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Article
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SIAM Journal on Optimization
Article . 1992 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 1992
Data sources: DBLP
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On the Convergence of the Products of Firmly Nonexpansive Mappings

On the convergence of the products of firmly nonexpansive mappings
Authors: Paul Tseng;

On the Convergence of the Products of Firmly Nonexpansive Mappings

Abstract

Consider a finite collection of firmly nonexpansive self-mappings on a Hilbert space whose fixed-point sets intersect. It is shown that, in the finite-dimensional case, any iteration of mappings drawn from this collection converges. This resolves, for the finite-dimensional case at least, a popular conjecture concerning the convergence of the successive projection method. In the finite-dimensional case, it is shown if the mappings are drawn according to a certain order, called the quasi-cyclic order, then the iteration converges weakly in a sense. The quasi-cyclic order may be viewed as an extension of the well-known cyclic order in which the lengths of the cycles are permitted to grow without bound.

Keywords

Numerical methods based on nonlinear programming, quasi-cyclic order, firmly nonexpansive mapping, successive projection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 1%
Average
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