‘Beating Greedy Matching in Sublinear Time’

“We study sublinear time algorithms for estimating the size of maximum matching in graphs. Our main result is a (½ + Ω(1))-approximation algorithm which can be implemented in O(n1+ε) time, where n is the number of vertices and the constant ε > 0 can be made arbitrarily small. The best known lower bound for the problem is Ω(n), which holds for any constant approximation.”

Read the paper and see the full list of authors at the Society for Industrial and Applied Mathematics.

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