Inertial proximal point algorithms for solving a class of split feasibility problems
From MaRDI portal
Publication:6192036
DOI10.1007/s10957-023-02343-9OpenAlexW4389608852MaRDI QIDQ6192036
Unnamed Author, Truong Minh Tuyen, Simeon Reich
Publication date: 11 March 2024
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10957-023-02343-9
Convex programming (90C25) Monotone operators and generalizations (47H05) Set-valued and variational analysis (49J53) Contraction-type mappings, nonexpansive mappings, (A)-proper mappings, etc. (47H09)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- Approximation of zeros of inverse strongly monotone operators in Banach spaces
- Algorithms for the split variational inequality problem
- A multiprojection algorithm using Bregman projections in a product space
- Convergence of damped inertial dynamics governed by regularized maximally monotone operators
- Convergence of inertial dynamics and proximal algorithms governed by maximally monotone operators
- An optimization approach to solving the split feasibility problem in Hilbert spaces
- Continuous Newton-like inertial dynamics for monotone inclusions
- Convergence of a relaxed inertial proximal algorithm for maximally monotone operators
- The split feasibility problem with multiple output sets in Hilbert spaces
- Nonlinear maximal monotone operators in Banach space
- Two new self-adaptive algorithms for solving the split common null point problem with multiple output sets in Hilbert spaces
- The generalized Fermat-Torricelli problem in Hilbert spaces
- Nonlinear Ill-posed Problems of Monotone Type
- The multiple-sets split feasibility problem and its applications for inverse problems
- A General Inertial Proximal Point Algorithm for Mixed Variational Inequality Problem
- 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
- Quasi-Nonexpansive Iterations on the Affine Hull of Orbits: From Mann's Mean Value Algorithm to Inertial Methods
- Convergence Rates of Inertial Forward-Backward Algorithms
- The Split Common Null Point Problem
- Two Projection Methods for Solving the Split Common Fixed Point Problem with Multiple Output Sets in Hilbert Spaces
- Iterative methods for solving the generalized split common null point problem in Hilbert spaces
- A Generalized Proximal Point Algorithm and Its Convergence Rate
- Convex analysis and monotone operator theory 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: Inertial proximal point algorithms for solving a class of split feasibility problems
