A review on graph optimization and algorithmic frameworks
Résumé
In this report, we make a review of optimization problems involving graphs and state-of-the-art algorithms to solve them. First, we present a set of discrete optimization problems and resolution methods for edge selection problems. Then, we address the matrix optimization problems involved
in the estimation of precision or covariance matrices given observations from multivariate Gaussian distribution.
| Origine | Fichiers produits par l'(les) auteur(s) |
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