Nicola

Missing support for erf (and related I guess)

3

MWE: ```julia using Enzyme, SpecialFunctions; first(autodiff(Reverse, erf, Active(0.2))); ```

Any way to generate random numbers inside an @avx loop?

1

I am trying to parallellize a loop containing a random number generation, but the status of the rng is kept costant across each index of the loop, leading to a...

Support for Implicitly defined functions

2

First thank you very much for the amazing package. Second, let me explain the issue: assume I have a function g returning x such that f(x,p)=0. I would be interested...

Hi all, i am getting the following error when i try to add a legend to an existing plot; the code is the following: `using PyPlot;` `x=collect(linspace(0,1,100));` `y=collect(linspace(0,2,20));` `f(x,y)=sin.(x).*cos.(y);` `g(x,y)=sin.(x).*sin.(y);`...

https://github.com/JuliaDiff/DualNumbers.jl/blob/4603cc1e07dc6363d394875046bca74cd7ce6fc6/src/dual.jl#L178

```julia using DualNumbers; x=[DualComplex256(1,1) for i in 1:10] fft(x) ``` I get the following error: ``` ERROR: MethodError: no method matching plan_fft(::Array{DualNumbers.Dual{Complex {Float64}},1}, ::UnitRange{Int64}) Closest candidates are: plan_fft(::Union{Base.ReshapedArray{T

Support for Dual/HyperDual/Complex in blsimpv

3

rewrite blsimpv in order to support Dual/HyperDual/Complex (possibly using Requires.jl)

Instead of using our own Brent method is better to add a dependency

Missing support for muladd in case of brodcasting with a complex argument

1

Hi all, I noticed the following when I combine complex numbers muladd and forward mode (I think it is forward mode because I am broadcasting some function over a vector)....