Pages that link to "Item:Q670842"
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The following pages link to A fast proximal point algorithm for \(\ell_{1}\)-minimization problem in compressed sensing (Q670842):
Displaying 10 items.
- The matrix splitting based proximal fixed-point algorithms for quadratically constrained \(\ell_{1}\) minimization and Dantzig selector (Q1686207) (← links)
- Smoothed \(\ell_1\)-regularization-based line search for sparse signal recovery (Q1701931) (← links)
- Fast L1-L2 minimization via a proximal operator (Q1742664) (← links)
- Primal and dual alternating direction algorithms for \(\ell _{1}\)-\(\ell _{1}\)-norm minimization problems in compressive sensing (Q1946621) (← links)
- Coordinate descent optimization for \(l^{1}\) minimization with application to compressed sensing; a greedy algorithm (Q2268312) (← links)
- An accelerated proximal augmented Lagrangian method and its application in compressive sensing (Q2412861) (← links)
- A relaxed-PPA contraction method for sparse signal recovery (Q2440190) (← links)
- Convergence rate analysis for fixed-point iterations of generalized averaged nonexpansive operators (Q2675377) (← links)
- A proximal splitting method for separable convex programming and its application to compressive sensing (Q3455368) (← links)
- A New Insight on Augmented Lagrangian Method with Applications in Machine Learning (Q6493955) (← links)
