Date of Original Version

10-6-2013

Type

Article

Rights Management

This is the accepted version of the article which has been published in final form at http://dx.doi.org/10.1002/rsa.20525

Abstract or Description

Beautiful formulas are known for the expected cost of random two-dimensional assignment problems, but in higher dimensions even the scaling is not known. In three dimensions and above, the problem has natural “Axial” and “Planar” versions, both of which are NP-hard. For 3-dimensional Axial random assignment instances of size n, the cost scales as Ω(1/ n), and a main result of the present paper is a linear-time algorithm that, with high probability, finds a solution of cost O(n–1+o(1)). For 3-dimensional Planar assignment, the lower bound is Ω(n), and we give a new efficient matching-based algorithm that with high probability returns a solution with cost O(n log n)

DOI

10.1002/rsa.20525

Included in

Mathematics Commons

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Published In

Random Structures and Algorithms, 46, 1, 160-196.