A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging

In this paper we study a first-order primal-dual algorithm for non-smooth convex optimization problems with known saddle-point structure. We prove convergence to a saddle-point with rate O (1/ N ) in finite dimensions for the complete class of problems. We further show accelerations of the proposed...

Full description

Saved in:
Bibliographic Details
Published inJournal of mathematical imaging and vision Vol. 40; no. 1; pp. 120 - 145
Main Authors Chambolle, Antonin, Pock, Thomas
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.05.2011
Subjects
Online AccessGet full text

Cover

Loading…