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An acceleration scheme for Dykstra’s algorithm

Listed author(s):
  • Williams López


    (Universidad de Los Andes)

  • Marcos Raydan


    (Universidad Simón Bolívar)

Registered author(s):

    Abstract Dykstra’s algorithm is an iterative alternating projection procedure for solving the best approximation problem: find the closest point, to a given one, in the intersection of a finite number of closed and convex sets. The main drawback of Dykstra’s algorithm is its frequent slow convergence. In this work we develop an acceleration scheme with a strong geometrical flavor, which guarantees termination at the solution in two cycles of projections in the case of two closed subspaces. The proposed scheme can also be applied to any other alternating projection algorithm that solves the best approximation problem.

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    Article provided by Springer in its journal Computational Optimization and Applications.

    Volume (Year): 63 (2016)
    Issue (Month): 1 (January)
    Pages: 29-44

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    Handle: RePEc:spr:coopap:v:63:y:2016:i:1:d:10.1007_s10589-015-9768-y
    DOI: 10.1007/s10589-015-9768-y
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    1. A. Cegielski & R. Dylewski, 2010. "Variable target value relaxed alternating projection method," Computational Optimization and Applications, Springer, vol. 47(3), pages 455-476, November.
    2. N. Echebest & M. Guardarucci & H. Scolnik & M. Vacchino, 2005. "An Accelerated Iterative Method with Diagonally Scaled Oblique Projections for Solving Linear Feasibility Problems," Annals of Operations Research, Springer, vol. 138(1), pages 235-257, September.
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