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**Describe the bug 🐞**
I am working on solving a system of nonlinear equations using Newton's method and forward difference. I'm having a rank deficient problem where the solver still ends up outpu…
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## Summary
Question on differentiating the geometries with forward mode in python with mitsuba.set_variant('gpu_autodiff_rgb') .
## System configuration
- Platform: Ubuntu 19.10
- Compiler:…
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The following minimal example produces a stack overflow:
```
// C++ includes
#include
// autodiff include
#include
#include
using namespace autodiff;
// The scalar function for which th…
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I wanted to make sure that it's thread-safe, e.g. OpenMP?
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## Feature request
It would be great if Numba supported automatic differentiation. Maybe using [Enzyme](https://github.com/EnzymeAD/Enzyme) would be the easiest way as it operates directly on th…
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I'm loving the provenance in the new documentation. One thing I think that would be helpful is to know which functions have derivatives and which rely on autodiff. It helps to understand from a perfor…
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I tried running the last example in the README with an HMC sampler substituted for the MALA one:
```
using Klara
plogtarget(z) = -dot(z, z)
p = BasicContMuvParameter(:p, logtarget=plogtarget…
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https://juliadiff.org/ForwardDiff.jl/v0.7/user/api.html#Jacobians-of-f(x::AbstractArray)::AbstractArray-1
An API like:
`ForwardDiff.jacobian(f!, y::AbstractArray, x::AbstractArray, cfg::JacobianCo…
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## Summary
Hi, thank you for your great job.
Just like #74 , I am trying to use mitsuba2 renderer as a giant node to work with pytorch but with some translucent objects in the scene. However, I go…
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**Issue by [syclik](https://github.com/syclik)**
_Monday Nov 28, 2016 at 20:57 GMT_
_Originally opened as https://github.com/stan-dev/stan/issues/2142_
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#### Summary:
Add testing for higher or…