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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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Hi @fverdugo,
the following MWE reproduces an error we have found when using AutoDiff (ForwardDiff) to differentiate a function that calls Gridap's `interpolate_everywhere`.
As shown in the be…
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In one of the AC meetings (#85), the AMP outreach and marketing team gave a presentation on their overall plan. One thing they mentioned was the recommendation of using AMP as the default web developm…
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Currently, we have
```
const DiagNormal = MvNormal{Float64, PDiagMat{Float64,Vector{Float64}}, Vector{Float64}}
```
This is quite restrictive, it results in
```julia
julia> d = MvNormal(fi…
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[comment]: # (If desired, delete this line and add an image of the board here)
## Basic information
- Board URL (official): https://sipeed.com/licheepi3a ([Docs](https://en.wiki.sipeed.com/har…
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Tried to auto-diff OceanTurb.jl with Zygote.jl but it doesn't support mutating arrays (it know how to auto-diff broadcasts but mutating arrays makes it much harder to auto-diff)
```julia
using Zyg…
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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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**Panel description:**
LED P5 OUTDOOR RGB SMD2121 HUB75 64x32 1/8 Module
**Dimensions (in pixels):**
64x32
**Scan factor:**
1/8
**Chips on rear side:**
ICN2012, ICN2037BP, MW245B
![CHIPO…
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On trying to solve the system using an implicit solver from SciML such as `RadauIIA3`, we get the following error message.
```
Got exception outside of a @test
First call to automatic differe…
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In many method definitions arguments are typed as `Number`. For example, in `src/distrs/chisq.jl`
```julia
# pdf for numbers with generic types
function chisqpdf(k::Real, x::Number)
hk = k / 2 …