Manopt.jl

Manopt.jl provides a framework for optimization on manifolds. Based on Manopt and MVIRT, both implemented in Matlab, this toolbox aims to provide an easy access to optimization methods on manifolds for Julia, including example data and visualization methods.

Keywords for this software

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References in zbMATH (referenced in 5 articles , 1 standard article )

Showing results 1 to 5 of 5.
Sorted by year (citations)

  1. Ronny Bergmann: Manopt.jl: Optimization on Manifolds in Julia (2022) not zbMATH
  2. Yamakawa, Yuya; Sato, Hiroyuki: Sequential optimality conditions for nonlinear optimization on Riemannian manifolds and a globally convergent augmented Lagrangian method (2022)
  3. Bergmann, Ronny; Herzog, Roland; Silva Louzeiro, Maurício; Tenbrinck, Daniel; Vidal-Núñez, José: Fenchel duality theory and a primal-dual algorithm on Riemannian manifolds (2021)
  4. Diepeveen, Willem; Lellmann, Jan: An inexact semismooth Newton method on Riemannian manifolds with application to duality-based total variation denoising (2021)
  5. Seth D. Axen, Mateusz Baran, Ronny Bergmann, Krzysztof Rzecki: Manifolds.jl: An Extensible Julia Framework for Data Analysis on Manifolds (2021) arXiv