Abstract
In this paper we suggest a theoretical framework to study the generalized split null point problem (GSNPP) via a multi-step inertial based parallel hybrid projection algorithm in Hilbert spaces. The architecture and the suitable set of control conditions ensure the strong convergence of the algorithm. The possible applications of the algorithm are illustrated via various theoretical and numerical results. The key advantages of the algorithm are highlighted in comparison to the classical and non-inertial algorithm as well as (one-step and two-step) inertial variants of the algorithm for the GSNPP.
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Bauschke, H.H., Combettes, P.L.: Convex analysis and monotone operators theory in Hilbert spaces. In: Dilcher, K., Taylor, K. (eds.) CMS Books in Mathematics. Springer, New York (2011)
Bauschke, H.H., Matoušková, E., Reich, S.: Projection and proximal point methods: convergence results and counterexamples. Nonlinear Anal. 56, 715–738 (2004)
Combettes, P.L.: The convex feasibility problem in image recovery. Adv. Imaging Electron Phys. 95, 155–453 (1996)
Herman, G.T.: Fundamentals of Computerized Tomography: Image Reconstruction from Projections, 2nd ed. New York, NY, USA: Springer, (2009)
Mishra, L.N., On existence and behavior of solutions to some nonlinear integral equations with applications, Ph.D Thesis, National Institute of Technology, Silchar 788 010, Assam, India, (2017)
Mishra, V.N., Some problems on approximations of functions in Banach spaces, Ph.D Thesis, Indian Institute of Technology, Roorkee 247 667, Uttarakhand, India, (2007)
Mishra, V.N., Mishra, L.N.: Trigonometric approximation of signals (Functions) in Lpnorm. Int. J. Contemp. Math. Sci. 19(7), 909–918 (2012)
Sharma, N., Mishra, L.N., Mishra, V.N., Pandey, S.: Solution of delay differential equation via \(N^v_1\) iteration algorithm. Eur. J. Pure Appl. Math. 13(5), 1110–1130 (2020)
Sharma, N., Mishra, L.N., Mishra, V.N., Almusawa, H.: Endpoint approximation of standard three-step multi-valued iteration algorithm for nonexpansive mappings. Appl. Math. Inf. Sci. 15(1), 73–81 (2021). https://doi.org/10.18576/amis/150109
Sharma, N., Mishra, L.N., Mishra, S.N., Mishra, V.N.: Empirical study of new iterative algorithm for generalized nonexpansive operators. J. Math. Comput. Sci. 25(3), 284–295 (2022)
Censor, Y., Elfving, T.: A multiprojection algorithm using Bregman projections in a product space. Numer. Algorithms 8, 221–239 (1994)
Byrne, C.: A unified treatment of some iterative algorithms in signal processing and image reconstruction. Inverse Probl. 20(1), 103–120 (2004)
Censor, Y., Elfving, T., Kopf, N., Bortfeld, T.: The multiple-sets split feasibility problem and its applications. Inverse Probl. 21, 2071–2084 (2005)
Censor, Y., Gibali, A., Reich, S.: Algorithms for the split variational inequality problem. Numer. Algorithms 59, 301–323 (2012)
Takahashi, S., Takahashi, W.: The split common null point problem and the shrinking projection method in Banach spaces. Optimization 65, 281–287 (2016)
Reich, S., Tuyen, T.M.: Iterative methods for solving the generalized split common null point problem in Hilbert spaces. Optimization 69, 1013–1038 (2019)
Reich, S., Tuyen, T.M.: Parallel iterative methods for solving the generalized split common null point problem in Hilbert spaces. RACSAM 114, 180 (2020)
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)
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)
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)
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)
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. (2021). https://doi.org/10.1002/mma.7405
