scholarly journals PARALLEL OPTIMIZATION ALGORITHM FOR SMOOTH CONVEX OPTIMIZATION OVER FIXED POINT SETS OF QUASI-NONEXPANSIVE MAPPINGS

2015 ◽  
Vol 58 (4) ◽  
pp. 330-352 ◽  
Author(s):  
Hideaki Iiduka
Mathematics ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 1012
Author(s):  
Suthep Suantai ◽  
Narin Petrot ◽  
Montira Suwannaprapa

We consider the split feasibility problem in Hilbert spaces when the hard constraint is common solutions of zeros of the sum of monotone operators and fixed point sets of a finite family of nonexpansive mappings, while the soft constraint is the inverse image of a fixed point set of a nonexpansive mapping. We introduce iterative algorithms for the weak and strong convergence theorems of the constructed sequences. Some numerical experiments of the introduced algorithm are also discussed.


2017 ◽  
Vol 2017 ◽  
pp. 1-7
Author(s):  
S. Iampiboonvatana ◽  
P. Chaoha

We establish a convergence theorem and explore fixed point sets of certain continuous quasi-nonexpansive mean-type mappings in general normed linear spaces. We not only extend previous works by Matkowski to general normed linear spaces, but also obtain a new result on the structure of fixed point sets of quasi-nonexpansive mappings in a nonstrictly convex setting.


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