Comments (1)
This is now fixed with PRs #111 and #112 .
from autodiff.
Related Issues (20)
- Overview and comparison to <cmath>
- Is it possible to use floating point numbers in autodiff?
- Not compiling when function input is Eigen::VectorXd HOT 6
- Pybind11 + Autodiff::VectorXvar gives compiltion error
- A mistake in the definition of NumTraits<autodiff::Dual>. HOT 1
- Build fails on real.py.cxx.o HOT 3
- osx-arm64 / linux-aarch64 build missing on conda-forge HOT 9
- [Feature request] Code generation HOT 2
- Combined gradients HOT 2
- cmake compile error: numbertraits.hpp:70:16 HOT 1
- Directional Cross Derivatives HOT 1
- Is non-const argument in `gradient` necessary? HOT 1
- Dual will not work correctly for complex numbers HOT 3
- How to get the fastest performance of the autodiff. HOT 2
- Having trouble adding autodiff and Eigen to a project HOT 1
- Gitter link on website HOT 2
- Unable to build Python bindings with current master HOT 7
- An unexpected result when getting derivative of simple square function HOT 6
- [feature] GPU support HOT 2
- Adding const quietly invalidates results
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from autodiff.