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A sequential iteration algorithm with non-monotoneous behaviour in the method of projections onto convex sets

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Abstract

The method of projections onto convex sets to find a point in the intersection of a finite number of closed convex sets in a Euclidean space, may lead to slow convergence of the constructed sequence when that sequence enters some narrow “corridor” between two or more convex sets. A way to leave such corridor consists in taking a big step at different moments during the iteration, because in that way the monotoneous behaviour that is responsible for the slow convergence may be interrupted. In this paper we present a technique that may introduce interruption of the monotony for a sequential algorithm, but that at the same time guarantees convergence of the constructed sequence to a point in the intersection of the sets. We compare experimentally the behaviour concerning the speed of convergence of the new algorithm with that of an existing monotoneous algorithm.

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References

  1. H. Bauschke and J. Borwein On projection algorithms for solving convex feasibility problems. Siam Review 38 (1996), 367–426.

    Article  MATH  MathSciNet  Google Scholar 

  2. D. Butnariu and Y. Censor: On the behaviour of a block-iterative projection method for solving convex feasibility problems. Intern. J. Computer Math. 34 (1990), 79–94.

    MATH  Google Scholar 

  3. Y. Censor and S. A. Zenios: Parallel optimization. Theory, algorithms, and applications, Oxford University Press, Inc., New York, 1997.

    MATH  Google Scholar 

  4. G. Crombez: Viewing parallel projection methods as sequential ones in convex feasibility problems. Trans. Amer. Math. Soc. 347 (1995), 2575–2583.

    Article  MATH  MathSciNet  Google Scholar 

  5. G. Crombez: Improving the speed of convergence in the method of projections onto convex sets. Publicationes Mathematicae Debrecen 58 (2001), 29–48.

    MATH  MathSciNet  Google Scholar 

  6. F. Deutsch: The method of alternating orthogonal projections. In: “Approximation theory, spline functions and applications”, Kluwer Academic Publishers, 1992, pp. 105–121.

  7. J. Dye and S. Reich: Random products of nonexpansive mappings. In: “Optimization and Nonlinear Analysis”, Pitman Research Notes in Mathematics Series, Vol. 244, Longman, Harlow, 1992, pp. 106–118.

    Google Scholar 

  8. W. Gearhart and M. Koshy: Acceleration schemes for the method of alternating projections. J. Comp. Appl. Math. 26 (1989), 235–249.

    Article  MATH  MathSciNet  Google Scholar 

  9. L. G. Gubin, B. T. Polyak and E. V. Raik: The method of projections for finding the common point of convex sets. USSR Comput. Math. and Math. Phys. 7 (1967), 1–24.

    Article  Google Scholar 

  10. M. Hanke and W. Niethammer: On the acceleration of Kaczmarz’s method for inconsistent linear systems. Linear Algebra Appl. 130 (1990), 83–98.

    Article  MATH  MathSciNet  Google Scholar 

  11. D. Schott: Iterative solution of convex problems by Fejér-monotone methods. Numer. Funct. Anal. and Optimiz. 16 (1995), 1323–1357.

    MATH  MathSciNet  Google Scholar 

  12. H. Stark and Y. Yang: Vector space projections. J. Wiley & Sons, Inc., New York, 1998.

    MATH  Google Scholar 

  13. L. Vandenberghe and S. Boyd: Semidefinite programming. Siam Review 38 (1996), 49–95.

    Article  MATH  MathSciNet  Google Scholar 

  14. Y. Yang, N. Galatsanos and A. Katsaggelos: Projection-based spatially adaptive reconstruction of block-transform compressed images. IEEE Trans. Image Processing 4 (1995), 896–908.

    Article  Google Scholar 

  15. D. C. Youla: Mathematical theory of image restoration by the method of convex projections. In: H. Stark (editor), “Image recovery: theory and applications”, Academic Press, New York, 1987, pp. 29–77.

    Google Scholar 

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Crombez, G. A sequential iteration algorithm with non-monotoneous behaviour in the method of projections onto convex sets. Czech Math J 56, 491–506 (2006). https://doi.org/10.1007/s10587-006-0031-7

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  • DOI: https://doi.org/10.1007/s10587-006-0031-7

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