Abstract
The subgradient extragradient method for solving the variational inequality (VI) problem, which is introduced by Censor et al. (J. Optim. Theory Appl. 148, 318–335, 2011), replaces the second projection onto the feasible set of the VI, in the extragradient method, with a subgradient projection onto some constructible half-space. Since the method has been introduced, many authors proposed extensions and modifications with applications to various problems. In this paper, we introduce a modified subgradient extragradient method by improving the stepsize of its second step. Convergence of the proposed method is proved under standard and mild conditions and primary numerical experiments illustrate the performance and advantage of this new subgradient extragradient variant.
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Anh, P.N., An, L.T.H.: The subgradient extragradient method extended to equilibrium problems. Optimization 64, 225–248 (2015)
Antipin, A.S.: On a method for convex programs using a symmetrical modification of the Lagrange function. Ekon. Mat. Metody 12, 1164–1173 (1976)
Baiocchi, C., Capelo, A.: Variational and Quasivariational Inequalities. Applications to Free Boundary Problems. Wiley, New York (1984)
Cai, X., Gu, G., He, B.: On the O(1/t) convergence rate of the projection and contraction methods for variational inequalities with Lipschitz continuous monotone operators. Comput. Optim. Appl. 57, 339–363 (2014)
Bauschke, H.H., Combettes, P.L.: Convex Analysis and Monotone Operator Theory in Hilbert Spaces. Springer, Berlin (2011)
Censor, Y., Gibali, A., Reich, S.: The subgradient extragradient method for solving variational inequalities in Hilbert space. J. Optim. Theory Appl. 148, 318–335 (2011)
Censor, Y., Gibali, A., Reich, S.: Strong convergence of subgradient extragradient methods for the variational inequality problem in Hilbert space. Optim. Method Soft. 6, 827–845 (2011)
Censor, Y., Gibali, A., Reich, S.: Extensions of Korpelevich’s extragradient method for solving the variational inequality problem in Euclidean space. Optimization 61, 1119–1132 (2012)
Dang, V.H.: New subgradient extragradient methods for common solutions to equilibrium problems. Comput. Optim. Appl. 67, 1–24 (2017)
Dang, V.H.: Halpern subgradient extragradient method extended to equilibrium problems. Racsam Rev. R. Acad. A. 111, 1–18 (2016)
Denisov, S.V., Semenov, V.V., Chabak, L.M.: Convergence of the modified extragradient method for variational inequalities with non-Lipschitz operators. Cybern. Syst. Anal. 51, 757–765 (2015)
Dong, Q.L., Lu, Y.Y., Yang, J.: The extragradient algorithm with inertial effects for solving the variational inequality. Optimization 65, 2217–2226 (2016)
Dong, Q.L., Cho, Y.J., Zhong, L., Rassias, T.M.: Inertial projection and contraction algorithms for variational inequalities. J. Global Optim. https://doi.org/10.1007/s10898-017-0506-0 (2018)
Goebel, K., Reich, S.: Uniform Convexity, Hyperbolic Geometry, and Nonexpansive Mappings. Marcel Dekker, New York and Basel (1984)
Goldstein, A.A.: Convex programming in Hilbert space. Bull. Am. Math. Soc. 70, 709–710 (1964)
Facchinei, F., Pang, J.S.: Finite-Dimensional Variational Inequalities and Complementarity Problems, vol. I and II. Springer, New York (2003)
Fang, C., Chen, S.: A subgradient extragradient algorithm for solving multi-valued variational inequality. Appl. Math. Comput. 229, 123–130 (2014)
Harker, P.T., Pang, J.-S.: A damped-Newton method for the linear complementarity problem. In: Allgower, G., Georg, K. (eds.) Computational Solution of Nonlinear Systems of Equations, Lectures in Appl. Math, vol. 26, pp 265–284. AMS, Providence (1990)
He, S., Wu, T.: A modified subgradient extragradient method for solving monotone variational inequalities. J. Inequal. Appl. 2017, 89 (2017)
Hieu, D.V., Anh, P.K., Muu, L.D.: Modified hybrid projection methods for finding common solutions to variational inequality problems. Comput. Optim. Appl. 66, 75–96 (2017)
