When LP Is the Cure for Your Matching Woes: Improved Bounds for Stochastic Matchings
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- Bansal, N., Gupta, A., Li, J. et al. Algorithmica (2012) 63: 733. doi:10.1007/s00453-011-9511-8
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We give a 4 approximation for weighted stochastic matching on general graphs, and a 3 approximation on bipartite graphs. This answers an open question from Chen et al. (ICALP’09, LNCS, vol. 5555, pp. 266–278, ).
We introduce a generalization of the stochastic online matching problem (Feldman et al. in FOCS’09, pp. 117–126, ) that also models preference-uncertainty and timeouts of buyers, and give a constant factor approximation algorithm.