In the Euclidean bipartite matching problem, we are given a set R of "red" points and a set B of "blue" points in ℝ3 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.
No takes yet. Share an insight, caveat, or question.
Agarwal et al. (2004) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: