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Partitioning heuristics for two geometric maximization problems
Authors:M.E Dyer  A.M Frieze  C.J.H McDiarmid
Affiliation:Department of Mathematics and Statistics, Teesside Polytechnic, Middlesbrough, Cleveland TS1 3BA, UK;Graduate School of Industrial Administration, Carnegie-Mellon University, Pittsburgh, PA 15213, USA (on leave from Queen Mary College London);Institute of Economics and Statistics, Oxford University, Oxford OX1 3UL, UK
Abstract:Given n points randomly selected from a uniform distribution on the unit square, we describe linear-time partitioning heuristics which will construct a matching or a tour of these points. We show that the heuristics closely approximate the optimum values as n → ∞. Hence we show that the asymptotic values of the maximum matching and tour are about 0·3826n and twice this value respectively.
Keywords:heuristics  partitioning
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