The 2-sets convex feasibility problem aims at finding a point in the nonempty intersection of two closed convex sets A and B in a Hilbert space H. The method of alternating projections is the simplest iterative procedure for finding a solution and it goes back to von Neumann. In the present paper, we study some stability properties for this method in the following sense: we consider two sequences of closed convex sets {An} and {Bn}, each of them converging, with respect to the Attouch-Wets variational convergence, respectively, to A and B. Given a starting point a0, we consider the sequences of points obtained by projecting on the “perturbed” sets, i.e., the sequences {an} and {bn} given by bn=PBn(an−1) and an=PAn(bn). Under appropriate geometrical and topological assumptions on the intersection of the limit sets, we ensure that the sequences {an} and {bn} converge in norm to a point in the intersection of A and B. In particular, we consider both when the intersection A∩B reduces to a singleton and when the interior of A∩B is nonempty. Finally we consider the case in which the limit sets A and B are subspaces.
Lingua originaleEnglish
pagine (da-a)N/A-N/A
RivistaJournal of Global Optimization
Stato di pubblicazionePubblicato - 2021


  • Convex feasibility problem, Stability, Set-convergence, Alternating projections method

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