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On deterministic convergence of iterations of relaxed projection operators

โœ Scribed by Dante C. Youla


Publisher
Elsevier Science
Year
1990
Tongue
English
Weight
782 KB
Volume
1
Category
Article
ISSN
1047-3203

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โœฆ Synopsis


In many signal-processing and system-theoretic applications, such as image restoration 19, 10, 15-18) and adaptive control [l-3, 6-81, it is necessary to consider the convergence properties of iterations of relaxed projection operators drawn from either a finite or an infinite pool. Moreover, in an adaptive environment it is invariably true that the choice of iteration sequence is unknown or totally unrestricted. Unfortunately, relatively little is known about this subject, especially if the operators are nonlinear and the setting is infinite-dimensional. In addition to summarizing some of the more pertinent recent literature, we also present some new results which can serve as a starting point for further study. A fairly extensive discussion of ideas and theorems is followed by detailed proofs.


๐Ÿ“œ SIMILAR VOLUMES


Convergence of Krasnoselskii-Mann iterat
โœ S. Reich; A.J. Zaslavski ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 545 KB

In this paper, we show that a generic nonexpansive operator on a closed and convex, but not necessarily bounded, subset of a hyperbolic space has a unique fixed point which attracts the Krasnoselskii-Mann iterations of this operator.