Abstract
In this paper, we propose dynamical systems for solving variational inequalities whose mapping is paramonotone, strongly pseudomonotone or pseudomonotone and Lipschitz continuous, respectively. Solutions of these dynamical system are shown to converge to a desired solution of the variational inequalities. When the mapping is strongly pseudomonotone but is not necessarily Lipschitz continuous, the convergence rate of the new algorithm is established. This approach is novel and the new algorithms can be considered continuous versions of the existing ones for variational inequalities.
Similar content being viewed by others
References
Anh PK, Hai TN. Splitting extragradient-like algorithms for strongly pseudomonotone equilibrium problems. Numer Algor 2017;76:67–91.
Anh PK, Vinh NT. Self-adaptive gradient projection algorithms for variational inequalities involving non-Lipschitz continuous operators. Numer Algor 2019;81:983–1001.
Anh PN, Hai TN, Tuan PM. On ergodic algorithms for equilibrium problems. J Global Optim 2016;64:179–195.
Antipin AS. Gradient approach of computing fixed points of equilibrium problems. J Glob Optim 2002;24:285–309.
Bao TQ, Khanh PQ. A projection-type algorithm for pseudomonotone nonlipschitzian multi-valued variational inequalities. Nonconvex Optim Appl 2005;77:113–129.
Bauschke HH, Combettes PL. Convex analysis and monotone operator theory in hilbert spaces. New York: Springer; 2011.
Bello Cruz JY, Iusem AN. An explicit algorithm for monotone variational inequalities. Optimization 2012;61:855–871.
Bello Cruz JY, Iusem AN. Convergence of direct methods for paramonotone variational inequalities. Comput Optim Appl 2010;46:247–263.
Bigi G, Castellani M, Pappalardo M, Passacantando M. Existence and solution methods for equilibria. Eur J Oper Res 2013;227:1–11.
Blum E, Oettli W. From optimitazion and variational inequalities to equilibrium problems. Math Stud 1994;63:123–145.
Cavazzuti E, Pappalardo M, Passacantando M. Nash equilibria, variational inequalities, and dynamical systems. J Optim Theory Appl 2002;114:491–506.
Bello Cruz JY, Millán RD. A direct splitting method for nonsmooth variational inequalities. J Optim Theory Appl 2014;161:729–737.
Facchinei F, Pang J-S. Finite-dimensional variational inequalities and complementarity problems. New York: Springer; 2003.
Ha NTT, Strodiot JJ, Vuong PT. On the global exponential stability of a projected dynamical system for strongly pseudomonotone variational inequalities. Opt Lett 2018;12:1625–38.
Hai TN, Vinh NT. Two new splitting algorithms for equilibrium problems. Rev R Acad Cienc Exactas Fís Nat Ser A Math RACSAM 2017;111:1051–69.
Hai TN. Two modified extragradient algorithms for solving variational inequalities. J Global Optim 2020;78:91–106.
Hai TN. On gradient projection methods for strongly pseudomonotone variational inequalities without Lipschitz continuity. Opt Lett 2020;14:1177–91.
Hu X, Wang J. Global stability of a recurrent neural network for solving pseudomonotone variational inequalities. Proceedings of the IEEE International Symposium on Circuits and Systems, Island of Kos, Greece, May 21-24; 2006. p. 755–758.
Iiduka H. Fixed point optimization algorithm and its application to power control in CDMA data networks. Math Program 2012;133:227–242.
Khanh PD, Vuong PT. Modified projection method for strongly pseudomonotone variational inequalities. J Global Optim 2014;58:341–350.
Kien BT, Yao J-C, Yen ND. On the solution existence of pseudomonotone variational inequalities. J Glob Optim 2008;41:135–145.
Kim JK, Anh PN, Hai TN. The Bruck’s ergodic iteration method for the Ky Fan inequality over the fixed point set. Int J Comput Math 2017;94:2466–80.
Kinderlehrer D, Stampacchia G. An introduction to variational inequalities and their applications. New York: Academic Press; 1980.
Konnov IV. Combined relaxation methods for variational inequalities. Berlin: Springer; 2000.
Korpelevich GM. The extragradient method for finding saddle points and other problems. Ekon Mat Metody 1976;12:747–756.
Malitsky Y. Projected reflected gradient methods for monotone variational inequalities. SIAM J Optim 2015;25:502–520.
Nagurney A, Zhang D. Projected dynamical systemsand variational inequalities with applications. Dordrecht: Kluwer Academic; 1996.
Pappalardo M, Passacantando M. Stability for equilibrium problems: from variational inequalities to dynamical systems. J Optim Theory Appl 2002; 113:567–582.
Quoc TD, Muu LD, Nguyen VH. Extragradient algorithms extended to equilibrium problems. Optimization 2008;57:749–776.
Rockafellar RT. Convex analysis. Princeton, New Jersey: Princeton University Press; 1970.
Santos PSM, Scheimberg S. An inexact subgradient algorithm for equilibrium problems. Comput Appl Math 2011;30(1):91–107.
Solodov MV, Svaiter BF. A new projection method for monotone variational inequality problems. SIAM J Control Optim 1999;37:765–776.
Thuy LQ, Hai TN. A projected subgradient algorithm for bilevel equilibrium problems and applications. J Optim Theory Appl 2017;175:411–431.
Vuong PT, Strodiot JJ. A dynamical system for strongly pseudo-monotone equilibrium problems. J Optim Theory Appl 2020;185:767–784.
Vuong PT. 2019. The global exponential stability of a dynamical system for solving variational inequalities. https://doi.org/10.1007/s11067-019-09457-6.
Wang YJ, Xiu NH, Zhang JZ. Modified extragradient method for variational inequalities and verification of solution existence. J Optim Theory Appl 2003;119:167–183.
Yang J, Liu H. Strong convergence result for solving monotone variational inequalities in Hilbert space. Numer Algor 2019;80:741–752.
Acknowledgements
The author would like to thank the anonymous referees for their remarks which helped to significantly improve the paper.
Funding
This work is supported by Vietnam Ministry of Education and Training under grant number B2020-BKA-21-CTTH.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Hai, T.N. Dynamical Systems for Solving Variational Inequalities. J Dyn Control Syst 28, 681–696 (2022). https://doi.org/10.1007/s10883-021-09531-8
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10883-021-09531-8