183 research outputs found

    A simple dual ascent algorithm for the multilevel facility location problem

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    We present a simple dual ascent method for the multilevel facility location problem which finds a solution within 66 times the optimum for the uncapacitated case and within 1212 times the optimum for the capacitated one. The algorithm is deterministic and based on the primal-dual technique. \u

    An average case analysis of the minimum spanning tree heuristic for the range assignment problem

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    We present an average case analysis of the minimum spanning tree heuristic for the range assignment problem on a graph with power weighted edges. It is well-known that the worst-case approximation ratio of this heuristic is 2. Our analysis yields the following results: (1) In the one dimensional case (d=1d = 1), where the weights of the edges are 1 with probability pp and 0 otherwise, the average-case approximation ratio is bounded from above by 2p2-p. (2) When d=1d =1 and the distance between neighboring vertices is drawn from a uniform [0,1][0,1]-distribution, the average approximation ratio is bounded from above by 22α2-2^{-\alpha} where α\alpha denotes the distance power radient. (3) In Euclidean 2-dimensional space, with distance power gradient α=2\alpha = 2, the average performance ratio is bounded from above by 1+log21 + \log 2

    Integration and Optimization of Multivariate Polynomials by Restriction onto a Random Subspace

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    We consider the problem of efficient integration of an n-variate polynomial with respect to the Gaussian measure in R^n and related problems of complex integration and optimization of a polynomial on the unit sphere. We identify a class of n-variate polynomials f for which the integral of any positive integer power f^p over the whole space is well-approximated by a properly scaled integral over a random subspace of dimension O(log n). Consequently, the maximum of f on the unit sphere is well-approximated by a properly scaled maximum on the unit sphere in a random subspace of dimension O(log n). We discuss connections with problems of combinatorial counting and applications to efficient approximation of a hafnian of a positive matrix.Comment: 15 page
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