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Reposted by Julia Manifolds

Ronny Bergmann @ronnybergmann.net · 18/09/2026

We have been working on finishing several small twirls and bugs in Manopt.jl recently, see our roadmap github.com/JuliaManifol... If you are or consider using Manopt.jl and have points you would like to see included, now is a good time to comment on that issue or open new ones. #julialang #Manopt

github.com

Manopt.jl Roadmap to 1.0 · Issue #297 · JuliaManifolds/Manopt.jl

I feel that by now the overall architecture of Manopt.jl seems reasonably stable. In this issue I would like to keep track of (probably breaking) changes and improvements that would need to be done...

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Julia Manifolds @juliamanifolds.bsky.social · 04/07/2026

In Manopt.jl 0.6.1 we introduce a new solver: Gradient Sampling, following the paper by Hosseini and Uschmajew epubs.siam.org/doi/10.1137/... – see the documentation at manoptjl.org/stable/solve...

manoptjl.org

Gradient Sampling · Manopt.jl

Documentation for Manopt.jl.

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Julia Manifolds @juliamanifolds.bsky.social · 25/06/2026

The robust Riemannian Levenberg-Marquardt presented in the preprint is now also available in the newest version 0.6.0 of Manopt.jl manoptjl.org/stable/solve...

manoptjl.org

Levenberg–Marquardt · Manopt.jl

Documentation for Manopt.jl.

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Julia Manifolds @juliamanifolds.bsky.social · 13/01/2026

Accompanying the talk at the last JuliaCon and the LieGroups.jl package, we now have a JuliaCon Proceedings paper giving a short introduction to Lie groups and how to work with them in Julia doi.org/10.21105/jco...

doi.org

Groups and smooth geometry using LieGroups.jl

Bergmann et al., (2026). Groups and smooth geometry using LieGroups.jl. The Proceedings of the JuliaCon Conferences, 8(79), 195, https://doi.org/10.21105/jcon.00195

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Julia Manifolds @juliamanifolds.bsky.social · 22/12/2025

Mateusz Baran gave a nice overview at #JuliaCon2025 about the JuliaManifolds ecosystem in #julialang: Manifolds in numerical computations with JuliaManifolds youtu.be/ybbhy8nnlEA?...

youtu.be

Manifolds in numerical computations with JuliaManifolds | Baran | JuliaCon Global 2025

YouTube video by The Julia Programming Language

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Reposted by Julia Manifolds

arXiv stat.ME Methodology @statme-bot.bsky.social · 08/10/2025

Hajg Jasa, Ronny Bergmann, Christian K\"ummerle, Avanti Athreya, Zachary Lubberts: Procrustes Problems on Random Matrices arxiv.org/abs/2510.05182 arxiv.org/pdf/2510.05182 arxiv.org/html/2510.05182

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Julia Manifolds @juliamanifolds.bsky.social · 04/07/2025

On Manifolds, the gradient depends on the Riemannian metric, the differential does not. For a costly metric, using the gradient for the differential might be costly. Manopt.jl 0.5.19 now offers first order objectives with dedicated implementations of differentials: manoptjl.org/stable/plans...

manoptjl.org

Objective · Manopt.jl

Documentation for Manopt.jl.

110

Julia Manifolds @juliamanifolds.bsky.social · 03/06/2025

We have a new package nearly ready to be registered. GeometricKalman.jl – state estimation on non-Euclidean spaces. You can already read the arXiv preprint:

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Julia Manifolds @juliamanifolds.bsky.social · 22/04/2025

We have a new package! LieGroups.jl juliamanifolds.github.io/LieGroups.jl... provides Lie groups based in Manifolds.jl. See the full announcement at discourse.julialang.org/t/ann-liegro...

juliamanifolds.github.io

Home · LieGroups.jl

Documentation for LieGroups.jl.

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Julia Manifolds @juliamanifolds.bsky.social · 17/04/2025

The newest version of Manopt.jl – 0.5.12 introduces a new algorithm: The gradient projection method. See manoptjl.org/stable/solve... as well as the arXiv preprint arxiv.org/abs/2504.11815 #Manifolds #julialang #Manopt

manoptjl.org

Projected Gradient Method · Manopt.jl

Documentation for Manopt.jl.

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Julia Manifolds @juliamanifolds.bsky.social · 20/02/2025

In the new version Manopt.jl v0.5.7 we introduce the Mesh Adaptive Direct Reach (MADS) algorithm(s) manoptjl.org/stable/solve... mainly providing the LTMADS which @oddsen.bsky.social worked on in his masters thesis. Thanks Sander! #Manifolds #julialang #Manopt

manoptjl.org

MADS · Manopt.jl

Documentation for Manopt.jl.

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Julia Manifolds @juliamanifolds.bsky.social · 28/02/2024

🔈 Manopt.jl v0.4.54 🏔️ We introduce two new solvers: • The Convex Bundle Method manoptjl.org/stable/solve... • The Proximal Bundle Method manoptjl.org/stable/solve... to solve, (convex) nonsmooth optimization problems on Riemannian manifolds. The first one is also discussed in the paper from

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Julia Manifolds @juliamanifolds.bsky.social · 19/12/2023

If you are working with Manifolds.jl or want to learn what it is and how to use it, our paper was published last week: dl.acm.org/doi/10.1145/...

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Julia Manifolds @juliamanifolds.bsky.social · 15/11/2023

We now have a new (aggregated) home! juliamanifolds.github.io is an aggregation of all manifold related packages. While each package still has their URL for an individual documentation, this common place especially features a global search over all these packages.

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Julia Manifolds @juliamanifolds.bsky.social · 06/11/2023

The new version of Manopt.jl – 0.4.42 – adds an extension that allows algorithms from Manopt.jl together with manifolds fron Manifolds.jl within jump.dev ! Check out manoptjl.org/stable/exten... for an example and the full documentation.

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Julia Manifolds @juliamanifolds.bsky.social · 24/10/2023

🔈Manifolds.jl 0.9 We now offer Manifolds with static or dynamic parameters! The first (classical) ones are super fast. The new ones might compile a bit faster and are more flexible while being not much slower. See all changes and what might break your previous code at github.com/JuliaManifol...

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Julia Manifolds @juliamanifolds.bsky.social · 24/10/2023

🔈 ManifoldsBase.jl v0.15 After quite a while – it was time for a major update * TangentSpace and ProductManifold are now already available in ManifoldsBase * several aspects were unified, e.g. allocation and error messages. See all changes at github.com/JuliaManifol...

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Julia Manifolds @juliamanifolds.bsky.social · 02/09/2023

🔈 Manopt.jl v0.4.34 🏔️ introduces the keyword `objective_type=:Euclidean`, which allows you to provide a Euclidean cost, gradient, Hessian in the embedding of a manifold, we then perform the conversion to Riemannian gradient and Hessian automatically in Manopt.jl See manoptjl.org/stable/tutor...

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Julia Manifolds @juliamanifolds.bsky.social · 02/09/2023

If you wuld like to learn how to use Manifolds.jl we now have a paper giving an introduction and comparison to other packages. S. D. Axen, M. Baran, R. Bergmann, K. Rzecki “Manifolds.jl: An Extensible Julia Framework for Data Analysis on Manifolds”, ACM TOMS, dx.doi.org/10.1145/3618...

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