A fast conjugate gradient algorithm with active set prediction for ℓ1 optimization
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Publication:5238070
DOI10.1080/10556788.2018.1496433OpenAlexW2890208180MaRDI QIDQ5238070
Qing-Jie Hu, Wanyou Cheng, Dong-hui Li
Publication date: 28 October 2019
Published in: Optimization Methods and Software (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10556788.2018.1496433
Numerical analysis (65-XX) Calculus of variations and optimal control; optimization (49-XX) Operations research, mathematical programming (90-XX)
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- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- A modified Hestenes and Stiefel conjugate gradient algorithm for large-scale nonsmooth minimizations and nonlinear equations
- A new Kohn-Vogelius type formulation for inverse source problems
- A family of second-order methods for convex \(\ell _1\)-regularized optimization
- A coordinate gradient descent method for nonsmooth separable minimization
- A modified Polak-Ribière-Polyak conjugate gradient algorithm for nonsmooth convex programs
- Global convergence of BFGS and PRP methods under a modified weak Wolfe-Powell line search
- Performance of first- and second-order methods for \(\ell_1\)-regularized least squares problems
- A Fast Active Set Block Coordinate Descent Algorithm for $\ell_1$-Regularized Least Squares
- A second-order method for convex1-regularized optimization with active-set prediction
- On the convergence of an active-set method for ℓ1minimization
- Activity Identification and Local Linear Convergence of Forward--Backward-type Methods
- A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation
- A First-Order Smoothed Penalty Method for Compressed Sensing
- Gradient-Based Methods for Sparse Recovery
- Fixed-Point Continuation for $\ell_1$-Minimization: Methodology and Convergence
- A descent modified Polak–Ribière–Polyak conjugate gradient method and its global convergence
- A Preconditioner for A Primal-Dual Newton Conjugate Gradient Method for Compressed Sensing Problems
- An EM algorithm for wavelet-based image restoration
- From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
- Sparse Reconstruction by Separable Approximation
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search
- A Reduced-Space Algorithm for Minimizing $\ell_1$-Regularized Convex Functions
- Fast Image Recovery Using Variable Splitting and Constrained Optimization
- Local Linear Convergence of the Alternating Direction Method of Multipliers on Quadratic or Linear Programs
- A Two-Term PRP-Based Descent Method
- Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing
- IMRO: A Proximal Quasi-Newton Method for Solving $\ell_1$-Regularized Least Squares Problems
- Compressed sensing
- Benchmarking optimization software with performance profiles.
