Mateusz Baran

> Very interesting! But we would need probably (yet again) distributions on manifolds more thoroughly. Probably, I will have to investigate it. For now I wanted to keep an issue...

@AdrienAngeAndre I'm reading these papers about SDEs on manifolds and one thing I can't find is a generic and intrinsic definition of what an SDE on a manifold is. The...

Thanks! I'm currently working on an idea of providing a mathematically consistent description of concepts appearing in state estimation in robotics with concrete numerical examples using JuliaManifolds. I'm not going...

I've made the following script: ```julia using Manifolds using Markdown using Distributions using Makie using GLMakie using LinearAlgebra @doc raw""" simple_stochastic_integrator(M::AbstractManifold, F, p0, h::Real, N:Int) Simulate the stochastic process on...

Thanks! I didn't have a better naming idea. > Just to check: the line "get_vector(M, p_i, ξ, B)" returns an element of the tangent space at p_i whose coordinates in...

Bump @stevengj ?

Sure, that sounds feasible, with a small caveat that I would like to use such move to revisit abstractions defined for `VectorBundle` and that would take some time.

I haven't coded a not-in-place variant of `ManifoldODEProblem` yet. Manifolds.jl has some support for not-in-place computations but in-place is the default because it makes more sense in most contexts. However...

Good idea. For reference, LineSearches.jl already supports this through the `dϕ` function. Also, quite often we need both value of the objective and the differential, and it is often cheaper...

Hi! Thanks for looking into this. It's been a couple of years since I've implemented it and I remember I've struggled quite a lot to figure out how to translate...