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Tytuł artykułu

An extragradient inertial algorithm for solving split fixed-point problems of demicontractive mappings, with equilibrium and variational inequality problems

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The purpose of this article is to study and analyse a new extragradient-type algorithm with an inertial extrapolation step for solving split fixed-point problems for demicontractive mapping, equilibrium problem, and pseudomonotone variational inequality problem in real Hilbert spaces. One of the advantages of the proposed algorithm is that a strong convergence result is achieved without a prior estimate of the Lipschitz constant of the cost operator, which is very difficult to find. In addition, the stepsize is generated at each iteration by some simple computations, which allows it to be easily implemented without the prior knowledge of the Lipschitz constant of the cost operator. Some numerical experiments are reported to show the performance and behaviour of the sequence generated by our algorithm. The obtained results in this article extend and improve many related recent results in this direction in the literature.
Wydawca
Rocznik
Strony
506--527
Opis fizyczny
Bibliogr. 37 poz., tab., wykr.
Twórcy
  • School of Mathematics, University of the Witwatersrand, Private Bag 3, Johannesburg 2050, South Africa
  • Department of Mathematics, University of Eswatini, Private Bag 4, Kwaluseni, Eswatini
  • Department of Mathematics and Applied Mathematics, Sefako Makgatho Health Sciences University, P.O. Box 94 Medunsa 0204, Pretoria, South Africa
  • Department of Mathematics and Applied Mathematics, Sefako Makgatho Health Sciences University, P.O. Box 94 Medunsa 0204, Pretoria, South Africa
  • Federal University of Agriculture, Abeokuta, Nigeria
Bibliografia
  • [1] J. P. Aubin and I. Ekeland, Applied Nonlinear Analysis, Willey, New York, 1984.
  • [2] C. Baiocchi and A. Capelo, Variational and Quasivariational Inequalities; Applications to Free Boundary Problems, Willey, New York, 1984.
  • [3] R. Glowinski, J.-L. Lions, and R. Trémolières, Numerical Analysis of Variational Inequalities, Elsevier, North-Holland, Amsterdam, 1981.
  • [4] E. N. Khobotov, Modification of the extra gradient method for solving variational inequalities and certain optimization problems, USSR Comput. Math. Phys. 27 (1989), 120–127.
  • [5] D. Kinderlehrer and G. Stampacchia, An Introduction to Variational Inequalities and their Applications, Academic Press, New York, 1980.
  • [6] I. V. Konnov, Combined Relaxation Methods for Variational Inequalities, Springer-Verlag, Berlin, 2001.
  • [7] P. Marcotte, Applications of Khobotov’s algorithm to variational and network equilibrium problems, Inf. Syst. Oper. Res. 29 (1991), 258–270.
  • [8] F. Facchinei and J.-S. Pang, Finite-Dimensional Variational Inequalities and Complementary Problems, Vol II, Springer Series in Operations Research, Springer, New York, 2003.
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  • [10] G. M. Korpelevich, The extragradient method for finding saddle points and other problems, Ekonomika Mat. Metody 12 (1976), 747–756.
  • [11] A. Gibali, Two simple relaxed perturbed extragradient methods for solving variational inequalities in Euclidean spaces, J. Nonlinear Var. Anal. 2 (2018), 49–61.
  • [12] B. S. He, Z.-H. Yang, and X.-M. Yuan, An approximate proximal-extragradient-type method for monotone variational inequalities, J. Math. Anal. Appl. 300 (2004), 362–374.
  • [13] A. N. Iusem and B. F. Savaiter, A variant of Korpelevich’s method for variational inequalities with a new search strategy, Optimization 42 (1997), 309–321.
  • [14] N. Nadezhkina and W. Takahashi, Weak convergence theorem by an extragradient method for nonexpansive mappings and monotone mappings, J. Optim. Theory Appl. 128 (2006), 191–201.
  • [15] M. V. Solodov and B. F. Svaiter, A new projection method for variational inequality problems, SIAM J. Control Optim. 37 (1999), 765–776.
  • [16] P. Tseng, A modified forward-backward splitting method for maximal monotone mappings, SIAM J. Control Optim. 38 (2000), 431–446.
  • [17] Y. Yao, G. Marino, and L. Muglia, A modified Korpelevich’s method convergent to minimum-norm solution of a variational inequality, Optimization 63 (2014), 559–569.
