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In this paper we describe how imitative logit dynamic (rather popular inpopulation games theory) can be interpreted in terms of mirror descent method(well known in convex optimization). We demonstrate the connection of this twotype dynamics on the Shortest Path Problem.

On the relationship between imitative logit dynamics in the population  game theory and mirror descent method in the online optimization using the  example of the Shortest Path Problem