A parallel Tseng's splitting method for solving common variational inclusion applied to signal recovery problems
DOI10.1186/s13662-021-03647-8zbMath1494.49022OpenAlexW3212841725MaRDI QIDQ2167271
Raweerote Suparatulatorn, T. Mouktonglang, Watcharaporn Cholamjiak, Aviv Gibali
Publication date: 25 August 2022
Published in: Advances in Difference Equations (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13662-021-03647-8
compressed sensinginertial proximal algorithminformation and communication technologycommon variational inclusion problemcommunications technologyTseng's splitting algorithm
Convex programming (90C25) Numerical methods based on nonlinear programming (49M37) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Information theory (general) (94A15)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- Parallel hybrid extragradient methods for pseudomonotone equilibrium problems and nonexpansive mappings
- An inertial forward-backward algorithm for monotone inclusions
- Strong convergence of projected subgradient methods for nonsmooth and nonstrictly convex minimization
- Tseng type methods for solving inclusion problems and its applications
- An inertial forward-backward splitting method for solving inclusion problems in Hilbert spaces
- Convergence of a splitting inertial proximal method for monotone operators
- Modified forward-backward splitting method for variational inclusions
- Relaxed forward-backward splitting methods for solving variational inclusions and applications
- A new proximal-like algorithm for solving split variational inclusion problems
- Image restoration by advanced parallel inertial forward-backward splitting methods
- Iterative regularization methods with new stepsize rules for solving variational inclusions
- Modified extragradient method for pseudomonotone variational inequalities in infinite dimensional Hilbert spaces
- A parallel monotone hybrid algorithm for a finite family of \(G\)-nonexpansive mappings in Hilbert spaces endowed with a graph applicable in signal recovery
- Adaptive restart for accelerated gradient schemes
- A Generalized Forward-Backward Splitting
- Iterative Algorithms for Nonlinear Operators
- Splitting Algorithms for the Sum of Two Nonlinear Operators
- Monotone Operators and the Proximal Point Algorithm
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings
- Signal Recovery by Proximal Forward-Backward Splitting
- Some methods of speeding up the convergence of iteration methods
- Convex analysis and monotone operator theory in Hilbert spaces
This page was built for publication: A parallel Tseng's splitting method for solving common variational inclusion applied to signal recovery problems
