On the maximum of random assignment process

M.A. Lifshits and A.A. Tadevosian

Statistics & Probability Letters, 2022, vol. 187, issue C

Abstract: We describe the behavior of the maximum’s expectation for the random assignment process associated to a large square matrix with i.i.d. entries. Under mild assumptions on the underlying distribution, the answer is expressed in terms of its quantile function.

Keywords: Assignment problem; Random assignment (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1016/j.spl.2022.109530

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