Abstract
A universal method of searching for usual and stochastic equilibria in congestion population games is proposed. The Beckmann and stable dynamics models of an equilibrium flow distribution over paths are considered. A search for Nash(–Wardrop) stochastic equilibria leads to entropy-regularized convex optimization problems. Efficient solutions of such problems, more exactly, of their duals are sought by applying a recently proposed universal primal-dual gradient method, which is optimally and adaptively tuned to the smoothness of the problem under study.
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ACKNOWLEDGMENTS
The authors are grateful to Yu.E. Nesterov for his valuable comments.
This work was supported by the Russian Science Foundation (project no. 14-50-00150) (see Sections 4–6), by the Russian Foundation for Basic Research (project no. 15-31-70001-mol_a_mos), and by a grant from the President of the Russian Federation (MK-1806.2017.9) (see Section 4).
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Baimurzina, D.R., Gasnikov, A.V., Gasnikova, E.V. et al. Universal Method of Searching for Equilibria and Stochastic Equilibria in Transportation Networks. Comput. Math. and Math. Phys. 59, 19–33 (2019). https://doi.org/10.1134/S0965542519010020
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DOI: https://doi.org/10.1134/S0965542519010020