSA in 2D generalizes easily to d>2d>2 dimensions.Comment: 14 pages, 5 figures; added appendix and figure
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