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Parallel shrinking inertial extragradient approximants for pseudomonotone equilibrium, fixed point and generalized split null point problem

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Abstract

This paper provides an iterative construction for a common solution associated with the pseudomonotone equilibrium problems, fixed point problem of a finite family \(\eta \)-demimetric operators and the generalized split null point problem in Hilbert spaces. The sequence of approximants is a variant of the parallel shrinking extragradient algorithm with the inertial effect converging strongly to the optimal common solution under suitable set of control conditions. The viability of the approximants is demonstrated for various theoretical as well as numerical results. The results presented in this paper improve various existing results in the current literature.

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References

  1. Alvarez, F., Attouch, H.: An inertial proximal method for monotone operators via discretization of a nonlinear oscillator with damping. Set Valued Anal. 9, 3–11 (2001)

    Article  MathSciNet  Google Scholar 

  2. Anh, P.N.: A hybrid extragradient method for pseudomonotone equilibrium problems and fixed point problems. Bull. Malays. Math. Sci. Sco. 36(1), 107–116 (2013)

    MathSciNet  Google Scholar 

  3. Arfat, Y., Kumam, P., Ngiamsunthorn, P.S., Khan, M.A.A.: An inertial based forward-backward algorithm for monotone inclusion problems and split mixed equilibrium problems in Hilbert spaces. Adv. Differ. Equ. 2020, 453 (2020)

    Article  MathSciNet  Google Scholar 

  4. Arfat, Y., Kumam, P., Ngiamsunthorn, P.S., Khan, M.A.A., Sarwar, H., Din, H.F.: Approximation results for split equilibrium problems and fixed point problems of nonexpansive semigroup in Hilbert spaces. Adv. Differ. Equ. 2020, 512 (2020)

    Article  MathSciNet  Google Scholar 

  5. Arfat, Y., Kumam, P., Khan, M.A.A., Ngiamsunthorn, P.S., Kaewkhao, A.: An inertially constructed forward-backward splitting algorithm in Hilbert spaces. Adv. Differ. Equ. 2021, 124 (2021)

    Article  MathSciNet  Google Scholar 

  6. Arfat, Y., Kumam, P., Ngiamsunthorn, P.S., Khan, M.A.A.: An accelerated projection based parallel hybrid algorithm for fixed point and split null point problems in Hilbert spaces. Math. Meth. Appl. Sci. 1–19 (2021). https://doi.org/10.1002/mma.7405

  7. Bauschke, H.H., Combettes, P.L.: Convex Analysis and Monotone Operators Theory in Hilbert Spaces. CMS Books in Mathematics, Springer, New York (2011)

    Book  Google Scholar 

  8. Bauschke, H.H., Matoušková, E., Reich, S.: Projection and proximal point methods: Convergence results and counterexamples. Nonlinear Anal. 56, 715–738 (2004)

    Article  MathSciNet  Google Scholar 

  9. Bianchi, M., Schaible, S.: Generalized monotone bifunctions and equilibrium problems. J. Optim. Theory. Appl. 90, 31–43 (1996)

    Article  MathSciNet  Google Scholar 

  10. Blum, E., Oettli, W.: From optimization and variational inequalities to equilibrium problems. Math. Stud. 63, 123–145 (1994)

    MathSciNet  Google Scholar 

  11. Browder, F.E., Petryshyn, W.V.: Construction of fixed points of nonlinear mappings in Hilbert spaces. J. Math. Anal. Appl. 20, 197–228 (1967)

    Article  MathSciNet  Google Scholar 

  12. Byrne, C.: A unified treatment of some iterative algorithms in signal processing and image reconstruction. Inverse Probl. 20(1), 103–120 (2004)

    Article  ADS  MathSciNet  Google Scholar 

  13. Censor, Y., Elfving, T.: A multiprojection algorithm using Bregman projections in a product space. Numer. Algorithms 8, 221–239 (1994)

    Article  ADS  MathSciNet  Google Scholar 

  14. Censor, Y., Elfving, T., Kopf, N., Bortfeld, T.: The multiple-sets split feasibility problem and its applications. Inverse Probl. 21, 2071–2084 (2005)

    Article  ADS  MathSciNet  Google Scholar 

  15. Censor, Y., Gibali, A., Reich, S.: Algorithms for the split variational inequality problem. Numer. Algorithms 59, 301–323 (2012)

    Article  MathSciNet  Google Scholar 

  16. Combettes, P.L.: The convex feasibility problem in image recovery. Adv. Imaging Electron Phys. 95, 155–453 (1996)

    Article  Google Scholar 

  17. Cui, H., Su, M.: On sufficient conditions ensuring the norm convergence of an iterative sequence to zeros of accretive operators. Appl. Math. Comput. 258, 67–71 (2015)

    MathSciNet  Google Scholar 

  18. Duchi, J., Shalev-Shwartz, S., Singer, Y., Chandra, T.: Efficient projections onto the l1-ball for learning in high dimensions, In: Proceedings of the 25th International Conference on Machine Learning, Helsinki, Finland (2008)

  19. Engl, H.W., Hanke, M., Neubauer, A.: Regularization of Inverse Problems. Kluwer Academic Publishers, Dordrecht (2000)

    Google Scholar 

  20. Gibali, A.: A new split inverse problem and an application to least intensity feasible solutions. Pure. Appl. Func. Anal. 2, 243–258 (2017)

