Weak and strong convergence results for solving inclusion problems and its applications
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Publication:2089225
DOI10.1007/s12190-021-01644-4OpenAlexW3207844465MaRDI QIDQ2089225
Publication date: 6 October 2022
Published in: Journal of Applied Mathematics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s12190-021-01644-4
Convex programming (90C25) Contraction-type mappings, nonexpansive mappings, (A)-proper mappings, etc. (47H09) Parallel algorithms in computer science (68W10) Numerical methods for variational inequalities and related problems (65K15)
Cites Work
- Unnamed Item
- Strong convergence result for solving monotone variational inequalities in Hilbert space
- Ergodic convergence to a zero of the sum of monotone operators in Hilbert space
- Approximating fixed points of nonexpansive mappings by the Ishikawa iteration process
- Finding a zero of the sum of two maximal monotone operators
- Tseng type methods for solving inclusion problems and its applications
- A strong convergence result involving an inertial forward-backward algorithm for monotone inclusions
- Inertial projection and contraction algorithms for variational inequalities
- Viscosity approximation methods for fixed-points problems
- Weak convergence of iterative methods for solving quasimonotone variational inequalities
- Three new iterative methods for solving inclusion problems and related problems
- A strong convergence theorem for Tseng's extragradient method for solving variational inequality problems
- Relaxed CQ algorithms involving the inertial technique for multiple-sets split feasibility problems
- Strong convergence of a forward-backward splitting method with a new step size for solving monotone inclusions
- Convergence results of forward-backward algorithms for sum of monotone operators in Banach spaces
- A class of projection and contraction methods for monotone variational inequalities
- Splitting Algorithms for the Sum of Two Nonlinear Operators
- Convergence Rates in Forward--Backward Splitting
- Weak Convergence of a Relaxed and Inertial Hybrid Projection-Proximal Point Algorithm for Maximal Monotone Operators in Hilbert Space
- A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings
- Self-adaptive inertial subgradient extragradient algorithm for solving pseudomonotone variational inequalities
- 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
