Exploiting low-rank structure in semidefinite programming by approximate operator splitting-Reference-Cited by-同舟云学术

Exploiting low-rank structure in semidefinite programming by approximate operator splitting

Published:2020-10-19 Issue:1 Volume:71 Page:117-144
ISSN:0233-1934
Container-title:Optimization
language:en
Short-container-title:Optimization

Author:

Souto Mario¹^ORCID,Garcia Joaquim D.¹²^ORCID,Veiga Álvaro¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Laboratory of Applied Mathematical Programming and Statistics (LAMPS), Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil

2. PSR-Inc, Rio de Janeiro, Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Informa UK Limited

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331934.2020.1823387

Reference107 articles.

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

3. Rontsis N, Goulart PJ, Nakatsukasa Y. Efficient semidefinite programming with approximate admm. preprint arXiv:191202767. 2019.

4. Sur l'approximation, par éléments finis d'ordre un, et la résolution, par pénalisation-dualité d'une classe de problèmes de Dirichlet non linéaires

5. On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators

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