CUED Publications database

Manopt, a matlab toolbox for optimization on manifolds

Boumal, N and Mishra, B and Absil, PA and Sepulchre, R (2014) Manopt, a matlab toolbox for optimization on manifolds. Journal of Machine Learning Research, 15. pp. 1455-1459. ISSN 1532-4435

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Optimization on manifolds is a rapidly developing branch of nonlinear optimization. Its focus is on problems where the smooth geometry of the search space can be leveraged to design effcient numerical algorithms. In particular, optimization on manifolds is well-suited to deal with rank and orthogonality constraints. Such structured constraints appear pervasively in machine learning applications, including low-rank matrix completion, sensor network localization, camera network registration, independent component analysis, metric learning, dimensionality reduction and so on. The Manopt toolbox, available at, is a user-friendly, documented piece of software dedicated to simplify experimenting with state of the art Riemannian optimization algorithms. By dealing internally with most of the differential geometry, the package aims particularly at lowering the entrance barrier. © 2014 Nicolas Boumal.

Item Type: Article
Divisions: Div F > Control
Depositing User: Unnamed user with email
Date Deposited: 17 Jul 2017 18:57
Last Modified: 09 Sep 2021 02:49