Convergence properties of a randomized primal-dual algorithm with applications to parallel MRI
From MaRDI portal
Publication:826182
DOI10.1007/978-3-030-75549-2_21zbMath1487.90497arXiv2012.01255OpenAlexW3160664862MaRDI QIDQ826182
Claire Delplancke, Matthias J. Ehrhardt, Eric B. Gutiérrez
Publication date: 20 December 2021
Full work available at URL: https://arxiv.org/abs/2012.01255
stochastic optimizationconvex optimizationinverse problemsprimal-dual algorithmparallel magnetic resonance imaging
Convex programming (90C25) Stochastic programming (90C15) Biomedical imaging and signal processing (92C55)
Cites Work
- Unnamed Item
- Nonlinear total variation based noise removal algorithms
- A first-order primal-dual algorithm for convex problems with applications to imaging
- Mathematical image processing. Translated from the German
- An adaptive primal-dual framework for nonsmooth convex minimization
- Randomized primal-dual proximal block coordinate updates
- A Class of Randomized Primal-Dual Algorithms for Distributed Optimization
- A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
- Nonasymptotic convergence of stochastic proximal point algorithms for constrained convex optimization
- Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
- A Coordinate-Descent Primal-Dual Algorithm with Large Step Size and Possibly Nonseparable Functions
- Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications
- A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization
- Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
- Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations with Random Sweeping
- An introduction to continuous optimization for imaging
This page was built for publication: Convergence properties of a randomized primal-dual algorithm with applications to parallel MRI