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Releases: JuliaDiff/ForwardDiff.jl

v0.10.8

17 Dec 13:19
v0.10.8
4ec6ce1

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v0.10.8 (2019-12-17)

Diff since v0.10.7

Merged pull requests:

v0.10.7

27 Nov 20:18
v0.10.7

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v0.10.7 (2019-11-27)

Diff since v0.10.6

Closed issues:

  • Jacobian of out-of-place function (#422)

Merged pull requests:

v0.10.6

07 Nov 10:49
v0.10.6

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v0.10.6 (2019-11-07)

Diff since v0.10.5

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v0.10.5

03 Nov 11:19
v0.10.5
f3bd3ca

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v0.10.5 (2019-11-03)

Diff since v0.10.4

Closed issues:

  • Parallel Auto Differentiation; key ForwardDiff [...] not found (#417)

Merged pull requests:

v0.10.4

29 Oct 09:57
v0.10.4
c6830f9

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v0.10.4 (2019-10-28)

Diff since v0.10.3

Closed issues:

  • Hessian is wrong with intervals (#411)
  • det not handled correctly? (#407)
  • Supporting the matrix exponential operator (#404)
  • Bug in particular case of determinant function (#403)
  • Why jacobian! allocates despite using pre-allocated memory ? (#402)
  • No-overhead one-pass calculation of value and derivative(s) (#401)
  • Extra allocations when function has method that allows ForwardDiff argument (#398)
  • Jacobian of function that solves an ODE internally (#397)
  • Higher dimensionnal Hessians (#382)

Merged pull requests:

v0.10.3

20 Feb 21:51

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reduce occurences of tag errors (#389)

v0.10.2: Add the other rng functions (#378)

20 Jan 16:37

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* Add the other rng functions

* Remove non-type random dispatches

* Add back rand(d) functions for things like rand(Integer)

* Remove redundant rng method

* add Random tests

* fix tests for rand interpretation

v0.10.1

30 Oct 20:16

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rip -O3 (#372)

v0.10.0: Remove V <: Real type restriction (#369)

22 Oct 18:08

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Instead, use an extensible function that the constructor uses to
check whether a type is valid to be used as `Dual`'s scalar type.

Fixes #216

v0.9.0: Revert "Use broadcast expressions instead of some loops." (#354)

31 Aug 16:37
6ebe333

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This reverts commit 19003af62af38a110fa6ec12d3b52cd3451e4a03.

See https://github.com/JuliaDiff/ForwardDiff.jl/pull/353#issuecomment-417688351