General iterative scheme based on the regularization for solving a constrained convex minimization problem
DOI10.1186/1029-242X-2013-550zbMath1496.47105OpenAlexW2132052284WikidataQ59302099 ScholiaQ59302099MaRDI QIDQ2250317
Publication date: 7 July 2014
Published in: Journal of Inequalities and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/1029-242x-2013-550
strong convergenceregularizationvariational inequalityconstrained convex minimizationsplit feasibility problemgradient-projection algorithmaveraged mappingimplicit iterative scheme
Variational inequalities (49J40) Iterative procedures involving nonlinear operators (47J25) Contraction-type mappings, nonexpansive mappings, (A)-proper mappings, etc. (47H09)
Cites Work
- Some iterative methods for finding fixed points and for solving constrained convex minimization problems
- Averaged mappings and the gradient-projection algorithm
- Generalized systems of variational inequalities and projection methods for inverse-strongly monotone mappings
- A regularization method for the proximal point algorithm
- A general iterative algorithm for nonexpansive mappings in Hilbert spaces
- Perturbation techniques for nonexpansive mappings with applications
- A multiprojection algorithm using Bregman projections in a product space
- Viscosity approximation methods for nonexpansive mappings
- A unified implicit algorithm for solving the triple-hierarchical constrained optimization problem
- Two-step projection methods for a system of variational inequality problems in Banach spaces
- Viscosity approximation methods for fixed-points problems
- A general iterative method for nonexpansive mappings in Hilbert spaces
- The multiple-sets split feasibility problem and its applications for inverse problems
- A variable Krasnosel'skii–Mann algorithm and the multiple-set split feasibility problem
- Projected gradient methods for linearly constrained problems
- A unified treatment of some iterative algorithms in signal processing and image reconstruction
- Solving monotone inclusions via compositions of nonexpansive averaged operators
This page was built for publication: General iterative scheme based on the regularization for solving a constrained convex minimization problem