Pages that link to "Item:Q2998011"
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The following pages link to A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation (Q2998011):
Displaying 50 items.
- FPC_AS (Q24149) (← links)
- Nomonotone spectral gradient method for sparse recovery (Q256063) (← links)
- A proximal method for composite minimization (Q304260) (← links)
- A family of second-order methods for convex \(\ell _1\)-regularized optimization (Q312690) (← links)
- An active set algorithm for nonlinear optimization with polyhedral constraints (Q341314) (← links)
- ParNes: A rapidly convergent algorithm for accurate recovery of sparse and approximately sparse signals (Q372857) (← links)
- Nonmonotone Barzilai-Borwein gradient algorithm for \(\ell_1\)-regularized nonsmooth minimization in compressive sensing (Q474971) (← links)
- A variable fixing version of the two-block nonlinear constrained Gauss-Seidel algorithm for \(\ell_1\)-regularized least-squares (Q480935) (← links)
- Equivalence and strong equivalence between the sparsest and least \(\ell _1\)-norm nonnegative solutions of linear systems and their applications (Q489110) (← links)
- A Barzilai-Borwein type method for minimizing composite functions (Q494671) (← links)
- Decomposable norm minimization with proximal-gradient homotopy algorithm (Q513723) (← links)
- Fixed point and Bregman iterative methods for matrix rank minimization (Q543413) (← links)
- A new generalized shrinkage conjugate gradient method for sparse recovery (Q667880) (← links)
- A pseudo-heuristic parameter selection rule for \(l^1\)-regularized minimization problems (Q679565) (← links)
- New augmented Lagrangian-based proximal point algorithm for convex optimization with equality constraints (Q727234) (← links)
- Matrix-free interior point method for compressed sensing problems (Q744215) (← links)
- Iteratively weighted thresholding homotopy method for the sparse solution of underdetermined linear equations (Q829377) (← links)
- Adaptive projected gradient thresholding methods for constrained \(l_0\) problems (Q892792) (← links)
- A regularized semi-smooth Newton method with projection steps for composite convex programs (Q1668726) (← links)
- Global convergence of proximal iteratively reweighted algorithm (Q1675580) (← links)
- Templates for convex cone problems with applications to sparse signal recovery (Q1762456) (← links)
- A cyclic projected gradient method (Q1946620) (← links)
- New nonsmooth equations-based algorithms for \(\ell_1\)-norm minimization and applications (Q1952757) (← links)
- An efficient adaptive forward-backward selection method for sparse polynomial chaos expansion (Q1988232) (← links)
- Stochastic variance reduced gradient methods using a trust-region-like scheme (Q1995995) (← links)
- Sequential sparse Bayesian learning with applications to system identification for damage assessment and recursive reconstruction of image sequences (Q2020862) (← links)
- A decomposition method for Lasso problems with zero-sum constraint (Q2106751) (← links)
- Sparse solutions to an underdetermined system of linear equations via penalized Huber loss (Q2129205) (← links)
- A truncated Newton algorithm for nonconvex sparse recovery (Q2143093) (← links)
- A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization (Q2149551) (← links)
- An interior stochastic gradient method for a class of non-Lipschitz optimization problems (Q2161545) (← links)
- An active-set proximal-Newton algorithm for \(\ell_1\) regularized optimization problems with box constraints (Q2219645) (← links)
- An active set Barzilar-Borwein algorithm for \(l_0\) regularized optimization (Q2307750) (← links)
- ``Active-set complexity'' of proximal gradient: how long does it take to find the sparsity pattern? (Q2311100) (← links)
- An adaptive accelerated proximal gradient method and its homotopy continuation for sparse optimization (Q2352420) (← links)
- Forward-backward quasi-Newton methods for nonsmooth optimization problems (Q2364124) (← links)
- A preconditioned conjugate gradient method with active set strategy for \(\ell_1\)-regularized least squares (Q2422134) (← links)
- A simple homotopy proximal mapping algorithm for compressive sensing (Q2425244) (← links)
- Heat source identification based on \(\ell_1\) constrained minimization (Q2437931) (← links)
- Linearized alternating directions method for \(\ell_1\)-norm inequality constrained \(\ell_1\)-norm minimization (Q2509909) (← links)
- An active set Newton-CG method for \(\ell_1\) optimization (Q2659721) (← links)
- A fast active set block coordinate descent algorithm for \(\ell_1\)-regularized least squares (Q2796799) (← links)
- A second-order method for convex<sub>1</sub>-regularized optimization with active-set prediction (Q2815550) (← links)
- Splitting augmented Lagrangian method for optimization problems with a cardinality constraint and semicontinuous variables (Q2829575) (← links)
- A multilevel framework for sparse optimization with application to inverse covariance estimation and logistic regression (Q2830631) (← links)
- On the convergence of an active-set method for ℓ<sub>1</sub>minimization (Q2905351) (← links)
- Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions (Q3176252) (← links)
- Search Direction Correction with Normalized Gradient Makes First-Order Methods Faster (Q3382800) (← links)
- Fast sparse reconstruction: Greedy inverse scale space flows (Q3450035) (← links)
- An algorithm for quadratic ℓ<sub>1</sub>-regularized optimization with a flexible active-set strategy (Q3458840) (← links)
