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Very nice! I wonder how this method compares with `quaddeo` of
https://github.com/machakann/DoubleExponentialFormulas.jl
Any chance to make the comparison?
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## 🚀 Feature
It would be great to have a library of optimization routines for the deterministic setting (a la `scipy.optimize`) using PyTorch autograd mechanics. I have written a [prototype library](…
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This is a duplicate from [here](https://discourse.julialang.org/t/does-nonlinearsolve-use-the-analytical-jacobian/116508), but I thought it might be better to ask here in GitHub.
This question came…
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If you don't want questions in your issues, please just delete.
We have complicated constraints that can not (or at least it is not obvious how to) be enforced via a proximal operator. However, wit…
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Awesome work!! Would love to use these packages for model-based control, is there functionality for [derivatives](http://www.mujoco.org/book/programming.html#saDerivative) implemented anywhere in the …
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Analytical model with all physical parameters = 1
![image](https://user-images.githubusercontent.com/55796835/110562821-81ca1680-814a-11eb-9d6f-eb8cf634a649.png)
State data X was generated by a nu…
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I'm a newbie using the autodiff library and more general using automatic differentiation in general. I was trying to implement gradient computation for a simple Gauss-Seidel type solver. It runs fine …
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Forgive me for etiquette and formatting issues, this is my first *real* github issue post. Further, if this wasn't the appropriate place to post problems like this, please let me know.
## What I'm…
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### Description
A useful feature for handling coordinate transformations is the Jacobian matrix. Primarily, it allows for a local determination of how the transformation modifies ar…
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Create a test to see how Drake handles vector differentiation.
For example, consider a pendulum B of length L that has a simple rotation in world W.
The position vector from Wo (world origin) to Bp …