Theoretical and numerical comparison of first order algorithms for cocoercive equations and smooth convex optimization

Author:

Briceño-Arias Luis M.ORCID,Pustelnik Nelly

Funder

ANR

ANID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference53 articles.

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5. Proximal algorithms;Parikh;Foundations and Trends in Optimization,2014

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1. Infimal post-composition approach for composite convex optimization applied to image restoration;Signal Processing;2024-10

2. On The Primal and Dual Formulations Of The Discrete Mumford-Shah Functional;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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