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...
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Published in | Journal of mathematical imaging and vision Vol. 40; no. 1; pp. 120 - 145 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Boston
Springer US
01.05.2011
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Subjects | |
Online Access | Get full text |
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