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  • Titel: Restricted Max-Min Fair Allocation
  • Beteiligte: Cheng, Siu-Wing [Verfasser:in]; Mao, Yuchen [Verfasser:in]
  • Erschienen: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2018
  • Sprache: Englisch
  • DOI: https://doi.org/10.4230/LIPIcs.ICALP.2018.37
  • Schlagwörter: local search ; Fair allocation ; approximation
  • Entstehung:
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  • Beschreibung: The restricted max-min fair allocation problem seeks an allocation of resources to players that maximizes the minimum total value obtained by any player. It is NP-hard to approximate the problem to a ratio less than 2. Comparing the current best algorithm for estimating the optimal value with the current best for constructing an allocation, there is quite a gap between the ratios that can be achieved in polynomial time: 4+delta for estimation and 6 + 2 sqrt{10} + delta ~ 12.325 + delta for construction, where delta is an arbitrarily small constant greater than 0. We propose an algorithm that constructs an allocation with value within a factor 6 + delta from the optimum for any constant delta > 0. The running time is polynomial in the input size for any constant delta chosen.
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