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- W2079669094 abstract "In a seminal paper, Karp, Vazirani, and Vazirani show that a simple ranking algorithm achieves a competitive ratio of 1-1/e for the online bipartite matching problem in the standard adversarial model, where the ratio of 1-1/e is also shown to be optimal. Their result also implies that in the random arrivals model defined by Goel and Mehta, where the online nodes arrive in a random order, a simple greedy algorithm achieves a competitive ratio of 1-1/e. In this paper, we study the ranking algorithm in the random arrivals model, and show that it has a competitive ratio of at least 0.696, beating the 1-1/e ≈ 0.632 barrier in the adversarial model. Our result also extends to the i.i.d. distribution model of Feldman et al., removing the assumption that the distribution is known." @default.
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- W2079669094 date "2011-06-06" @default.
- W2079669094 modified "2023-10-12" @default.
- W2079669094 title "Online bipartite matching with random arrivals" @default.
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- W2079669094 doi "https://doi.org/10.1145/1993636.1993716" @default.
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