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example:
```julia
import ForwardDiff: Dual
v = ForwardDiff.Dual{6,Float64}[Dual(-0.0927781,-0.0679932,0.0650883,-0.0217832,0.00395549,0.0415781,0.128862),Dual(0.370172,0.0333549,0.0891681,0.04392…
tpapp updated
7 years ago
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In the future it could be useful to maintain compatibility with hyperduals. But not something urgent when we are still prototyping this package.
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Hi, I am opening this issue to discuss my preliminary findings regarding the med22 benchmark case (164 x 288 grid points, 23 vertical levels). I have run a preliminary benchmark on the Dutch national …
goord updated
2 years ago
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### Environment
**Operating System: Ubuntu 20.04.5 via nix-env
**Version / Commit SHA: 9.1 found in nux-env unstable channel
**Other: GCC 11.2, cmake 3.21
### Describe the bug
I'm collaborati…
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reproducing script is below
``` julia
(@v1.8) pkg> activate --temp
Activating new project at `/var/folders/29/j2y0t06d1918t1tymbv45wgr0000gn/T/jl_T8WfIS`
(jl_T8WfIS) pkg> add ForwardDiff, FF…
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```
What steps will reproduce the problem?
(The actual process to dual boot is straightforward, but would take a while
to type out completely. It involves making the drive GPT through Windows,
then in…
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It seems like this should work. All that is needed is:
```jl
Base.big(x::Dual{T}) where {T} = Dual{T}(big(x.value), big(x.partials))
Base.big(p::Partials) = Partials(big.(p.values))
```
(Mention…
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RRFS and Ting has tested the dual-resolution DA capability in JEDI for MPAS and FV3.
Corresponding discussions include:
https://github.com/NOAA-EMC/RDASApp/issues/112
https://github.com/JCSDA-inter…
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Hi there,
Really nice package!
I was wondering if one can adjust the flatten/unflatten functions, such that unflatten is also working inside a closure for using Automatic Differentation.
A…
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Consider this function:
```julia
sq(x) = x==1 ? one(x) : x^2
@test FiniteDifferences.central_fdm(5, 1)(sq, 1) ≈ 2.0
@test_broken ForwardDiff.derivative(sq, 1.0) == 2.0
```
Here `ForwardDiff` g…