Abstract
In this paper, we present a proximal split feasibility algorithm with an additional inertial extrapolation term for solving a proximal split feasibility problem under weaker conditions on the step sizes. The two convex and lower semi continuous objective functions are assumed to be non-smooth. Some applications to split inclusion problem and split equilibrium problem are given. We demonstrate the efficiency of the proposed algorithm with numerical experiments.
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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)
Attouch, H., Goudon, X., Redont, P.: The heavy ball with friction. I. The continuous dynamical system. Commun. Contemp. Math. 2(1), 1–34 (2000)
Attouch, H., Czarnecki, M.O.: Asymptotic control and stabilization of nonlinear oscillators with non-isolated equilibria. J. Differ. Equ. 179(1), 278–310 (2002)
Attouch, H., Peypouquet, J., Redont, P.: A dynamical approach to an inertial forward-backward algorithm for convex minimization. SIAM J. Optim. 24, 232–256 (2014)
Auslender, A., Teboulle, M., Ben-Tiba, S.: A logarithmic-quadratic proximal method for variational inequalities. Comput. Optim. Appl. 12(1–3), 31–40 (1999)
Baillon, J.B., Bruck, R.E., Reich, S.: On the asymptotic behavior of nonexpansive mappings and semigroups in Banach spaces. Houston J. Math. 4, 1–9 (1978)
Bauschke, H.H., Matoušková, E., Reich, S.: Projection and proximal point methods: convergence results and counterexamples. Nonlinear Anal. 56, 715–738 (2004)
Beck, A., Teboulle, M.: A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J. Imaging Sci. 2(1), 183–202 (2009)
Bello Cruz, J.Y., Shehu, Y.: An iterative method for split inclusion problems without prior knowledge of operator norms. J. Fixed Point Theory Appl. doi:10.1007/s11784-016-0387-8 (in press)
Blum, E., Oettli, W.: From optimization and variational inequalities to equilibrium problems. Math. Student 63, 123–145 (1994)
Bot, R.I., Csetnek, E.R., Hendrich, C.: Inertial Douglas-Rachford splitting for monotone inclusion. Appl. Math. Comput. 256, 472–487 (2015)
Bot, R.I., Csetnek, E.R.: An inertial alternating direction method of multipliers. Minimax Theory Appl. 1, 29–49 (2016)
Bot, R.I., Csetnek, E.R.: An inertial forward–backward–forward primal-dual splitting algorithm for solving monotone inclusion problems. Numer. Alg. 71, 519–540 (2016)
Br\(\acute{e}\)zis, H., Lions, P.L.: Produits infinis de resolvantes. Isr. J. Math. 29, 329–345 (1978)
Byrne, C.: A unified treatment of some iterative algorithms in signal processing and image reconstruction. Inverse Probl. 20(1), 103–120 (2004)
Byrne, C.: Iterative oblique projection onto convex sets and the split feasibility problem. Inverse Probl. 18(2), 441–453 (2002)
Byrne, C., Censor, Y., Gibali, A., Reich, S.: Weak and strong convergence of algorithms for the split common null point problem. J. Nonlinear Convex Anal. 13, 759–775 (2012)
Censor, Y., Gibali, A., Reich, S.: Algorithms for the split variational inequality problem. Numer. Algorithms 59, 301–323 (2012)
Censor, Y., Elfving, T.: A multiprojection algorithm using Bregman projections in a product space. Numer. Algorithms 8(2–4), 221–239 (1994)
Chen, G.H.G., Rockafellar, R.T.: Convergence rates in forward–backward splitting. SIAM J. Optim. 7, 421–444 (1997)
