Titlebook: Algorithms for Solving Common Fixed Point Problems; Alexander J. Zaslavski Book 2018 Springer International Publishing AG, part of Springe

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Die zeichnerischen Darstellungsweisennder the presence of perturbations. We show that the inexact proximal point method generates an approximate solution if perturbations are summable. We also show that if the perturbations are sufficiently small, then the inexact proximal point method produces approximate solutions.

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Algorithms for Solving Common Fixed Point Problems978-3-319-77437-4Series ISSN 1931-6828 Series E-ISSN 1931-6836

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https://doi.org/10.1007/978-3-322-84133-9 approximate solution of the problem using perturbed algorithms. We show that the inexact iterative method generates an approximate solution if perturbations are summable. We also show that if the mappings are nonexpansive and the perturbations are sufficiently small, then the inexact method produces approximate solutions.

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Die zeichnerischen Darstellungsweisennder the presence of perturbations. We show that the inexact proximal point method generates an approximate solution if perturbations are summable. We also show that if the perturbations are sufficiently small, then the inexact proximal point method produces approximate solutions.

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B. Hague D.SC., PH.D., F.C.G.I.used. We can divide these performance measures into two categories. The first category evaluates the noise reduction performance while the second one evaluates speech distortion. We also discuss the very convenient mean-square error (MSE) criterion and show how it is related to the performance measu

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