Tags: JuliaDiff/FiniteDiff.jl
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[Diff since v2.26.2](v2.26.2...v2.27.0) **Merged pull requests:** - add `finite_difference_jvp` (#191) (@oscardssmith)
[Diff since v2.26.1](v2.26.1...v2.26.2) **Merged pull requests:** - fix `Cuda` gradients (#196) (@oscardssmith) - Bump codecov/codecov-action from 4 to 5 (#197) (@dependabot[bot]) **Closed issues:** - Question about how to use on gpu (#195)
[Diff since v2.25.0](v2.25.0...v2.26.0) **Merged pull requests:** - Remove `@inbounds` for structured matrices (#193) (@gdalle) - Generalize fast colored iteration on banded matrix to array output (#194) (@ChrisRackauckas)
## FiniteDiff v2.24.0 [Diff since v2.23.1](v2.23.1...v2.24.0) **Merged pull requests:** - Bump codecov/codecov-action from 3 to 4 (#180) (@dependabot[bot]) - CompatHelper: add new compat entry for BandedMatrices in [weakdeps] at version 1, (keep existing compat) (#187) (@github-actions[bot]) - CompatHelper: add new compat entry for BlockBandedMatrices in [weakdeps] at version 0.13, (keep existing compat) (#188) (@github-actions[bot]) - Remove Requires.jl (#189) (@ChrisRackauckas)
## FiniteDiff v2.23.1 [Diff since v2.23.0](v2.23.0...v2.23.1) **Merged pull requests:** - Bump julia-actions/setup-julia from 1 to 2 (#183) (@dependabot[bot]) - Refresh Hessian caches on run (#186) (@ChrisRackauckas) **Closed issues:** - GradientCache typo? (#30) - Suggestion for non-allocating Jacobian (#120) - Output depends on values in cache (#127) - FiniteDiff Standard Tests 13 Broken of 202 Tests. (#184) - Cannot reuse `HessianCache` for another value of `x` (#185)
## FiniteDiff v2.23.0 [Diff since v2.22.0](v2.22.0...v2.23.0) **Merged pull requests:** - Bump actions/cache from 3 to 4 (#179) (@dependabot[bot]) - Add docstrings and update documentation (#182) (@gdalle) **Closed issues:** - Make a real documentation (#144) - What does "multi point derivatives" mean? (#181)
## FiniteDiff v2.22.0 [Diff since v2.21.1](v2.21.1...v2.22.0) **Merged pull requests:** - Bump actions/checkout from 3 to 4 (#177) (@dependabot[bot]) - Fix generic-ness and improve inference (#178) (@ChrisRackauckas) **Closed issues:** - What am I doing wrong withe this gradient computation? (#176)
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