    MathSciNet  Google Scholar 

  21. Gibali, A., Reich, S., Zalas, R.: Outer approximation methods for solving variational inequalities in Hilbert space. Optimization 66, 417–437 (2017)

    Article  MathSciNet  Google Scholar 

  22. Hieu, D.V., Muu, L.D., Anh, P.K.: Parallel hybrid extragradient methods for pseudomonotone equilibrium problems and nonexpansive mappings. Numer. Algorithms 73, 197–217 (2016)

    Article  MathSciNet  Google Scholar 

  23. Herman, G.T.: Image reconstruction from projections: the fundamentals of computerized tomography. Computer Sci. Appl. Math. (1980) (Academic Press, New York)

  24. Khan, M.A.A.: Convergence characteristics of a shrinking projection algorithm in the sense of Mosco for split equilibrium problem and fixed point problem in Hilbert spaces. Linear Nonlinear Anal. 3, 423–435 (2017)

    MathSciNet  Google Scholar 

  25. Khan, M.A.A., Arfat, Y., Butt, A.R.: A shrinking projection approach to solve split equilibrium problems and fixed point problems in Hilbert spaces. UPB. Sci. Bull. Ser. A 80(1), 33–46 (2018)

    Google Scholar 

  26. Korpelevich, G.M.: The extragradient method for finding saddle points and other problems. Ekon. Mat. Metody 12, 747–756 (1976)

    MathSciNet  Google Scholar 

  27. Moudafi, A., Oliny, M.: Convergence of a splitting inertial proximal method for monotone operators. J. Comput. Appl. Math. 155, 447–454 (2003)

    Article  ADS  MathSciNet  Google Scholar 

  28. Polyak, B..T.: Some methods of speeding up the convergence of iteration methods. U.S.S.R. Comput. Math. Math. Phys. 4(5), 1–17 (1964)

  29. Quoc, T.D., Muu, L.D., Hien, N.V.: Extragradient algorithms extended to equilibrium problems. Optimization 57, 749–776 (2008)

    Article  MathSciNet  Google Scholar 

  30. Reich, S., Tuyen, T.M.: Iterative methods for solving the generalized split common null point problem in Hilbert spaces. Optimization 69, 1013–1038 (2019)

    Article  MathSciNet  Google Scholar 

  31. Reich, S., Tuyen, T.M.: Parallel iterative methods for solving the generalized split common null point problem in Hilbert spaces. RACSAM 114, 180 (2020)

    Article  MathSciNet  Google Scholar 

  32. Tada, A., Takahashi, W.: Strong Convergence Theorem for an Equilibrium Problem and a Nonexpansive Mapping. Yokohama Publishers, Yokohama, Nonlinear Anal. Conv. Anal (2006)

    Google Scholar 

  33. Takahashi, W.: Nonlinear Functional Analysis: Fixed Point Theory and its Applications. Yokohama Publishers, Yokohama (2000)

    Google Scholar 

  34. Takahashi, S., Takahashi, W.: The split common null point problem and the shrinking projection method in Banach spaces. Optimization 65, 281–287 (2016)

    Article  MathSciNet  Google Scholar 

  35. Takahashi, W.: The split common fixed point problem and the shrinking projection method in Banach spaces. J. Conv. Anal. 24, 1015–1028 (2017)

    MathSciNet  Google Scholar 

  36. Takahashi, W.: Strong convergence theorem for a finite family of demimetric mappings with variational inequality problems in a Hilbert space. Japan J. Indust. Appl. Math. 34, 41–57 (2017)

    Article  MathSciNet  Google Scholar 

  37. Takahashi, W.: Weak and strong convergence theorems for new demimetric mappings and the split common fixed point problem in Banach spaces. Numer. Funct. Anal. Optim. 39(10), 1011–1033 (2018)

    Article  MathSciNet  Google Scholar 

  38. Takahashi, W., Wen, C.F., Yao, J.C.: The shrinking projection method for a finite family of demimetric mappings with variational inequality problems in a Hilbert space. Fixed Point Theory 19, 407–419 (2018)

    Article  MathSciNet  Google Scholar 

  39. Tiel, J.: Convex Analysis. An Introductory Text. Wiley, Chichester (1984)

    Google Scholar 

  40. Vogel, C.R.: Computational Methods for Inverse Problems. SIAM, Philadelphia (2002)

    Book  Google Scholar 

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Acknowledgements

The authors wish to thank the anonymous referees for their comments and suggestions. The authors (Y. Arfat, P. kumam and P. S. Ngiamsunthorn) acknowledge the financial support provided by the Center of Excellence in Theoretical and Computational Science (TaCS-CoE), KMUTT. Moreover, this research project is supported by Thailand Science Research and Innovation (TSRI) Basic Research Fund: Fiscal year 2021 under project number 64A306000005. The author Yasir Arfat was supported by the Petchra Pra Jom Klao Ph.D Research Scholarship from King Mongkut’s University of Technology Thonburi, Thailand (Grant No.16/2562). Also, this project was funded by National Council of Thailand (NRCT) under Research Grants for Talented Mid-Career Researchers (Contract no. N41A640089).

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Correspondence to Poom Kumam or Muhammad Aqeel Ahmad Khan.

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Arfat, Y., Kumam, P., Khan, M.A.A. et al. Parallel shrinking inertial extragradient approximants for pseudomonotone equilibrium, fixed point and generalized split null point problem. Ricerche mat 73, 937–963 (2024). https://doi.org/10.1007/s11587-021-00647-4

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