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- W4309071888 abstract "Most prior work on online matching problems has been with the flexibility of keeping some vertices unmatched. We study three related online matching problems with the constraint of matching every vertex, i.e., with no rejections. We adopt a model in which vertices arrive in uniformly random order and the non-negative edge-weights are arbitrary. For the capacitated online bipartite matching problem, in which the vertices of one side of the graph are offline and those of the other side arrive online, we give a 4.62-competitive algorithm when the capacity of each offline vertex is 2. For the online general (non-bipartite) matching problem, where all vertices arrive online, we give a 3.34-competitive algorithm. We also study the online roommate matching problem (Huzhang et al. 2017), in which each room (offline vertex) holds 2 persons (online vertices). Persons derive non-negative additive utilities from their room as well as roommate. In this model, with the goal of maximizing the social welfare, we give a 7.96-competitive algorithm. This is an improvement over the 24.72 approximation factor in (Huzhang et al. 2017)." @default.
- W4309071888 created "2022-11-21" @default.
- W4309071888 creator A5040410978 @default.
- W4309071888 date "2021-12-13" @default.
- W4309071888 modified "2023-09-25" @default.
- W4309071888 title "Secretary Matching With Vertex Arrivals and No Rejections" @default.
- W4309071888 doi "https://doi.org/10.48550/arxiv.2112.07140" @default.
- W4309071888 hasPublicationYear "2021" @default.
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