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Weak convergence theorems of the modified relaxed projection algorithms for the split feasibility problem in Hilbert spaces

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Abstract

In this paper, we introduce a modified relaxed projection algorithm and a modified variable-step relaxed projection algorithm for the split feasibility problem in infinite-dimensional Hilbert spaces. The weak convergence theorems under suitable conditions are proved. Finally, some numerical results are presented, which show the advantage of the proposed algorithms.

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References

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

    Article  MATH  MathSciNet  Google Scholar 

  2. Byrne, C.L.: Iterative oblique projection onto convex sets and the split feasibility problem. Inverse Probl. 18, 441–453 (2002)

    Article  MATH  MathSciNet  Google Scholar 

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

    Article  MATH  MathSciNet  Google Scholar 

  4. Cegielski, A.: Generalized relaxations of nonexpansive operators and convex feasibility problems. Contemp. Math. 513, 111–123 (2010)

    Article  MathSciNet  Google Scholar 

  5. Censor, Y., Bortfeld, T., Martin, B., Trofimov, A.: A unified approach for inversion problems in intensitymodulated radiation therapy. Phys. Med. Biol. 51, 2353–2365 (2006)

    Article  Google Scholar 

  6. 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)

    Article  MATH  MathSciNet  Google Scholar 

  7. 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)

    Article  MATH  MathSciNet  Google Scholar 

  8. Censor, Y., Segal, A.: The split common fixed point problem for directed operators. J. Convex Anal. 16, 587–600 (2009)

    MATH  MathSciNet  Google Scholar 

  9. Wang, F., Xu, H.K.: Cyclic algorithms for split feasibility problems in Hilbert spaces. Nonlinear Anal. 74, 4105–4111 (2011)

    Article  MATH  MathSciNet  Google Scholar 

  10. Xu, H.K.: Iterative methods for the split feasibility problem in infinite-dimensional Hilbert spaces. Inverse Probl. 26, 105018 (2010)

    Article  Google Scholar 

  11. Dang, Y., Gao, Y.: The strong convergence of a KM-CQ-like algorithm for a split feasibility problem. Inverse Probl. 27, 015007 (2011)

    Article  MathSciNet  Google Scholar 

  12. Yu, X., Shahzad, N., Yao, Y.: Implicit and explicit algorithms for solving the split feasibility problem. Optim. Lett. doi:10.1007/s11590-011-0340-0

  13. Yang, Q.: The relaxed CQ algorithm solving the split feasibility problem. Inverse Probl. 20, 1261–1266 (2004)

    Article  MATH  Google Scholar 

  14. Qu, B., Xiu, N.: A note on the CQ algorithm for the split feasibility problem. Inverse Probl. 21, 1655–1665 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  15. Wang, Z., Yang, Q., Yang, Y.: The relaxed inexact projection methods for the split feasibility problem. Appl. Math. Comput. 217, 5347–5359 (2011)

    Article  MATH  MathSciNet  Google Scholar 

  16. Toint, PhL: Global convergence of a class of trust region methods for nonconvex minimization in Hilbert space. IMA J. Numer. Anal. 8, 231–252 (1988)

    Article  MATH  MathSciNet  Google Scholar 

  17. Gafni, E.M., Bertsekas, D.P.: Two-metric projection methods for constrained optimization. SIAM J. Control Optim. 22, 936–964 (1984)

    Article  MATH  MathSciNet  Google Scholar 

  18. Rudin, W.: Functional Analysis, 2nd edn. McGraw-Hill, New York (1991)

    MATH  Google Scholar 

  19. Osilike, M.O., Aniagbosor, S.C.: Weak and strong convergence theorems for fixed points of asymptotically nonexpansive mappings. Math. Comput. Model. 32, 1181–1191 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  20. Bauschke, H.H., Borwein, J.M.: On projection algorithms for solving convex feasibility problems. SIAM Rev. 38, 367–426 (1996)

    Article  MATH  MathSciNet  Google Scholar 

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Acknowledgments

The authors express their thanks to the reviewers, whose constructive suggestions led to improvements in the presentation of the results.

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Correspondence to Yonghong Yao.

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Supported by the NSFC Tianyuan Youth Foundation of Mathematics of China (No. 11126136) and Fundamental Research Funds for the Central Universities (No. ZXH2011C002).

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Dong, QL., Yao, Y. & He, S. Weak convergence theorems of the modified relaxed projection algorithms for the split feasibility problem in Hilbert spaces. Optim Lett 8, 1031–1046 (2014). https://doi.org/10.1007/s11590-013-0619-4

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  • DOI: https://doi.org/10.1007/s11590-013-0619-4

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