The MDEA model admits tight 1/ℓ-approximations for simultaneous USW and ESW efficiency across ℓ dimensions with NP-hardness for exact simultaneous optimization even with binary valuations, plus characterizations of three multidimensional Pareto notions.
Discrete Envy-free Division of Necklaces and Maps
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abstract
We study the discrete variation of the classical cake-cutting problem where n players divide a 1-dimensional cake with exactly (n-1) cuts, replacing the continuous, infinitely divisible "cake" with a necklace of discrete, indivisible "beads." We focus specifically on envy-free divisions, exploring different constraints on player-preferences. We show we usually cannot guarantee an envy-free division and consider situations where we can obtain an envy-free division for relatively small. We also prove a 2-dimensional result with a grid of indivisible objects. This may be viewed as a way to divide a state with indivisible districts among a set of constituents, producing somewhat gerrymandered regions that form an envy-free division of the state.
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Simultaneously Efficient Allocation of Indivisible Items Across Multiple Dimensions
The MDEA model admits tight 1/ℓ-approximations for simultaneous USW and ESW efficiency across ℓ dimensions with NP-hardness for exact simultaneous optimization even with binary valuations, plus characterizations of three multidimensional Pareto notions.