Hieu, D.V., Thong, D.V.: New extragradient-like algorithms for strongly pseudomonotone variational inequalities. J. Glob. Optim. https://doi.org/10.1007/s10898-017-0564-3 (2018)
He, B.S.: A class of projection and contraction methods for monotone variational inequalities. Appl. Math. Optim. 35, 69–76 (1997)
He, S., Yang, C., Duan, P.: Realization of the hybrid method for Mann iterations. Appl. Math. Comput. 217, 4239–4247 (2010)
Khobotov, E.N.: Modification of the extragradient method for solving variational inequalities and certain optimization problems. USSR Comput. Math. Math. Phys. 27, 120–127 (1987)
Korpelevich, G.M.: The extragradient method for finding saddle points and other problems. Ekon. Mate. Metody 12, 747–756 (1976)
Kraikaew, R., Saejung, S.: Strong convergence of the halpern subgradient extragradient method for solving variational inequalities in Hilbert spaces. J. Optimiz. Theory App. 163, 399–412 (2014)
Levitin, E.S., Polyak, B.T.: Constrained minimization problems. USSR Comput. Math. Math. Phys. 6, 1–50 (1966)
Malitsky, Y.V.: Projected reflected gradient method for variational inequalities. SIAM J. Optim. 25, 502–520 (2015)
Malitsky, Y.V., Semenov, V.V.: A hybrid method without extrapolation step for solving variational inequality problems. J. Glob. Optim. 61(1), 193–202 (2015)
Malitsky, Y.V., Semenov, V.V.: An extragradient algorithm for monotone variational inequalities. Cybernet. Syst. Anal. 50, 271–277 (2014)
Noor, M.A.: Some developments in general variational inequalities. Appl. Math. Comput. 152, 199–277 (2004)
Popov, L.D.: A modification of the Arrow-Hurwicz method for searching for saddle points. Mat. Zametki 28, 777–784 (1980)
Rockafellar, R.T.: Monotone operators and the proximal point algorithm. SIAM J. Control Optim. 14(5), 877–898 (1976)
Solodov, M.V., Svaiter, B.F.: A new projection method for variational inequality problems. SIAM J. Control Optim. 37, 765–776 (1999)
Sun, D.F.: A class of iterative methods for solving nonlinear projection equations. J. Optim. Theory Appl. 91, 123–140 (1996)
Tseng, P.: A modified forward-backward splitting method for maximal monotone mappings. SIAM J. Control Optim. 38, 431–446 (2000)
Vinh, N.T., Hoai, P.T.: Some subgradient extragradient type algorithms for solving split feasibility and fixed point problems. Math. Method Appl. Sci. 39, 3808–3823 (2016)
Yang, Q.: On variable-step relaxed projection algorithm for variational inequalities. J. Math. Anal. Appl. 302, 166–179 (2005)
Yao, Y., Marino, G., Muglia, L.: A modified Korpelevich’s method convergent to the minimum-norm solution of a variational inequality. Optimization 63, 559–569 (2014)
Zhou, H., Zhou, Y., Feng, G.: Iterative methods for solving a class of monotone variational inequality problems with applications. J. Inequal. Appl. 2015, 68 (2015)
Zeidler, E.: Nonlinear Functional Analysis and Its Applications III: Variational Methods and Optimization. Springer, New York (1985)
Acknowledgements
The authors express their thanks to the two anonymous referees, whose careful readings and suggestions led to improvements in the presentation of the results.
Funding
The first author is supported by National Natural Science Foundation of China (No. 71602144) and Open Fund of Tianjin Key Lab for Advanced Signal Processing (No. 2017ASP-TJ03). The third author is supported by the EU FP7 IRSES program STREVCOMS, grant no. PIRSES-GA-2013-612669.
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Dong, QL., Jiang, D. & Gibali, A. A modified subgradient extragradient method for solving the variational inequality problem. Numer Algor 79, 927–940 (2018). https://doi.org/10.1007/s11075-017-0467-x
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DOI: https://doi.org/10.1007/s11075-017-0467-x
Keywords
- Variational inequality
- Extragradient method
- Subgradient extragradient method
- Projection and contraction method