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

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書目名稱Algorithms for Solving Common Fixed Point Problems影響因子(影響力)




書目名稱Algorithms for Solving Common Fixed Point Problems影響因子(影響力)學科排名




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書目名稱Algorithms for Solving Common Fixed Point Problems被引頻次




書目名稱Algorithms for Solving Common Fixed Point Problems被引頻次學科排名




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書目名稱Algorithms for Solving Common Fixed Point Problems年度引用學科排名




書目名稱Algorithms for Solving Common Fixed Point Problems讀者反饋




書目名稱Algorithms for Solving Common Fixed Point Problems讀者反饋學科排名

青少年

壁畫

Dynamic String-Averaging Methods in Normed Spaces,is 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

sterilization

極深

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.

灌溉

Dynamic String-Averaging Proximal Point Algorithm,ne operators under the presence of perturbations. Our main goal is to obtain an approximate solution of the problem using perturbed algorithms. We show that the inexact dynamic string-averaging proximal point algorithm generates an approximate solution if perturbations are summable. We also show tha

茁壯成長

Abstract Version of CARP Algorithm,how 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, then the inexact dynamic string-averaging algorithm produces approximate solutions

cunning

演講

Mutter