Julia Manifolds
@juliamanifolds.bsky.social
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We talk and write about Riemannian Manifolds in Julia. Curated by
@ronnybergmann.net
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...
add a skeleton here at some point
1 day ago
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Mateusz Baran gave a nice overview at
#JuliaCon2025
about the JuliaManifolds ecosystem in
#julialang
: Manifolds in numerical computations with JuliaManifolds
youtu.be/ybbhy8nnlEA?...
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Manifolds in numerical computations with JuliaManifolds | Baran | JuliaCon Global 2025
YouTube video by The Julia Programming Language
https://youtu.be/ybbhy8nnlEA?si=77VQZr1twgFjMImV
23 days ago
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At
#JuliaCOn2025
@ronnybergmann.net
gave a talk about LieGroups.jl. That is now available online
#julialang
#manifolds
#LieGroups
youtu.be/_L9u8r42oSQ?...
add a skeleton here at some point
about 1 month ago
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reposted by
Julia Manifolds
arXiv stat.ME Methodology
3 months ago
Hajg Jasa, Ronny Bergmann, Christian K\"ummerle, Avanti Athreya, Zachary Lubberts: Procrustes Problems on Random Matrices
https://arxiv.org/abs/2510.05182
https://arxiv.org/pdf/2510.05182
https://arxiv.org/html/2510.05182
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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...
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Objective · Manopt.jl
Documentation for Manopt.jl.
https://manoptjl.org/stable/plans/objective/#Manopt.ManifoldFirstOrderObjective
6 months ago
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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:
add a skeleton here at some point
8 months ago
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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...
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Home · LieGroups.jl
Documentation for LieGroups.jl.
https://juliamanifolds.github.io/LieGroups.jl/stable/
9 months ago
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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
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9 months ago
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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
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MADS · Manopt.jl
Documentation for Manopt.jl.
https://manoptjl.org/stable/solvers/mesh_adaptive_direct_search/
11 months ago
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We started a monthly community call recently! The next one is coming Tuesday, 16.00 (4pm) CET. You can find the zoom link on discourse
discourse.julialang.org/t/juliamanif...
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[JuliaManifolds] Digital Community Call
I recently happily noticed that there is some increased activity around Manifolds in the Julia related social areas. So I want to try to maybe move some of these discussions to a digital meeting. Eve...
https://discourse.julialang.org/t/juliamanifolds-digital-community-call/119378
12 months ago
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reposted by
Julia Manifolds
Ronny Bergmann
about 1 year ago
Short reintroduction for all my new followers: Hi! 👋 I work on numerical methods and optimization involving Riemannian manifolds
#mathsky
. I am a fan of
#julialang
, so I also implement these methods in Julia. Sometimes I take detours into documentation, e.g. with Quarto, for reproducible research.
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🔈 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
add a skeleton here at some point
almost 2 years ago
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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/...
about 2 years ago
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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.
about 2 years ago
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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.
about 2 years ago
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🔈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...
about 2 years ago
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🔈 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...
about 2 years ago
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🔈 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...
over 2 years ago
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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...
over 2 years ago
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