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Releases: JuliaDiff/FiniteDiff.jl

v0.10.0

27 May 14:39
v0.10.0
7616865
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v0.10.0 (2019-05-26)

Diff since v0.9.0

Merged pull requests:

  • Introduce absstep to specify the stepsize to use close to zero (#55) (andreasnoack)

v0.9.0

25 May 14:55
v0.9.0
285af2a
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v0.9.0 (2019-05-24)

Diff since v0.8.1

Merged pull requests:

Fix allocations in :forward

13 Mar 13:47
efb06cd
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Merge pull request #48 from JuliaDiffEq/myb/fix

Add missing broadcast

pre-calculated fx

08 Feb 17:05
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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

26 Oct 18:49
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Merge pull request #40 from JuliaDiffEq/myb/fix

Fix out-of-place ParamJacobianWrapper

Fix differencing with oop functions

19 Oct 13:32
feae8a3
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v0.7.0

Update jacobians.jl

Fix depwarns

30 Jun 10:04
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Merge pull request #36 from JuliaDiffEq/myb/depwarn

Fix all depwarns for Julia 0.7

v0.7 compatibility release

29 Jun 13:43
e500138
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v0.5.0

Update appveyor.yml

Fix gradient return type

13 Apr 05:55
cd80e68
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v0.4.1

Update gradients.jl

cache gradients and multi-point derivatives

15 Feb 20:12
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v0.4.0

updated and documented