FastAD Versions Save

FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.

v3.1.0

3 years ago
  • Change to backward-evaluation mechanism to be vectorized
  • Change the interface to use bind_cache instead of bind to get rid of all the if constexpr: saves compile-time
  • Add explicit template instantiations to save compile-time

v3.0.0

3 years ago

Biggest change is the new support for vector and matrix-like shapes. Reverse-mode now supports vectorized operations and uses Eigen as a dependency to carry out all matrix computations. Removed jacobian and hessian for the time being since they don't work so well with the new API.

v1.0.2

4 years ago

Summary

  • Travis build on various linux and macos machines

v1.0.1

4 years ago

Release date: 2019-12-23.

Summary

  • Fixed is_glue_eq design and eliminated one specialization
  • CHANGELOG.md will now be updated from now

v1.0.0

4 years ago

Release date: 2019-12-23.

Summary

This is the first release of FastAD. See README for all features and usage examples.