Two Bregman Projection Methods for Solving Variational Inequality Problems in Hilbert Spaces with Applications to Signal Processing
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Two Bregman Projection Methods for Solving Variational Inequality Problems in Hilbert Spaces with Applications to Signal Processing
Authors
Keywords
-
Journal
Symmetry-Basel
Volume 12, Issue 12, Pages 2007
Publisher
MDPI AG
Online
2020-12-11
DOI
10.3390/sym12122007
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Inertial extragradient method via viscosity approximation approach for solving equilibrium problem in Hilbert space
- (2020) L. O. Jolaoso et al. OPTIMIZATION
- Deep Neural Network Structures Solving Variational Inequalities
- (2020) Patrick L. Combettes et al. Set-Valued and Variational Analysis
- Weak and strong convergence Bregman extragradient schemes for solving pseudo-monotone and non-Lipschitz variational inequalities
- (2020) Lateef Olakunle Jolaoso et al. JOURNAL OF INEQUALITIES AND APPLICATIONS
- Iterative method with inertial terms for nonexpansive mappings: applications to compressed sensing
- (2019) Yekini Shehu et al. NUMERICAL ALGORITHMS
- A unified algorithm for solving variational inequality and fixed point problems with application to the split equality problem
- (2019) L. O. Jolaoso et al. computational and applied mathematics
- Strong convergence of a double projection-type method for monotone variational inequalities in Hilbert spaces
- (2018) Christian Kanzow et al. Journal of Fixed Point Theory and Applications
- A New Double-Projection Method for Solving Variational Inequalities in Banach Spaces
- (2018) Gang Cai et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Convergence theorems of subgradient extragradient algorithm for solving variational inequalities and a convex feasibility problem
- (2018) C. E. Chidume et al. Fixed Point Theory and Applications
- Robust solutions to box-constrained stochastic linear variational inequality problem
- (2017) Mei-Ju Luo et al. JOURNAL OF INEQUALITIES AND APPLICATIONS
- Solving variational inequalities with monotone operators on domains given by Linear Minimization Oracles
- (2015) Anatoli Juditsky et al. MATHEMATICAL PROGRAMMING
- Modified projection method for strongly pseudomonotone variational inequalities
- (2013) Pham Duy Khanh et al. JOURNAL OF GLOBAL OPTIMIZATION
- A conjugate gradient method to solve convex constrained monotone equations with applications in compressive sensing
- (2013) Yunhai Xiao et al. JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS
- Fixed point and weak convergence theorems for point-dependent λ-hybrid mappings in Banach spaces
- (2012) Young-Ye Huang et al. Fixed Point Theory and Applications
- Algorithms for the Split Variational Inequality Problem
- (2011) Yair Censor et al. NUMERICAL ALGORITHMS
- Strong convergence of subgradient extragradient methods for the variational inequality problem in Hilbert space
- (2011) Yair Censor et al. OPTIMIZATION METHODS & SOFTWARE
- Iterative Methods for Solving Systems of Variational Inequalities in Reflexive Banach Spaces
- (2011) Gábor Kassay et al. SIAM JOURNAL ON OPTIMIZATION
- Weak Convergence of an Iterative Method for Pseudomonotone Variational Inequalities and Fixed-Point Problems
- (2010) L. C. Ceng et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- The Subgradient Extragradient Method for Solving Variational Inequalities in Hilbert Space
- (2010) Y. Censor et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Extensions of Korpelevich's extragradient method for the variational inequality problem in Euclidean space
- (2010) Yair Censor et al. OPTIMIZATION
- Forcing strong convergence of Korpelevich’s method in Banach spaces with its applications in game theory
- (2009) Javad Mashreghi et al. NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS
- A Strongly Convergent Direct Method for Monotone Variational Inequalities in Hilbert Spaces
- (2009) J. Y. Bello Cruz et al. NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started