  • [18] Y. Censor, A. Gibali, and S. Reich, The subgradient extragradient method for solving variational inequalities in Hilbert space, J. Optim. Theory Appl. 148 (2011), 318–335.
  • [19] Y. Censor, A. Gibali, and S. Reich, Strong convergence of subgradient extragradient methods for the variational inequality problem in Hilbert space, Optim. Meth. Softw. 26 (2011), 827–845.
  • [20] Y. Censor, A. Gibali, and S. Reich, Extensions of Korpelevichas extragradient method for the variational inequality problem in Euclidean space, Optimization 61 (2012), 1119–1132.
  • [21] A. Gibali, A new non-Lipschitzian projection method for solving variational inequalities in Euclidean spaces, J. Nonlinear Anal. Optim. 6 (2015), 41–51.
  • [22] Y. Shehu and O. S. Iyiola, Strong convergence result for monotone variational inequalities, Numer. Algor. 76 (2017), 259–282, DOI: https://doi.org/10.1007/s11075-016-0253-1.
  • [23] Y. Censor and Y. Segal, The split common fixed-point for directed operators, J. Convex Anal. 16 (2009), 587–600.
  • [24] F. Alvarez and H. Attouch, An inertial proximal method for monotone operators via discretization of nonlinear oscillator with damping, Set-Valued Anal. 9 (2001), 3–11.
  • [25] E. Blum and W. Oettli, From optimization and variational inequalities to equilibrium problems, Math. Stud. 63 (1993), 1–23.
  • [26] C. C. Okeke and O. T. Mewomo, On split equilibrium problem, variational inequality problem and fixed-point problem for multi-valued mappings, Ann. Acad. Rom. Sci. Ser. Math. Appl. 9 (2017), no. 2, 223–248.
  • [27] C. C. Okeke and O. T. Mewomo, Regularized gradient-projection algorithm for solving one-parameter nonexpansive semigroup, constrained convex minimization and generalized equilibrium problems, Buletinul Academiei de Ştiinţe a Republicii Moldova Matematica 3 (2018), no. 88, 32–56.
  • [28] Y. Shehu and F. U. Ogbuisi, An iterative algorithm for approximating a solution of split common fixed-point problem for demicontractive maps, Dynam. Cont. Dis. Ser. B 23 (2012), 225–240.
  • [29] A. Hanjing and S. Suantai, Hybrid inertial accelerated algorithms for split fixed-point problems of demicontractive mappings and equilibrium problems, Numer. Algor. 85 (2020), 1051–1073, DOI: https://doi.org/10.1007/s11075-019-00855-y.
  • [30] J. Yang, H. Liu, and Z. Liu, Modified subgradient extragradient algorithms for solving monotone variational inequalities, Optimization 67 (2018), no. 12, 2247–2258.
  • [31] P. L. Combettes and A. Hirostoaga, Equilibrium programming in Hilbert spaces, J. Nonlinear Convex Anal. 6 (2005), 117–136.
  • [32] I. Yamada, The hybrid steepest-descent method for variational inequalities problems over the intersection of the fixed-point sets of nonexpansive mappings, in: D. Butnariu, Y. Censor, S. Reich (eds), Inherently Parallel Algorithms in Feasibility and Optimization and Their Applications, The Netherlands, North-Holland: Amsterdam, 2001, pp. 473–504.
  • [33] H. Cui and F. Wang, Iterative methods for the split common fixed-point problem in a Hilbert spaces, Fixed Point Theory Appl. 2014 (2014), 78.
  • [34] R. W. Cottle and J. C. Yao, Pseudomonotone of complementarity problems in Hilbert space, J. Optim Theory Appl. 75 (1992), 281–295.
  • [35] H. K. Xu, Iterative algorithms for nonlinear operators, J. Lond. Math. Soc. 66 (2002), 1–17.
  • [36] P. E. Maingé, Strong convergence of projected subgradient methods for nonsmooth and nonstrictly convex minimization, Set-Valued Anal. 16 (2008), 899–912.
  • [37] A. Moudafi, The split common fixed-point problem for demicontractive mappings, Inverse Probl. 26 (2010), 587–600.
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ec29645a-49b3-412d-b441-fdacfe8173c3
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