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Faster algorithms for semi-matching problems
ICALP'10 Proceedings of the 37th international colloquium conference on Automata, languages and programming
Distributed 2-approximation algorithm for the semi-matching problem
DISC'12 Proceedings of the 26th international conference on Distributed Computing
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A semi-matching on a bipartite graph G = (U ∪ V, E) is a set of edges X ⊆ E such that each vertex in U is incident to exactly one edge in X. The sum of the weights of the vertices from U that are assigned (semi-matched) to some vertex v ∈ V is referred to as the load of vertex v. In this paper, we consider the problem to finding a semi-matching that minimizes the maximum load among all vertices in V. This problem has been shown to be solvable in polynomial time by Harvey et al. [N. Harvey, R. Ladner, L. Lovasz, T. Tamir, Semi-matchings for bipartite graphs and load balancing, in: Proc. 8th WADS, 2003, pp. 284-306] and Fakcharoenphol et al. [J. Fakcharoenphol, B. Lekhanukit, D. Nanongkai, A faster algorithm for optimal semi-matching, Manuscript, 2005] for unweighted graphs. However, the computational complexity for the weighted version of the problem was left as an open problem. In this paper, we prove that the problem of finding a semi-matching that minimizes the maximum load among all vertices in a weighted bipartite graph is NP-complete. A 3/2-approximation algorithm is proposed for this problem.