A near-linear constant-factor approximation for euclidean bipartite matching?

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Abstract

In the Euclidean bipartite matching problem, we are given a set R of "red" points and a set B of "blue" points in ℝ d where |R|= |B| = n, and we want to pair up each red point with a distinct blue point so that the sum of distances between the paired points is minimized. We present an approximation algorithm that given any parameter 0 < ε < 1 runs in O(n1+ε) expected time and returns a matching whose expected cost is within a multiplicative factor O(log(1/ε)) of the optimal. The dimension d is considered to be a fixed constant.

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Agarwal, P. K., & Varadarajan, K. R. (2004). A near-linear constant-factor approximation for euclidean bipartite matching? In Proceedings of the Annual Symposium on Computational Geometry (pp. 247–252). Association for Computing Machinery. https://doi.org/10.1145/997817.997856

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