Abstract
In this paper, we propose two new multiple-sets split feasibility problem models and new solution methods. The first model is more separable than the original one, which enables us to apply a modified alternating direction method with parallel steps to solve it. Then, to overcome the difficulty of computing projections onto the constraint sets, a special version of this modified method with the strategy of projection onto half-space is given. The second model consists in finding a least Euclidean norm solution of the multiple-sets split feasibility problem, for which we provide another modified alternating direction method. Numerical results presented at the last show the efficiency of our methods.
Similar content being viewed by others
References
Censor, Y., Bortfeld, T., Martin, B., Trofimov, A.: A unified approach for inversion problems in intensity-modulated radiation therapy. Phys. Med. Biol. 51, 2353–2365 (2006)
Censor, Y., Elfving, T., Kopf, N., Bortfeld, T.: The multiple-sets split feasibility problem and its applications for inverse problems. Inverse Probl. 21, 2071–2084 (2005)
Censor, Y., Motova, A., Segal, A.: Perturbed projections and subgradient projections for the multiple-sets split feasibility problem. J. Math. Anal. Appl. 327, 1244–1256 (2007)
Zhao, J.L., Yang, Q.Z.: Self-adaptive projection methods for the multiple-sets split feasibility problem. Inverse Probl. 27, 035009 (2011)
Zhang, W.X., Han, D.R., Li, Z.B.: A self-adaptive projection method for solving the multiple-sets split feasibility problem. Inverse Probl. 25, 115001 (2009)
Li, Z.B., Han, D.R., Zhang, W.X.: A self-adaptive projection-type method for nonlinear multiple-sets split feasibility problem. Inverse Probl. Sci. Eng. 21, 155–170 (2013)
Zhang, W.X., Han, D.R., Yuan, X.M.: An efficient simultaneous method for the constrained multiple-sets split feasibility problem. Comput. Optim. Appl. 52, 825–843 (2012)
Qu, B., Xiu, N.H.: A note on the CQ algorithm for the split feasibility problem. Inverse Probl. 21, 1655–1665 (2005)
Yang, Q.Z.: The relaxed CQ algorithm solving the split feasibility problem. Inverse Probl. 20, 1261–1266 (2004)
Choi, B., Deasy, J.O.: The generalized equivalent uniform dose function as a basis for intensity-modulated treatment planning. Phys. Med. Biol. 47, 3579–3589 (2002)
Han, D.R., Yuan, X.M.: A note on the alternating direction method of multipliers. J. Optim. Theory Appl. 155, 227–238 (2012)
He, B.S., Yuan, X.M.: Linearized alternating direction method with Gaussian back substitution for separable convex programming. Numer. Algebra Control Optim. 3, 247–260 (2013)
Yuan, X.M.: An improved proximal alternating direction method for monotone variational inequalities with separable structure. Comput. Optim. Appl. 49, 17–29 (2011)
He, B.S., Tao, M., Yuan, X.M.: A splitting method for separable convex programming. IMA J. Numer. Anal. under revision
Xu, H.K.: Iterative methods for the split feasibility problem in infinite-dimensional Hilbert spaces. Inverse Probl. 26, 105018 (2010)
He, B.S., Liao, L.Z., Han, D.R., Yang, H.: A new inexact alternating directions method for monotone variational inequalities. Math. Program. 92, 103–118 (2002)
Sun, J., Zhang, S.: A modified alternating direction method for convex quadratically constrained quadratic semidefinite programs. Eur. J. Oper. Res. 207, 1210–1220 (2010)
He, B.S., Yuan, X.M.: On the O(1/n) convergence rate of Douglas–Rachford alternating direction method. SIAM J. Numer. Anal. 50, 700–709 (2012)
Toh, K.C., Yun, S.: An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems. Pac. J. Optim. 6, 615–640 (2010)
Yang, J.F., Yuan, X.M.: Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization. Math. Comput. 82, 301–329 (2013)
Acknowledgements
This work is partially supported by the National Natural Science Foundation of China (Grant No. 11271206) and Fundamental Research Funds for the Central Universities (Grant No. NKZXB10089). The authors thank the editor and the anonymous referees for their careful reading of the paper and valuable comments.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Yang, Y., Yang, Q. & Zhang, S. Modified Alternating Direction Methods for the Modified Multiple-Sets Split Feasibility Problems. J Optim Theory Appl 163, 130–147 (2014). https://doi.org/10.1007/s10957-013-0502-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10957-013-0502-6