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Solving convex feasibility problems by a parallel projection method with geometrically-defined parameters. (English) Zbl 0877.65033
The parallel projection method to find, in an iterative manner, a point in the nonempty intersection of a finite number of closed convex sets in a real Hilbert space, uses at each iteration step a number of nonnegative weights and a positive relaxation coefficient; they may vary at each step, but should be chosen such that the resulting sequence is (at least weakly) convergent to a point in the intersection. We present a method to determine these variable quantities at each step by geometrical conditions in an associated Hilbert space.
Reviewer: G.Crombez (Gent)

MSC:
65J05 General theory of numerical analysis in abstract spaces
46C99 Inner product spaces and their generalizations, Hilbert spaces
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