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In the Readme, Manopt.jl is not yet mentioned nor on the start page https://docs.sciml.ai/Optimization/stable/, so I am not sure how far this has come.
There is a documentation page at https://docs…
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Error 1:
```
ERROR: PosDefException: matrix is not Hermitian; Cholesky factorization failed.
Stacktrace:
[1] non_hermitian_error()
@ StaticArrays ~/.julia/packages/StaticArrays/MSJcA/sr…
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As described in https://github.com/JuliaMolSim/GeometryOptimization.jl/pull/1#discussion_r1431722115 , one should be able to restrict atoms movement along a submanifold, e.g. certain atoms are allowed…
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Trying to find the equivalent of the inverse retraction available in matlab manopt manifold factories for pymanopt manifolds? Any hints?
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I had made a PR to someones repo with this tool, and then had to follow up with another PR to include some other file types. Unfortunately, after going through all the corrections it then told me that…
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Is it possible to use loss functions such as Huber, Tukey, and adaptive in Manopt.jl (specifically RLM)?
Similar to ceres solver: http://ceres-solver.org/nnls_modeling.html#lossfunction
Affie updated
2 months ago
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CC @kellertuer, @mateuszbaran, @pkofod
This is to continue the discussion from https://discourse.julialang.org/t/ann-manopt-jl/24906/17
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I have use “make mpi” get the following errors:
------------------------------------------------------------------------------
....
mpiifort -O3 -ip -unroll -scalar_rep -I"/opt/intel2018/compilers…
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I've encountered a weird issue with alpha value selection in Hager-Zhang. Let me illustrate. Here are the values computed during bracketing:
```julia
alphas = [0.0, 1.0, 0.5, 0.25, 0.117978810820317…
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TODO: check if https://github.com/JuliaDiff/AbstractDifferentiation.jl can be used for specifying differentiation backend (also relevant to Manopt.jl).