Arfat, Y., Kumam, P., Khan, M.A.A., Ngiamsunthorn, P.S.: Parallel shrinking inertial extragradient approximants for pseudomonotone equilibrium, fixed point and generalized split null point problem. Ricerche Mat. (2021). https://doi.org/10.1007/s11587-021-00647-4
Arfat, Y., Kumam, P., Khan, M.A.A., Ngiamsunthorn, P.S.: Shrinking approximants for fixed point problem and generalized split null point problem in Hilbert spaces. Optim. Lett. (2021). https://doi.org/10.1007/s11590-021-01810-4
Mainge, P.E.: Convergence theorems for inertial KM-type algorithms. J. Comput. Appl. Math. 219, 223–236 (2008)
Dong, Q.L., Cho, Y.J., Rassias, T.M.: General inertial Mann algorithms and their convergence analysis for nonexpansive mappings. In: Rassias, T.M. (ed.) Applications of Nonlinear Analysis, pp. 175–191. Springer, Berlin (2018)
Ortega, J.M., Rheinboldt, W.C.: Iterative Solution of Nonlinear Equations in Several Variables. Academic, New York (1970)
Liang, J.W., Convergence rates of first-order operator splitting methods, In: Optimization and Control [math.OC]. Normandie University; GREYC CNRS UMR 6072, (2016)
Dong, Q.L., Huang, J., Li, X.H., Cho, Y.J., Rassias, Th.M.: MiKM: Multi-step inertial Krasnosel’skiǐ-Mann algorithm and its applications. J. Glob. Optim. 73(4), 801–824 (2019)
Dong, Q.L., He, S., Liu, X.: Rate of convergence of Mann, Ishikawa and Noor iterations for continuous functions on an arbitrary interval. J. Inequal. Appl. 2013, 269 (2013)
Dong, Q.L., He, S., Rassias, M.T.: General splitting methods with linearization for the split feasibility problem. J. Glob. Optim. 79, 813–836 (2021)
Goebel, K.: Iteration processes for nonexpansive mappings. In: Singh, S.P., Thomeier, S. (eds.) Topological Methods in Nonlinear Functional Analysis, Contemporary Mathematics, vol. 21, pp. 115–123. American Math. Soc, Providence (1983)
He, S., Yang, C., Duan, P.: Realization of the hybrid method for Mann iterations. Appl. Math. Comput. 217(8), 4239–4247 (2010)
Agarwal, R.P., O’Regan, D., Sahu, D.R.: Fixed Point Theory for Lipschitzian-type Mappings with Applications. Springer, New York (2009)
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)
Tibshirani, R.: Regression shrinkage and selection via lasso. J. R. Statist. Soc. Ser. B 58, 267–288 (1996)
Duchi, J., Shalev-Shwartz, S., Singer, Y. and Chandra, T.: Efficient projections onto the \(l_{1}\)-ball for learning in high dimensions, In: Proceedings of the 25th International Conference on Machine Learning, Helsinki, Finland (2008)
Engl, H.W., Hanke, M., Neubauer, A.: Regularization of Inverse Problems. Kluwer Academic Publishers, Dordrecht (2000)
Vogel, C.R.: Computational Methods for Inverse Problems. SIAM, Philadelphia (2002)
Acknowledgements
The authors wish to thank the anonymous referees for their comments and suggestions. The authors (Y. Arfat and P. Kumam) acknowledge the financial support provided by the Center of Excellence in Theoretical and Computational Science (TaCS-CoE), KMUTT. Moreover, this project is funded by National Council of Thailand (NRCT) under Research Grants for Talented Mid-Career Researchers (Contract no. N41A640089). The author Y. 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).
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Arfat, Y., Kumam, P., Khan, M.A.A. et al. Multi-inertial parallel hybrid projection algorithm for generalized split null point problems. J. Appl. Math. Comput. 68, 3179–3198 (2022). https://doi.org/10.1007/s12190-021-01660-4
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DOI: https://doi.org/10.1007/s12190-021-01660-4
Keywords
- Multi-step inertial method
- Parallel hybrid projection algorithm
- Strong convergence
- Nonexpansive operator
- Generalized split null point problem