Forward–backward-based descent methods for composite variational inequalities
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Publication:2867402
DOI10.1080/10556788.2011.645033zbMath1282.90196OpenAlexW2087803485MaRDI QIDQ2867402
Publication date: 19 December 2013
Published in: Optimization Methods and Software (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10556788.2011.645033
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Cites Work
- Ergodic convergence to a zero of the sum of monotone operators in Hilbert space
- Solving a class of linear projection equations
- A new method for a class of linear variational inequalities
- Splitting-type method for systems of variational inequalities
- Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations
- Robust principal component analysis?
- A Singular Value Thresholding Algorithm for Matrix Completion
- Fixed-Point Continuation for $\ell_1$-Minimization: Methodology and Convergence
- Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
- A forward–backward splitting algorithm for the minimization of non-smooth convex functionals in Banach space
- Splitting Algorithms for the Sum of Two Nonlinear Operators
- Convergence Rates in Forward--Backward Splitting
- Modified Projection-Type Methods for Monotone Variational Inequalities
- A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings
- Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing
- Signal Recovery by Proximal Forward-Backward Splitting
- Convex Analysis
- Improvements of some projection methods for monotone nonlinear variational inequalities