Iterative Discretization of Optimization Problems Related to Superresolution - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

Iterative Discretization of Optimization Problems Related to Superresolution

Résumé

We study an iterative discretization algorithm for solving optimization problems regularized by the total variation norm over the space M(Ω) of Radon measures on a bounded subset Ω of R d. Our main motivation to study this problem is the recovery of sparse atomic measures from linear measurements. Under reasonable regularity conditions, we arrive at a linear convergence rate guarantee.
Fichier principal
Vignette du fichier
sampta_TV_discretization.pdf (1004.71 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02374468 , version 1 (21-11-2019)

Identifiants

  • HAL Id : hal-02374468 , version 1

Citer

Axel Flinth, Pierre Weiss. Iterative Discretization of Optimization Problems Related to Superresolution. SAMPTA, Jul 2019, bordeaux, France. ⟨hal-02374468⟩
35 Consultations
78 Téléchargements

Partager

Gmail Facebook X LinkedIn More