Matrix-free interior point method for compressed sensing problems

From MaRDI portal
Publication:744215

DOI10.1007/s12532-013-0063-6zbMath1304.90137arXiv1208.5435OpenAlexW2077472656MaRDI QIDQ744215

Kimon Fountoulakis, Pavel Zhlobich, Jacek Gondzio

Publication date: 6 October 2014

Published in: Mathematical Programming Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1208.5435



Related Items

Sparse Approximations with Interior Point Methods, Douglas-Rachford splitting method for semidefinite programming, OSGA: a fast subgradient algorithm with optimal complexity, Robust Decoding from 1-Bit Compressive Sampling with Ordinary and Regularized Least Squares, A Preconditioner for A Primal-Dual Newton Conjugate Gradient Method for Compressed Sensing Problems, An Iterative Reduction FISTA Algorithm for Large-Scale LASSO, A New Stopping Criterion for Krylov Solvers Applied in Interior Point Methods, Distributed Sparse Composite Quantile Regression in Ultrahigh Dimensions, Matrix-Free Convex Optimization Modeling, Distributed Decoding From Heterogeneous 1-Bit Compressive Measurements, A Highly Efficient Semismooth Newton Augmented Lagrangian Method for Solving Lasso Problems, An active-set proximal-Newton algorithm for \(\ell_1\) regularized optimization problems with box constraints, A variable fixing version of the two-block nonlinear constrained Gauss-Seidel algorithm for \(\ell_1\)-regularized least-squares, A matrix-free smoothing algorithm for large-scale support vector machines, A gradient descent based algorithm for \(\ell_p\) minimization, Interior-point solver for convex separable block-angular problems, An Efficient Proximal Block Coordinate Homotopy Method for Large-Scale Sparse Least Squares Problems, A second-order method for convex1-regularized optimization with active-set prediction, An ADMM-based interior-point method for large-scale linear programming, A view of computational models for image segmentation, An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising, Material-separating regularizer for multi-energy x-ray tomography, An active-set proximal quasi-Newton algorithm for ℓ1-regularized minimization over a sphere constraint


Uses Software


Cites Work