[HTML][HTML] On maximin share allocations in matroids
L Gourvès, J Monnot - Theoretical Computer Science, 2019 - Elsevier
L Gourvès, J Monnot
Theoretical Computer Science, 2019•ElsevierThe maximin share guarantee is, in the context of allocating indivisible goods to a set of
agents, a recent fairness criterion. A solution achieving a constant approximation of this
guarantee always exists and can be computed in polynomial time. We extend the problem to
the case where the goods collectively received by the agents satisfy a matroidal constraint.
Polynomial approximation algorithms for this generalization are provided: a 1/2-
approximation for any number of agents, a (1− ε)-approximation for two agents, and a (8/9 …
agents, a recent fairness criterion. A solution achieving a constant approximation of this
guarantee always exists and can be computed in polynomial time. We extend the problem to
the case where the goods collectively received by the agents satisfy a matroidal constraint.
Polynomial approximation algorithms for this generalization are provided: a 1/2-
approximation for any number of agents, a (1− ε)-approximation for two agents, and a (8/9 …
The maximin share guarantee is, in the context of allocating indivisible goods to a set of agents, a recent fairness criterion. A solution achieving a constant approximation of this guarantee always exists and can be computed in polynomial time. We extend the problem to the case where the goods collectively received by the agents satisfy a matroidal constraint. Polynomial approximation algorithms for this generalization are provided: a 1/2-approximation for any number of agents, a (1− ε)-approximation for two agents, and a (8/9− ε)-approximation for three agents. Apart from the extension to matroids, the (8/9− ε)-approximation for three agents improves on a (7/8− ε)-approximation by Amanatidis et al.(ICALP 2015). Some special cases are also presented and some extensions of the model are discussed.
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