Self-adaptive inertial subgradient extragradient algorithm for solving pseudomonotone variational inequalities
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Publication:5856760
DOI10.1080/00036811.2019.1634257OpenAlexW2954960010MaRDI QIDQ5856760
Publication date: 29 March 2021
Published in: Applicable Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00036811.2019.1634257
Convex programming (90C25) Nonlinear programming (90C30) Variational and other types of inequalities involving nonlinear operators (general) (47J20) Methods of reduced gradient type (90C52)
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Cites Work
- Unnamed Item
- Unnamed Item
- Strong convergence of the Halpern subgradient extragradient method for solving variational inequalities in Hilbert spaces
- The subgradient extragradient method for solving variational inequalities in Hilbert space
- Iterative method with inertial for variational inequalities in Hilbert spaces
- Strong convergence result for solving monotone variational inequalities in Hilbert space
- Pseudo-monotone complementarity problems in Hilbert space
- General interior Hermite collocation methods for second-order elliptic partial differential equations
- Modified Tseng's extragradient algorithms for variational inequality problems
- Weak and strong convergence theorems for variational inequality problems
- Inertial projection and contraction algorithms for variational inequalities
- A modified projected gradient method for monotone variational inequalities
- On the weak convergence of the extragradient method for solving pseudo-monotone variational inequalities
- Some developments in general variational inequalities
- Inertial extragradient algorithms for strongly pseudomonotone variational inequalities
- Strong convergence result for monotone variational inequalities
- A New Projection Method for Variational Inequality Problems
- A variant of korpelevich’s method for variational inequalities with a new search strategy
- Single projection method for pseudo-monotone variational inequality in Hilbert spaces
- Modified subgradient extragradient algorithms for variational inequality problems and fixed point problems
- Modified subgradient extragradient algorithms for solving monotone variational inequalities
- Weak Convergence of a Relaxed and Inertial Hybrid Projection-Proximal Point Algorithm for Maximal Monotone Operators in Hilbert Space
- Finite-Dimensional Variational Inequalities and Complementarity Problems
- A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings
- Projected Reflected Gradient Methods for Monotone Variational Inequalities
- An inertial proximal method for maximal monotone operators via discretization of a nonlinear oscillator with damping
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