autodiff
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automatic differentiation made easier for C++
Hello AllanLeal, i stumbled upon your library and would like it to support me during learning how to implement scientific code in C++. I really like it for its clarity...
Are there any plans to upload this to conan?
Hello, I ran into a compilation issue that was triggered deep into Eigen ([here](https://gitlab.com/libeigen/eigen/-/blob/master/Eigen/src/Core/products/TriangularSolverMatrix.h#L124)) from e.g. this sequence: ``` Eigen::Matrix x1; Eigen::Matrix x2; x1 = x2.inverse(); ``` Note that it...
Hi Allan: Thank you for your assistance to resolve the issues that I am experiencing using autodiff with Eigen. This issue is an extension of issue #137; I am responding...
I wanted to make sure that it's thread-safe, e.g. OpenMP?
A typical optimization process is evaluating usually the same derivatives at different points. Right now, the derivative is calculated from scratch each time (40sec in my case, where it should...
Hello, I saw that there is a documented `hessian` driver for the reverse mode. And as I checked through the forward eigen header I found the counterpart. However, I cannot...
Something like: ``` VectorXcd b; b
Hello I am currently using autodiff for a planning problem where gradient calculation is very time critical and it appears that my application spends most of the time during the...
As discussed in https://github.com/actions/starter-workflows/issues/44, there is now a solution to manage conda environments in GitHub Actions. `autodiff` current implements a "hard-coded" fashion for conda environments in `autodiff`'s GH Actions. Please...