colostrum
发表于 2025-3-23 12:40:41
1931-6828introduced and discussed in Chapter 4. Chapter 5 is devoted to the convergence of an abstract version of the algorithm which has been called component-averaged row projections (CARP). Chapter 6 studies a prox978-3-030-08455-4978-3-319-77437-4Series ISSN 1931-6828 Series E-ISSN 1931-6836
技术
发表于 2025-3-23 16:41:51
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预定
发表于 2025-3-23 18:14:21
Studien zur Schul- und Bildungsforschungal case of a common fixed point problem which is to find a common fixed point of a finite family of nonlinear mappings in a Hilbert space. Our goal is to show the convergence of algorithms, which are known as important tools for solving convex feasibility and common fixed point problems. Some of these algorithms are discussed is this chapter.
Repatriate
发表于 2025-3-23 23:21:15
https://doi.org/10.1007/978-3-322-84133-9an 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.
Irrepressible
发表于 2025-3-24 05:35:34
Die Transformation der IT-Industriew that the inexact dynamic string-averaging proximal point algorithm generates an approximate solution if perturbations are summable. We also show that if the perturbations are sufficiently small, then the inexact produces approximate solutions.
DUCE
发表于 2025-3-24 06:52:25
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Spinous-Process
发表于 2025-3-24 13:10:41
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craven
发表于 2025-3-24 16:29:51
Dynamic String-Averaging Proximal Point Algorithm,w that the inexact dynamic string-averaging proximal point algorithm generates an approximate solution if perturbations are summable. We also show that if the perturbations are sufficiently small, then the inexact produces approximate solutions.
不近人情
发表于 2025-3-24 22:55:15
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Hallmark
发表于 2025-3-25 00:04:20
Iterative Methods in Metric Spaces, 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.