On the maximum of a special random assignment process
Mikhail Lifshits, Arman Tadevosian

TL;DR
This paper investigates the asymptotic expectation of the maximum in a specific random assignment process, analyzing how it varies with the distribution of the coefficients involved.
Contribution
It provides a detailed analysis of the maximum's behavior in a special assignment process, highlighting the influence of coefficient distributions.
Findings
Expectation of the maximum depends on the coefficients' distribution.
Asymptotic behavior characterized for different coefficient types.
Results applicable to related assignment and optimization problems.
Abstract
We consider the asymptotic behavior of the expectation of the maximum for a special assignment process with constant or i.i.d. coefficients. We show how it depends on the coefficients' distribution.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Mathematical Dynamics and Fractals
