v1.1.0

ImplicitAD v1.1.0

Diff since v1.0.1

v1.0.1

ImplicitAD v1.0.1

Diff since v1.0.0

Merged pull requests:

• Improve type stability in implicit (#21) (@gdalle)

v1.0.0

ImplicitAD v1.0.0

Diff since v0.3.1

• no breaking changes. mainly just moving to 1.0.0 to make semver easier.
• add a pytorch example
• minor doc, CI, compat, updates

Merged pull requests:

• Remove the unused parametric types present after PR 13. (#14) (@juddmehr)
• Add user defined matrix multiplication function (#16) (@jmaack24)
• Update eigenvalues.jl (#17) (@BTV25)
• Allow ForwardDiff version 1 in [compat] (#19) (@fredrikekre)

Closed issues:

• Keep getting error with provide_rule (#18)

v0.3.1

ImplicitAD v0.3.1

Diff since v0.3.0

Merged pull requests:

• Qualify access to TrackedReal and TrackedArray in nonlinear.jl (#13) (@dingraha)

v0.3.0

ImplicitAD v0.3.0

Diff since v0.2.2

Closed issues:

• Differences with ImplicitDifferentiation.jl? (#4)
• Alternative method for providing partial derivatives? (#7)
• Partial derivative matrix cannot be safely re-used. (#9)

Merged pull requests:

• Avoid overwriting cached variables before the reverse pass (#10) (@taylormcd)
• add explicit_unsteady and implicit_unsteady (#11) (@taylormcd)
• Faster unsteady (#12) (@andrewning)

v0.2.2

ImplicitAD v0.2.2

Diff since v0.2.1

Merged pull requests:

• relax compatibility requirements (#6) (@taylormcd)

v0.2.1

ImplicitAD v0.2.1