The following pages link to Decoding by Linear Programming (Q3546644):
Displaying 50 items.
- Scaled proximal gradient methods for sparse optimization problems (Q6184263) (← links)
- Optimality conditions for Tucker low-rank tensor optimization (Q6188055) (← links)
- Secure estimation against non‐fixed channel attacks in cyber‐physical systems (Q6190303) (← links)
- Stable Recovery of Sparsely Corrupted Signals Through Justice Pursuit De-Noising (Q6191886) (← links)
- A Path-Based Approach to Constrained Sparse Optimization (Q6202768) (← links)
- Pareto-efficient designs for multi- and mixed-level supersaturated designs (Q6494384) (← links)
- Sparse learning model with embedded RIP conditions for turbulence super-resolution reconstruction (Q6497206) (← links)
- Theoretical analysis of GOMP based on RIP and ROC (Q6498452) (← links)
- Distributed continuous-time accelerated neurodynamic approaches for sparse recovery via smooth approximation to \(L_1\)-minimization (Q6535872) (← links)
- Convergence properties of stochastic proximal subgradient method in solving a class of composite optimization problems with cardinality regularizer (Q6536946) (← links)
- Towards probabilistic robust and sparsity-free compressive sampling in civil engineering: a review (Q6538371) (← links)
- Short proofs of ideal membership (Q6543081) (← links)
- Stable recovery of approximately block \(k\)-sparse signals with partial block support information via weighted \(\ell_2/\ell_p\) (\(0 < p \leq 1\)) minimization (Q6546494) (← links)
- Tensor sparse representation via Einstein product (Q6552661) (← links)
- Matrix recovery from nonconvex regularized least absolute deviations (Q6557678) (← links)
- A fast and effective algorithm for sparse linear regression with \(\ell_p\)-norm data fidelity and elastic net regularization (Q6561486) (← links)
- Adaptive Algorithm for Multi-Armed Bandit Problem with High-Dimensional Covariates (Q6567892) (← links)
- Random projections for linear programming: an improved retrieval phase (Q6579780) (← links)
- Joint sparse optimization: lower-order regularization method and application in cell fate conversion (Q6581202) (← links)
- Uniform RIP analysis for the \(\ell_p- \omega \ell_q\) minimization (Q6582054) (← links)
- Cardinality minimization, constraints, and regularization: a survey (Q6585278) (← links)
- Identifying the source term in the potential equation with weighted sparsity regularization (Q6590630) (← links)
- Sparse recovery with coherent frames via \(\ell_{1-2}\)-analysis (Q6591729) (← links)
- Inexact fixed-point proximity algorithm for the \(\ell_0\) sparse regularization problem (Q6594655) (← links)
- Compressed least squares algorithm of continuous-time linear stochastic regression model using sampling data (Q6595041) (← links)
- Compressed data separation via \(\ell_q\)-split analysis with \(\ell_\infty\)-constraint (Q6596308) (← links)
- The stable reconstruction of strongly-decaying block sparse signals (Q6597929) (← links)
- A sketch-and-select Arnoldi process (Q6598496) (← links)
- Learning the sparse prior: modern approaches (Q6604367) (← links)
- Subspace Newton method for sparse group \(\ell_0\) optimization problem (Q6607024) (← links)
- Convergence analysis on the alternating direction method of multipliers for the cosparse optimization problem (Q6616925) (← links)
- Deep learning for ill posed inverse problems in medical imaging (Q6620625) (← links)
- Sequential Scaled Sparse Factor Regression (Q6620886) (← links)
- An Interactive Greedy Approach to Group Sparsity in High Dimensions (Q6621653) (← links)
- Non-negative sparse recovery via momentum-boosted adaptive thresholding algorithm (Q6629226) (← links)
- Selection of Two-Level Supersaturated Designs for Main Effects Models (Q6631115) (← links)
- Reflective block Kaczmarz algorithms for least squares (Q6635270) (← links)
- Constrained mix sparse optimization via hard thresholding pursuit (Q6635782) (← links)
- From theoretical guarantee to practical performance: selectable and optimal step-lengths for IHT and HTP algorithms in compressed sensing (Q6636480) (← links)
- A structurally informed data assimilation approach for nonlinear partial differential equations (Q6639315) (← links)
- Asymptotically faster estimation of high-dimensional additive models using subspace learning (Q6641032) (← links)
- A preconditioned Riemannian gradient descent algorithm for low-rank matrix recovery (Q6641764) (← links)
- Iteratively reweighted least squares for block sparse signal recovery with unconstrained \(l_{2,p}\) minimization (Q6649926) (← links)
- Approximation theory of wavelet frame based image restoration (Q6652572) (← links)
- Inverse problems are solvable on real number signal processing hardware (Q6652581) (← links)
- Box Constraints and Weighted Sparsity Regularization for Identifying Sources in Elliptic PDEs (Q6655469) (← links)
- Group projected subspace pursuit for block sparse signal reconstruction: convergence analysis and applications (Q6657433) (← links)
- Dynamic thresholding algorithm with memory for linear inverse problems (Q6659673) (← links)
- Kurdyka-Łojasiewicz exponent via Hadamard parametrization (Q6663111) (← links)
- Compressed data separation under \(\ell_p\) bounded noise (Q6665935) (← links)
