scientific article; zbMATH DE number 7348708
From MaRDI portal
Publication:4988607
zbMath1474.47124MaRDI QIDQ4988607
No author found.
Publication date: 17 May 2021
Full work available at URL: http://elib.mi.sanu.ac.rs/files/journals/mv/277/5_eng.html
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
strong convergencequasi-pseudocontractive mappingsfixed point problemminimisation probleminertial iterative schemeconvexly constrained linear inverse problems
Nonlinear accretive operators, dissipative operators, etc. (47H06) Iterative procedures involving nonlinear operators (47J25) Contraction-type mappings, nonexpansive mappings, (A)-proper mappings, etc. (47H09)
Related Items
A multi step inertial algorithm for approximating a common solution of split generalized mixed equilibrium and minimization problems ⋮ Unnamed Item ⋮ Generalized viscosity approximation method for minimization and fixed point problems of quasi-pseudocontractive mappings in Hadamard spaces
Cites Work
- Unnamed Item
- Unnamed Item
- Split equality fixed point problem for quasi-pseudo-contractive mappings with applications
- Modified inertial Mann algorithm and inertial CQ-algorithm for nonexpansive mappings
- An inertial forward-backward algorithm for monotone inclusions
- Convergence theorems for inertial KM-type algorithms
- Approximating curve and strong convergence of the \(CQ\) algorithm for the split feasibility problem
- Strong and \(\Delta\) convergence theorems for multivalued mappings in CAT(0) spaces
- Iterative methods for solving quasi-variational inclusion and fixed point problem in \(q\)-uniformly smooth Banach spaces
- A strong convergence result involving an inertial forward-backward algorithm for monotone inclusions
- Approximating solutions of maximal monotone operators in Hilbert spaces
- Relaxed CQ algorithms involving the inertial technique for multiple-sets split feasibility problems
- Iterative Algorithms for Nonlinear Operators
- On the Convergence of the Proximal Point Algorithm for Convex Minimization
- Iteration methods for convexly constrained ill-posed problems in hilbert space
- Monotone Operators and the Proximal Point Algorithm
- Some methods of speeding up the convergence of iteration methods
- A Weak-to-Strong Convergence Principle for Fejér-Monotone Methods in Hilbert Spaces
- An inertial proximal method for maximal monotone operators via discretization of a nonlinear oscillator with damping
This page was built for publication:
