2017
DOI: 10.1007/s10013-017-0255-x
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Computation of Cournot–Nash Equilibria by Entropic Regularization

Abstract: We consider a class of games with continuum of players where equilibria can be obtained by the minimization of a certain functional related to optimal transport as emphasized in [7]. We then use the powerful entropic regularization technique to approximate the problem and solve it numerically in various cases. We also consider the extension to some models with several populations of players.

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Cited by 10 publications
(3 citation statements)
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“…This scheme was extended in [5] to unbalanced transport problem and used in [4] to compute Cournot-Nash equilibria. It is well known that the solution of (5.2) is of the form γ i,j = a i (η ε ) i,j b j , where a, b ∈ R N and η ε ∈ R N ×N .…”
Section: Numerical Simulationsmentioning
confidence: 99%
“…This scheme was extended in [5] to unbalanced transport problem and used in [4] to compute Cournot-Nash equilibria. It is well known that the solution of (5.2) is of the form γ i,j = a i (η ε ) i,j b j , where a, b ∈ R N and η ε ∈ R N ×N .…”
Section: Numerical Simulationsmentioning
confidence: 99%
“…Minimizers of (1) when m = n have been studied extensively; for the subproblems where one marginal is fixed, under mild conditions on the functionals F and G, existence and uniqueness of minimizers has been established, and, depending on the precise forms of F and G, various regularity results and bounds on solutions exist. Solutions can be characterized by partial differential equations, and various numerical schemes for solving them have been proposed (see [24, chapter 6 and section 7.4] and the references therein and [2,4,5,11,22,23]).…”
mentioning
confidence: 99%
“…Nestedness is equivalent to this point − k(y) cos(y) of intersection being monotone increasing. Now, the differential equation ( 10) 5 for k(y) reads…”
mentioning
confidence: 99%