Chen, C., Chan, R.H., Ma, S., Yang, J.: Inertial proximal ADMM for linearly constrained separable convex optimization. SIAM J. Imaging Sci. 8, 2239–2267 (2015)
Combettes, P.L.: Iterative construction of the resolvent of a sum of maximal monotone operators. J. Convex Anal. 16, 727–748 (2009)
Combettes, P.L., Hirstoaga, S.A.: Equilibrium programming in Hilbert spaces. J. Nonlinear Convex Anal. 6, 117–136 (2005)
Combettes, P.L., Wajs, V.R.: Signal recovery by proximal forward–backward splitting. Multiscale Model. Simul. 4, 1168–1200 (2005)
Dang, Y., Gao, Y., Han, Y.: A perturbed projection algorithm with inertial technique for split feasibility problem. J. Appl. Math. Article ID 207323, 10 (2012)
Dunn, J.C.: Convexity, monotonicity, and gradient processes in Hilbert space. J. Math. Anal. Appl. 53, 145–158 (1976)
Goebel, K., Reich, S.: Uniform convexity, hyperbolic geometry, and nonexpansive mappings. Marcel Dekker, New York (1984)
Gibali, A., Moudafi, A.: From implicit convex feasibility to convex minimization. Trans. Math. Program. Appl. 5, 60–80 (2017)
G\(\ddot{u}\)ler, O.: On the convergence of the proximal point algorithm for convex minimization. SIAM J. Control. Optim. 29, 403-419 (1991)
Hendrickx, J.M., Olshevsky, A.: Matrix \(P\)-norms are NP-hard to approximate if \(P\ne 1,2,\infty \). SIAM. J. Matrix Anal. Appl. 31, 2802–2812 (2010)
Lions, P.L., Mercier, B.: Splitting algorithms for the sum of two nonlinear operators. SIAM J. Numer. Anal. 16, 964–979 (1979)
Lopez, G., Martin-Marquez, V., Wang, F., Xu, H.K.: Solving the split feasibility problem without prior knowledge of matrix norms. Inverse Probl. 28, 085004 (2012)
Lorenz, D.A., Pock, T.: An inertial forward–backward algorithm for monotone inclusions. J. Math. Imaging Vis. 51, 311–325 (2015)
Mainge, P.-E.: Convergence theorems for inertial KM-type algorithms. J. Comput. Appl. Math. 219(1), 223–236 (2008)
Mainge, P.-E.: Regularized and inertial algorithms for common fixed points of nonlinear operators. J. Math. Anal. Appl. 344, 876–887 (2008)
Martinet, B.: Regularisation dinequations variationnelles par approximations successives. Rev. Francaise Informat. Recherche. Operationnelle 4, 154–158 (1970)
Moudafi, A.: Split monotone variational inclusions. J. Optim. Theory Appl. 150, 275–283 (2011)
Moudafi, A., Thera, M.: Proximal and dynamical approaches to equilibrium problems. In: Lecture Notes in Economics and Mathematical Systems, vol. 477, pp. 187–201. Springer (1999)
Moudafi, A., Thakur, B.S.: Solving proximal split feasibility problems without prior knowledge of operator norms. Optim. Lett. 8(7), 2099–2110 (2014)
Ochs, P., Brox, T., Pock, T.: iPiasco: inertial proximal algorithm for strongly convex optimization. J. Math. Imaging Vision 53, 171–181 (2015)
Opial, Z.: Weak convergence of the sequence of successive approximations for nonexpansive mappings. Bull. Am. Math. Soc. 73, 591–597 (1967)
Passty, G.B.: Ergodic convergence to a zero of the sum of monotone operators in Hilbert space. J. Math. Anal. Appl. 72, 383–390 (1979)
Podilchuk, C.I., Mammone, R.J.: Image recovery by convex projections using a least-squares constraint. J. Opt. Soc. Am. A 7, 517–521 (1990)
Polyak, B.T.: Some methods of speeding up the convergence of iterarive methods. Zh. Vychisl. Mat. Mat. Fiz. 4, 1–17 (1964)
Qu, B., Xiu, N.: A note on the CQ algorithm for the split feasibility problem. Inverse Probl. 21(5), 1655–1665 (2005)
