Releases: JuliaDiff/FiniteDiff.jl
Releases · JuliaDiff/FiniteDiff.jl
v0.10.0
v0.10.0 (2019-05-26)
Merged pull requests:
- Introduce absstep to specify the stepsize to use close to zero (#55) (andreasnoack)
v0.9.0
v0.9.0 (2019-05-24)
Merged pull requests:
- Add project file and delete REQUIRE file (#53) (andreasnoack)
- Allow passing epsilon_factor in gradient functions (#52) (andreasnoack)
- Update .travis.yml and appveyor.yml and update links in README.md (#51) (andreasnoack)
- Add CITATION.bib (#50) (asinghvi17)
Fix allocations in :forward
Merge pull request #48 from JuliaDiffEq/myb/fix Add missing broadcast
pre-calculated fx
Merge pull request #44 from dextorious/master Add the ability to pass pre-evaluated f(x) values in the forward diff…
Fix out-of-place ParamJacobianWrapper
Merge pull request #40 from JuliaDiffEq/myb/fix Fix out-of-place ParamJacobianWrapper
Fix differencing with oop functions
v0.7.0 Update jacobians.jl
Fix depwarns
Merge pull request #36 from JuliaDiffEq/myb/depwarn Fix all depwarns for Julia 0.7
v0.7 compatibility release
v0.5.0 Update appveyor.yml
Fix gradient return type
v0.4.1 Update gradients.jl
cache gradients and multi-point derivatives
v0.4.0 updated and documented