v1.3.3

ForwardDiff v1.3.3

Diff since v1.3.2

Merged pull requests:

• Bump julia-actions/cache from 2 to 3 (#796) (@dependabot[bot])
• Avoid reshape allocation in extract_jacobian! for Matrix results (#797) (@ChrisRackauckas-Claude)

v1.3.2

ForwardDiff v1.3.2

Diff since v1.3.1

Merged pull requests:

• Update documentation formatting and infrastructure (#792) (@abhro)
• Remove explicit != methods for Dual (#793) (@JamesWrigley)

v1.3.1

ForwardDiff v1.3.1

Diff since v1.3.0

Merged pull requests:

• Bump actions/checkout from 5 to 6 (#786) (@dependabot[bot])
• Define < and isless for Partials (#791) (@devmotion)

v1.3.0

ForwardDiff v1.3.0

Diff since v1.2.2

Merged pull requests:

• Add derivative rule for LinearAlgebra.givensAlgorithm (#783) (@devmotion)

Closed issues:

• Method ambiguities reported by Aqua (#681)

v1.2.2

ForwardDiff v1.2.2

Diff since v1.2.1

Merged pull requests:

• Backport #770 to ForwardDiff 0.10 (#773) (@devmotion)
• CI tests with NaN-safe mode (#776) (@devmotion)
• Fix NaN-safe mode (#777) (@devmotion)
• Avoid non-lazy string interpolation and replace @assert with ArgumentError (#779) (@devmotion)
• Bump version from 1.2.1 to 1.2.2 (#782) (@devmotion)

Closed issues:

• Allocation tests broken since Julia 1.9 (#689)
• NaN gradient occurring in SpecialFunctions.gamma, when using float arguments. (#705)
• Product of Inf terms leading to NaNs (#745)
• NaN-safe mode is not NaN-safe enough (#774)
• Zero code coverage for NaN-safe mode (#775)
• JET.@test_opt fails on Julia >= 1.12 due to AssertionErrors (#778)
• Type stability of gradient and jacobian (#781)

v0.10.39

ForwardDiff v0.10.39

Diff since v0.10.38

This release has been identified as a backport.
Automated changelogs for backports tend to be wildly incorrect.
Therefore, the list of issues and pull requests is hidden.

v1.2.1

ForwardDiff v1.2.1

Diff since v1.2.0

Merged pull requests:

• Fix gradient and Jacobian for functions with Dual output (#770) (@devmotion)

Closed issues:

• ForwardDiff.gradient and ForwardDiff.jacobian don't handle functions with ForwardDiff.Dual output correctly (#769)

v1.2.0

ForwardDiff v1.2.0

Diff since v1.1.0

Merged pull requests:

• improve performance of hessians with static arrays (#751) (@longemen3000)
• Fix tests by using tag types instead of instances (#768) (@devmotion)
• prevent adding methods to the functions > and >= (#771) (@nsajko)
• v1.2.0 (#772) (@nsajko)

Closed issues:

• Performance issue/allocations in DiffResults-hessian! with StaticArrays. (#720)

v1.1.0

ForwardDiff v1.1.0

Diff since v1.0.1

Merged pull requests:

• Update CI (#730) (@devmotion)
• Require Julia v1.10+ (#731) (@dlfivefifty)
• Fix seeding with undefined elements (#743) (@devmotion)
• Add SmallTag type for more compact Dual types (#748) (@topolarity)
• Add section in docs about limitation for functions composed of non-differentiable functions (#753) (@JoshuaLampert)
• Also test zero allocations on 1.10 (#754) (@andreasnoack)
• Fix formatting in docs (#755) (@JoshuaLampert)
• Update badges in README.md (#763) (@andreasnoack)
• Update ci.yml to test on windows and mac as well (#764) (@ViralBShah)
• Revert "Add SmallTag type for more compact Dual types" (#765) (@oscardssmith)
• Adjust version to 1.1.0 (#766) (@devmotion)

Closed issues:

• Incorrect computation of Hessian of squared euclidean norm (#303)
• Manually preventing perturbation confusion (#423)
• Jacobian of in-place functions in presence of undefined references (#436)
• Why is seeding ydual necessary? (#740)
• searchsortedfirst of dual returning wrong result (#742)

v1.0.1

ForwardDiff v1.0.1

Diff since v1.0.0

Merged pull requests:

• Update how_it_works.md (#672) (@vpuri3)
• Bump codecov/codecov-action from 4 to 5 (#723) (@dependabot[bot])
• Do not seed structural zeros (#739) (@devmotion)

Closed issues:

• Duals and ranges (#275)
• Compiletime for tensor very slow (#278)
• gradients of hessians with divisions (#285)
• printf formatting causes stack overflow (#289)
• FieldVectors (#305)
• Problem with abs (#377)
• Complex valued pow gives stackoverflow error (#486)
• Complex derivative of power fails (#514)
• Replace values of Duals with other numbers (#526)
• Thread Safety of ForwardDiff.GradientConfig (#573)
• use StaticArraysCore.jl (#591)
• Violating assumptions about Dual comparisons (#609)
• ERROR: MethodError: no method matching Float32(::ForwardDiff.Dual{ForwardDiff.Tag{var"#11#12", Float32}, Float32, 12}) (#611)
• Derivative is wrong for this inverse quadratic form (#633)
• Different results on Intel vs. AMD with ForwardDiff (#636)
• Type instability in jacobian! filling JacobianResult when using StaticArrays (#639)
• incorrect 2nd derivative of complex exponential (#653)
• Derivative of a function of derivatives (#673)
• ERROR: Package ForwardDiff errored during testing (#700)
• UpperTriangular / LowerTriangular broken on 1.0.0 (#738)