Perturbation Resilience of Self-Adaptive Step-Size Algorithms for Solving Split Variational Inclusion Problems and their Applications
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Publication:6084033
DOI10.1080/01630563.2023.2247615MaRDI QIDQ6084033
Publication date: 31 October 2023
Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)
superiorization methodinertial techniquesplit variational inclusion problemsself-adaptive technology
Cites Work
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- An inertial forward-backward-forward primal-dual splitting algorithm for solving monotone inclusion problems
- Inertial Douglas-Rachford splitting for monotone inclusion problems
- A von Neumann alternating method for finding common solutions to variational inequalities
- Common solutions to variational inequalities
- Split monotone variational inclusions
- Algorithms for the split variational inequality problem
- Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure
- Approximation methods for common fixed points of nonexpansive mappings in Hilbert spaces
- Inertial iterative process for fixed points of certain quasi-nonexpansive mappings
- A multiprojection algorithm using Bregman projections in a product space
- Convergence of projection and contraction algorithms with outer perturbations and their applications to sparse signals recovery
- Convergence of generalized proximal point algorithms
- A strongly convergent Krasnosel'skiǐ-Mann-type algorithm for finding a common fixed point of a countably infinite family of nonexpansive operators in Hilbert spaces
- New inertial relaxed method for solving split feasibilities
- An inertial triple-projection algorithm for solving the split feasibility problem
- Two optimization approaches for solving split variational inclusion problems with applications
- Effect of shrinking projection and CQ-methods on two inertial forward-backward algorithms for solving variational inclusion problems
- Projection methods for solving split equilibrium problems
- New self-adaptive step size algorithms for solving split variational inclusion problems and its applications
- Self adaptive inertial subgradient extragradient algorithms for solving pseudomonotone variational inequality problems
- Strict Fejér monotonicity by superiorization of feasibility-seeking projection methods
- On the maximal monotonicity of subdifferential mappings
- Strong convergence of self-adaptive inertial algorithms for solving split variational inclusion problems with applications
- Inertial viscosity iterative method for solving pseudo-monotone variational inequality problems and fixed point problems
- An inertial alternating direction method of multipliers
- The multiple-sets split feasibility problem and its applications for inverse problems
- A General Inertial Proximal Point Algorithm for Mixed Variational Inequality Problem
- Perturbation resilience and superiorization of iterative algorithms
- A Hybrid Extragradient-Viscosity Method for Monotone Operators and Fixed Point Problems
- Iterative oblique projection onto convex sets and the split feasibility problem
- Inducing strong convergence into the asymptotic behaviour of proximal splitting algorithms in Hilbert spaces
- Two hybrid algorithms for solving split equilibrium problems
- The Split Common Null Point Problem
- 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
- PARALLEL EXTRAGRADIENT-PROXIMAL METHODS FOR SPLIT EQUILIBRIUM PROBLEMS
- A Forward-Backward Splitting Method for Monotone Inclusions Without Cocoercivity
- New algorithms for the split variational inclusion problems and application to split feasibility problems
- Proximal type algorithms involving linesearch and inertial technique for split variational inclusion problem in hilbert spaces with applications
- Some methods of speeding up the convergence of iteration methods
- An inertial proximal method for maximal monotone operators via discretization of a nonlinear oscillator with damping
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