1984
DOI: 10.1007/bf02612715
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Decomposition through formalization in a product space

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Cited by 245 publications
(203 citation statements)
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“…Our approach to the convergence of the method of averaged projections is standard [5,38,39]: we identify the method with von Neumann's alternating projections algorithm [49] on two closed sets (one of which is a linear subspace) in a suitable product space. A nice development of the classical method of alternating projections in the convex case may be found in [15].…”
Section: Introductionmentioning
confidence: 99%
“…Our approach to the convergence of the method of averaged projections is standard [5,38,39]: we identify the method with von Neumann's alternating projections algorithm [49] on two closed sets (one of which is a linear subspace) in a suitable product space. A nice development of the classical method of alternating projections in the convex case may be found in [15].…”
Section: Introductionmentioning
confidence: 99%
“…This algorithm has been proposed in Pierra [15]. As (17) has a unique optimal solution, from Theorem 1, we conclude that the séquence {x f } converges to a limit point x K and, when A i 0, from Theorem 2, JC A tends to a solution of (15).…”
Section: Application To the Decomposition Of Convex Programsmentioning
confidence: 67%
“…As (17) has a unique optimal solution, from Theorem 1, we conclude that the séquence {x f } converges to a limit point x K and, when A i 0, from Theorem 2, JC A tends to a solution of (15). In practice, we need a test to décide whether we must reduce A and solve another cycle of itérations (17)- (18) or not.…”
Section: Application To the Decomposition Of Convex Programsmentioning
confidence: 92%
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