DOI10.1137/0907087zbMath0602.73113OpenAlexW2075894130WikidataQ62065856 ScholiaQ62065856MaRDI QIDQ3738719
William W. Symes, Fadil Santosa
Publication date: 1986
Published in: SIAM Journal on Scientific and Statistical Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/0907087
Learning nonlinear turbulent dynamics from partial observations via analytically solvable conditional statistics,
Ridge regression and the Lasso: how do they do as finders of significant regressors and their multipliers?,
Semiparametric Regression for Dual Population Mortality,
Near-ideal model selection by \(\ell _{1}\) minimization,
Robust verification of stochastic simulation codes,
A Linearly Convergent Algorithm for Solving a Class of Nonconvex/Affine Feasibility Problems,
Entropic Regularization of the ℓ 0 Function,
A Mortality Model for Pandemics and Other Contagion Events,
Modelling and forecasting based on recursive incomplete pseudoinverse matrices,
Book Review: A mathematical introduction to compressive sensing,
Reconstruction of blocky impedance profiles from normal-incidence reflection seismograms which are band-limited and miscalibrated,
Numerical bifurcation analysis of PDEs from lattice Boltzmann model simulations: a parsimonious machine learning approach,
Single frame image super-resolution: should we process locally or globally?,
Sparse index clones via the sorted ℓ1-Norm,
Optimization Methods for Synthetic Aperture Radar Imaging,
Minimization of $L_1$ Over $L_2$ for Sparse Signal Recovery with Convergence Guarantee,
Nonconvex flexible sparsity regularization: theory and monotone numerical schemes,
Nonlinear regularization techniques for seismic tomography,
Gradient methods for minimizing composite functions,
A novel regularization based on the error function for sparse recovery,
Theory of compressive sensing via \(\ell_1\)-minimization: a non-RIP analysis and extensions,
Exact support recovery for sparse spikes deconvolution,
Sampling the Fourier Transform Along Radial Lines,
\(L_2\)-\(L_q\) reconstruction model for computational spectrometer,
Sharp recovery bounds for convex demixing, with applications,
Efficient learning rate adaptation based on hierarchical optimization approach,
A theory of capacity and sparse neural encoding,
Logic explained networks,
A causality-based learning approach for discovering the underlying dynamics of complex systems from partial observations with stochastic parameterization,
Sparsity in long-time control of neural ODEs,
A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems,
Accelerate the warm-up stage in the Lasso computation via a homotopic approach,
IFF: A Superresolution Algorithm for Multiple Measurements,
LASSO Reloaded: A Variational Analysis Perspective with Applications to Compressed Sensing,
Sparse basis pursuit for compliance minimization in the vanishing volume ratio limit,
Robust oracle estimation and uncertainty quantification for possibly sparse quantiles,
Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models,
A compressed sensing based least squares approach to semi-supervised local cluster extraction,
Nonlocal Basis Pursuit: Nonlocal Optimal Design of Conductive Domains in the Vanishing Material Limit,
A survey on compressed sensing approach to systems and control,
On the determination of Lagrange multipliers for a weighted Lasso problem using geometric and convex analysis techniques,
Super-resolution of point sources via convex programming,
Compressive Sensing,
Flexible sparse regularization,
An inverse problem in reaction kinetics,
Sparse signal reconstruction based on multiparameter approximation function with smoothed \(\ell_0\) norm,
Generalized solution of linear systems and image restoration,
A Sampling Theorem for Deconvolution in Two Dimensions,
Discrete uncertainty principles and sparse signal processing,
Quantitative integration of radiomic and genomic data improves survival prediction of low-grade glioma patients,
Fast L1-L2 minimization via a proximal operator,
MultiDimensional Sparse Super-Resolution,
Support recovery for sparse super-resolution of positive measures,
Sparse recovery under weak moment assumptions,
Piecewise Polynomial Solutions Without a priori Break Points,
Observability for initial value problems with sparse initial data,
Towards a Mathematical Theory of Super‐resolution,
Randomization of data acquisition and \(\ell_{1}\)-optimization (recognition with compression),
Compressive wave computation,
L1Packv2: A Mathematica package for minimizing an \(\ell _{1}\)-penalized functional,
High-Dimensional Least-Squares with Perfect Positive Correlation,
A Multiple Measurement Vector Approach to Synthetic Aperture Radar Imaging,
When do stepwise algorithms meet subset selection criteria?,
Low Complexity Regularization of Linear Inverse Problems,
Enhancing sparsity by reweighted \(\ell _{1}\) minimization,
An accelerated version of alternating direction method of multipliers for TV minimization in EIT,
Deep learning as optimal control problems: models and numerical methods,
Full Waveform Inversion Using Extended and Simultaneous Sources,
Linearly involved generalized Moreau enhanced models and their proximal splitting algorithm under overall convexity condition,
Iteratively reweighted least squares minimization for sparse recovery,
Ensemble Kalman inversion for sparse learning of dynamical systems from time-averaged data,
Error analysis of reweighted \(l_1\) greedy algorithm for noisy reconstruction,
Compressed sensing in the spherical near-field to far-field transformation