Abstract
In this paper we consider linear generalized Nash equilibrium problems, i.e., the cost and the constraint functions of all players in a game are assumed to be linear. Exploiting duality theory, we design an algorithm that is able to compute the entire solution set of these problems and that terminates after finite time. We present numerical results on some academic examples as well as some economic market models to show effectiveness of our algorithm in small dimensions.
Similar content being viewed by others
References
Dorsch D, Jongen HTh, Shikhman V (2013) On structure and computation of generalized Nash equilibria. SIAM J Optim 23:452–474
Dreves A (2014) Finding all solutions of affine generalized Nash equilibrium problems with one-dimensional strategy sets. Math Methods Oper Res 80:139–159
Dreves A, Facchinei F, Fischer A, Herrich M (2014) A new error bound result for generalized Nash equilibrium problems and its algorithmic application. Comput Optim Appl 59:63–84
Dreves A, Facchinei F, Kanzow C, Sagratella S (2011) On the solution of the KKT conditions of generalized Nash equilibrium problems. SIAM J Optim 21:1082–1108
Dreves A, von Heusinger A, Kanzow C, Fukushima M (2013) A globalized Newton method for the computation of normalized Nash equilibria. J Global Optim 56:327–340
Dreves A, Kanzow C, Stein O (2012) Nonsmooth optimization reformulations of player convex generalized Nash equilibrium problems. J Global Optim 53:587–614
Dreves A, Sudermann-Merx N (2016) Solving linear generalized Nash equilibrium problems numerically. Optim Methods Softw. doi:10.1080/10556788.2016.1165676
Facchinei F, Kanzow C (2010) Generalized Nash equilibrium problems. Ann Oper Res 1755:177–211
Facchinei F, Kanzow C (2010) Penalty methods for the solution of generalized Nash equilibrium problems. SIAM J Optim 20:2228–2253
Facchinei F, Fischer A, Piccialli V (2009) Generalized Nash equilibrium problems and Newton methods. Math Program 117:163–194
Facchinei F, Pang J-S (2009) Nash equilibria: The variational approach. In: Eldar Y, Palomar D (eds) Convex optimization in signal processing and communications. Cambridge University Press, Cambridge, pp 443–493
Facchinei F, Sagratella S (2011) On the computation of all solutions of jointly convex generalized Nash equilibrium problems. Optim Lett 5(3):531–547
Fischer A, Herrich M, Schönefeld K (2014) Generalized Nash equilibrium problems - recent advances and challenges. Pesqui Oper 34:521–558
Han D, Zhang H, Qian G, Xu L (2012) An improved two-step method for solving generalized Nash equilibrium problems. Eur J Oper Res 216:613–623
Izmailov AF, Solodov MV (2014) On error bounds and Newton-type methods for generalized Nash equilibrium problems. Comput Optim Appl 59:201–218
Krawczyk JB, Uryasev S (2000) Relaxation algorithm to find Nash equilibria with economic applications. Environ Model Assess 5:63–73
Nabetani K, Tseng P, Fukushima M (2011) Parametrized variational inequality approaches to generalized Nash equilibrium problems with shared constraints. Comput Optim Appl 48(3):423–452
Rosen JB (1965) Existence and uniqueness of equilibrium points for concave \(N\)-person games. Econometrica 33:520–534
Schiro DA, Pang J-S, Shanbhag UV (2013) On the solution of affine generalized Nash equilibrium problems with shared constraints by Lemke’s method. Math Program 142(1–2):1–46
Stein O, Sudermann-Merx N (2015) The cone condition and nonsmoothness in linear generalized Nash games. J Optim Theory Appl. doi:10.1007/s10957-015-0779-8
Sudermann-Merx N (2016) Linear generalized Nash equilibrium problems. Dissertation, Karlsruhe Institute of Technology
Acknowledgments
I would like to thank two anonymous referees for their helpful comments, and one referee for suggesting to compare the new algorithm with the approach presented in Remark 1.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Dreves, A. Computing all solutions of linear generalized Nash equilibrium problems. Math Meth Oper Res 85, 207–221 (2017). https://doi.org/10.1007/s00186-016-0562-0
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00186-016-0562-0