Convergence rate of a gradient projection method for solving variational inequalities
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Publication:5090005
DOI10.23952/jnva.5.2021.6.08OpenAlexW4256066471MaRDI QIDQ5090005
Duy Khanh Pham, Unnamed Author, Tu Vuong Phan
Publication date: 15 July 2022
Published in: Journal of Nonlinear and Variational Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.23952/jnva.5.2021.6.08
variational inequalityerror boundconvergence rategradient projection methodco-coercivityconvex feasible problem
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Cites Work
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- On finite convergence of iterative methods for variational inequalities in Hilbert spaces
- Linear and strong convergence of algorithms involving averaged nonexpansive operators
- Qualitative properties of strongly pseudomonotone variational inequalities
- Minimax variational inequalities
- The asymptotic behavior of the composition of two resolvents
- Modified projection method for strongly pseudomonotone variational inequalities
- On the weak convergence of the extragradient method for solving pseudo-monotone variational inequalities
- Seven kinds of monotone maps
- An alternating projection that does not converge in norm
- On linear convergence of iterative methods for the variational inequality problem
- Improved subgradient extragradient methods for solving pseudomonotone variational inequalities in Hilbert spaces
- The forward-backward-forward method from continuous and discrete perspective for pseudo-monotone variational inequalities in Hilbert spaces
- A New Extragradient Method for Strongly Pseudomonotone Variational Inequalities
- Two-Metric Projection Methods for Constrained Optimization
- A New Projection Method for Variational Inequality Problems
- A unified treatment of some iterative algorithms in signal processing and image reconstruction
- Solving monotone inclusions via compositions of nonexpansive averaged operators
- Finite-Dimensional Variational Inequalities and Complementarity Problems
- Co-Coercivity and Its Role in the Convergence of Iterative Schemes for Solving Variational Inequalities
- A monotone Bregan projection algorithm for fixed point and equilibrium problems in a reflexive Banach space
- A parallel iterative method for solving a class of variational inequalities in Hilbert spaces
- Convex analysis and monotone operator theory in Hilbert spaces
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