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Some functions have sparse Jacobian or sparse Hessian and it can be usefull to obtain them as sparse matrices rather than accessing to the values through vector-jacobian or vector-hessian products fu…
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I did fast look too the code. And my first idea to add allocator, but I'm not sure. @allanleal If you have any ideas, please tell =)
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Hi,
Unfortunately, all the available (S)ODE integration subroutines in auto-differentiable Python frameworks (RK45, Dopri, etc.) behave very poorly with complex-valued functions [*]. In the Python …
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I am interested in some of the functionality of torch.autograd.functional (https://github.com/pytorch/pytorch/blob/master/torch/autograd/functional.py) in Pytorch for R (especially `jvp()` and `jacobi…
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I just discovered the Diffrax package and it's great! However, I'm encountering an issue where the gradient evaluation is 40-80 times slower than the forward pass for my particular network (a potentia…
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Cannot `nlsolve` with `MArray`. MWE:
```julia
julia> using NLsolve
julia> using StaticArrays
julia> function f!(F, x)
F[1] = (x[1]+3)*(x[2]^3-7)+18
F[2] = sin(x[2]*ex…
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## Description
Currently, derivatives of `cholesky_decompose` and `eigenvalues_sym` return lower triangular matrix.
This is what finite differences return because the implementation of those functio…
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```julia
using LinearAlgebra, OrdinaryDiffEq, SciMLSensitivity
function circuit(du, u, p, t)
L, C = p
du[1] = (-u[1] - u[2] + sin(t)) / C
du[2] = (u[1] - u[2])/L
end
u0 = zeros(…
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Someone asked me if it would be possible to nest an existing Stan model within a model defined in another PPL using bridgestan. Currently the major limitation of doing this is that we have no way to a…
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Clicking the :eye: icon in Xcode Debugger displays very useful previews for built-in types. For example it can show a preview of an image, color, cursor, bezier path and many more types.
Here's an …