A strong convergence algorithm for the two-operator split common fixed point problem in Hilbert spaces
From MaRDI portal
Publication:1723907
DOI10.1155/2014/350479zbMath1472.47092OpenAlexW2136154272WikidataQ59036374 ScholiaQ59036374MaRDI QIDQ1723907
Young-Ye Huang, Chung-Chien Hong
Publication date: 14 February 2019
Published in: Abstract and Applied Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/350479
Contraction-type mappings, nonexpansive mappings, (A)-proper mappings, etc. (47H09) Fixed-point iterations (47J26)
Related Items
The split common fixed-point problem for demicontractive mappings and quasi-nonexpansive mappings ⋮ The iterative solutions of split common fixed point problem for asymptotically nonexpansive mappings in Banach spaces
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Regularized methods for the split feasibility problem
- A proximal point algorithm converging strongly for general errors
- Strong convergence theorems for maximal monotone operators with nonlinear mappings in Hilbert spaces
- Four parameter proximal point algorithms
- Inexact Halpern-type proximal point algorithm
- A strongly convergent method for the split feasibility problem
- A regularization method for the proximal point algorithm
- Approximating curve and strong convergence of the \(CQ\) algorithm for the split feasibility problem
- Strong convergence of projected subgradient methods for nonsmooth and nonstrictly convex minimization
- Approximation of fixed points of nonexpansive mappings
- A multiprojection algorithm using Bregman projections in a product space
- Convergence of generalized proximal point algorithms
- Approximating solutions of maximal monotone operators in Hilbert spaces
- On the contraction-proximal point algorithms with multi-parameters
- Forcing strong convergence of proximal point iterations in a Hilbert space
- Multiple-set split feasibility problems for \(\kappa\)-strictly pseudononspreading mapping in Hilbert spaces
- Approximating common fixed points of averaged self-mappings with applications to the split feasibility problem and maximal monotone operators in Hilbert spaces
- A unified iterative treatment for solutions of problems of split feasibility and equilibrium in Hilbert spaces
- Damped projection method for split common fixed point problems
- Iterative methods for the split feasibility problem in infinite-dimensional Hilbert spaces
- Iterative Algorithms for Nonlinear Operators
- The split common fixed-point problem for demicontractive mappings
- Monotone Operators and the Proximal Point Algorithm
- A unified treatment of some iterative algorithms in signal processing and image reconstruction
- Iterative oblique projection onto convex sets and the split feasibility problem
- Fixed points of nonexpanding maps
This page was built for publication: A strong convergence algorithm for the two-operator split common fixed point problem in Hilbert spaces