On the Convergence of an Optimization Algorithm Based on Nonlinear Operators
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Publication:5164930
DOI10.7858/eamj.2020.039OpenAlexW3123154727MaRDI QIDQ5164930
Publication date: 15 November 2021
Full work available at URL: http://koreascience.or.kr:80/article/JAKO202029565519331.pdf
Monotone operators and generalizations (47H05) Fixed-point theorems (47H10) Contraction-type mappings, nonexpansive mappings, (A)-proper mappings, etc. (47H09)
Cites Work
- Strong convergence theorems for maximal monotone operators with nonlinear mappings in Hilbert spaces
- Strong convergence theorem on split equilibrium and fixed point problems in Hilbert spaces
- Viscosity approximation methods for equilibrium problems and fixed point problems in Hilbert spaces
- Weak and strong convergence theorems for a nonexpansive mapping and an equilibrium problem
- A new iterative method for the set of solutions of equilibrium problems and of operator equations with inverse-strongly monotone mappings
- An iterative approach to mixed equilibrium problems and fixed points problems
- Strong convergence of a splitting algorithm for treating monotone operators
- A regularization method for treating zero points of the sum of two monotone operators
- Strong convergence theorems by hybrid methods for families of nonexpansive mappings in Hilbert spaces
- Characterization of the subdifferentials of convex functions
- A class of generalized operator equilibrium problems
- Weak and strong convergence of splitting algorithms in Banach spaces
- On the Maximality of Sums of Nonlinear Monotone Operators
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