Rockafellar, R.T.: Monotone operators and the proximal point algorithm. SIAM J. Control. Optim. 14, 877–898 (1976)
Rockafellar, R.T.: On the maximality of sums of nonlinear monotone operators. Trans. Am. Math. Soc. 149, 75–88 (1970)
Rockafellar, R.T., Wets, R.: Variational Analysis. Springer, Berlin (1988)
Shehu, Y., Cai, G., Iyiola, O.S.: Iterative approximation of solutions for proximal split feasibility problems. Fixed Point Theory Appl. 2015, 123 (2015)
Shehu, Y., Ogbuisi, F.U.: An iterative method for solving split monotone variational inclusion and fixed point problems. RACSAM 110, 503–518 (2016)
Shehu, Y., Ogbuisi, F.U.: Convergence analysis for proximal split feasibility problems and fixed point problems. J. Appl. Math. Comp. 48, 221–239 (2015)
Takahashi, W., Wong, N.C., Yao, J.C.: Two generalized strong convergence theorems of Halperns type in Hilbert spaces and applications. Taiwan. J. Math. 16, 1151–1172 (2012)
Tseng, P.: A modified forward–backward splitting method for maximal monotone mappings. SIAM J. Control. Optim. 38, 431–446 (2000)
Wang, F., Cui, H.: On the contraction-proximal point algorithms with multi-parameters. J. Global Optim. 54, 485–491 (2012)
Xu, H.-K.: A variable Krasnosel’skii–Mann algorithm and the multiple-set split feasibility problem. Inverse Probl. 22(6), 2021–2034 (2006)
Yang, Q.: The relaxed CQ algorithm solving the split feasibility problem. Inverse Probl. 20(4), 1261–1266 (2004)
Yang, Q., Zhao, J.: Generalized KM theorems and their applications. Inverse Probl. 22(3), 833–844 (2006)
Yao, Y., Jigang, W., Liou, Y.-C.: Regularized methods for the split feasibility problem. Abstr. Appl. Anal. Article ID 140679, 13 (2012)
Yao, Z., Cho, S.Y., Kang, S.M., Zhu, L.-J.: A regularized algorithm for the proximal split feasibility problem. Abstr. Appl. Anal. Article ID 894272, 6 (2014)
Yao, Y., Yao, Z., Abdou, A.A., Cho, Y.J.: Self-adaptive algorithms for proximal split feasibility problems and strong convergence analysis. Fixed Point Theory Appl. 2015, 205 (2015)
Youla, D.: On deterministic convergence of iterations of related projection mappings. J. Vis. Commun. Image Represent 1, 12–20 (1990)
Zegeye, H., Shahzad, N.: Strong convergence theorems for a common zero of a finite family of maccretive mappings. Nonlinear Anal. 66, 1161–1169 (2007)
Zegeye, H., Shahzad, N.: Solutions of variational inequality problems in the set of fixed points of pseudocontractive mappings. Carpathian J. Math. 30, 257–265 (2014)
Acknowledgements
The research was carried out when the First Author was an Alexander von Humboldt Postdoctoral Fellow at the Institute of Mathematics, University of Wurzburg, Germany. He is grateful to the Alexander von Humboldt Foundation, Bonn, for the fellowship and the Institute of Mathematics, Julius Maximilian University of Wurzburg, Germany for the hospitality and facilities.
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Y. Shehu is currently an Alexander von Humboldt Postdoctoral Fellow at the Institute of Mathematics, University of Wurzburg, Germany.
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Shehu, Y., Iyiola, O.S. Convergence analysis for the proximal split feasibility problem using an inertial extrapolation term method. J. Fixed Point Theory Appl. 19, 2483–2510 (2017). https://doi.org/10.1007/s11784-017-0435-z
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DOI: https://doi.org/10.1007/s11784-017-0435-z