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Changelog

All notable changes to this Julia package will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

0.1.17 (– 16/10/2025)

Added

  • An example comparing spectral and robust Procrustes

Changed

0.1.16 (– 03/10/2025)

Added

  • Two numerical experiments from the Proximal Gradient preprints.

0.1.15 (– 18/08/2025)

Added

  • Numerical experiments from the Proximal Gradient preprints.

0.1.14 (– 14/04/2025)

Added

  • Projected Gradient example.

0.1.13 (– 21/03/2025)

Changed

  • Updated numerical experiments from the Riemannian Convex Bundle paper.

0.1.12 (– 11/02/2025)

Changed

  • Update ManifoldDiff.jl compat to 0.4.

0.1.11 (– 10/02/2025)

Changed

  • Bump dependencies on CI
  • Adapt to ManifoldsBase 1.0

0.1.10 (– 18/10/2024)

Changed

  • Bump dependencies

0.1.9 (– 28/06/2024)

Added

  • Three numerical experiments from the Riemannian Convex Bundle paper.

0.1.8 (– 12/06/2024)

Changed

  • use range compatible with Julia 1.6 and hence lower the compatibility entry for Julia again.

0.1.7 (– 07/06/2024)

Changed

  • make Manopt.jl a weak dependency and load functions that require parts of it only load as an extension. This makes it easier to use the examples in the tests of Manopt itself.

0.1.6 (– 22/03/2024)

Added

  • Hyperparameter optimization example.

0.1.3 (– 11/12/2023)

Added

  • Total variation Minimization cost, proxes, and an example
  • Bézier curve cost, gradients, and an example.

0.1.3 (– 16/09/2023)

Added

  • Rayleigh Quotient functions added
  • an example illustrating Euclidean gradient/HEssian conversion
  • Add Literature with DocumenterCitations

0.1.2 (– 13/06/2023)

Added

  • Update examples to use Quarto
  • Add DC examples

0.1.1 (– 01/03/2023)

Added

  • Rosenbrock function and examples

0.1.0 (– 18/02/2023)

Added

  • Setup the project to collect example objectives for Manopt.jl which are well-documented and well-tested
  • Setup Documentation to provide one example Quarto file for every example objective to illustrate how to use them.