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It is a long-standing problem to lower bound the performance of randomized greedy algorithms for maximum matching. Aronson, Dyer, Frieze and Suen studied the modified randomized greedy (MRG) algorithm and proved that it approximates the maximum matching within a factor of at least 1/2 + 1/400,000. They use heavy combinatorial methods in their analysis. We introduce a new technique we call Contrast...
Motivated by an application in kidney exchange, we study the following query-commit problem: we are given the set of vertices of a non-bipartite graph G. The set of edges in this graph are not known ahead of time. We can query any pair of vertices to determine if they are adjacent. If the queried edge exists, we are committed to match the two endpoints. Our objective is to maximize the size of the...
The cutting plane approach to optimal matchings has been discussed by several authors over the past decades, and its rate of convergence has been an open question. We prove that the cutting plane approach using Edmonds' blossom inequalities converges in polynomial time for the minimum-cost perfect matching problem. Our main insight is an LP-based method to select cutting planes. This cut selection...
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