管理员 发表于 2025-3-25 04:38:11
Proximal Point Algorithm,nder 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.蛤肉 发表于 2025-3-25 10:44:35
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Dynamic String-Maximum Methods in Metric Spaces,In this chapter we study the convergence of dynamic string-maximum methods for solving common fixed point problems in a metric space. Our main goal is to obtain an approximate solution of the problem using perturbed algorithms. We show that the inexact iterative method generates an approximate solution if perturbations are summable.hermitage 发表于 2025-3-25 23:49:49
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https://doi.org/10.1007/978-3-319-77437-4fixed point problems; Hilbert space; convex feasibility problems; tomography; Dynamic string methodssleep-spindles 发表于 2025-3-26 06:21:59
978-3-030-08455-4Springer International Publishing AG, part of Springer Nature 2018poliosis 发表于 2025-3-26 09:00:30
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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 produceHERE 发表于 2025-3-26 17:26:35
https://doi.org/10.1007/978-3-322-84133-9is to obtain an approximate solution of the problem using perturbed algorithms. We show that the inexact dynamic string-averaging algorithm generates an approximate solution if perturbations are summable. We also show that if the mappings are nonexpansive and the perturbations are sufficiently small