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Please consider looking into adding platform support for the new RP2350 MCU and the Raspberry Pi Pico 2 development board.
RP2350 is the successor and next-generation of RPi RP2040 so guess would n…
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I ran into the following problem today:
```julia
function tensor_exp(A::SymmetricTensor{2})
E = eigen(A)
A_exp = zero(A)
for (i, λ) in enumerate(E.values)
N = E.vectors[:,i]
…
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The following method always seems to return 0 + 0ɛ for positive duals.
`angle{T
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Currently, `one` returns a `Dual` number. It seems like it could simply return the underlying value type instead. i.e. change [these lines](https://github.com/JuliaDiff/ForwardDiff.jl/blob/4b143a199…
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@filipecalegario Do I only have to change these lines of the code to match my blocks in the hub-arduino_pro_mini?
```
Block dual_buttons_1(BLOCK_DUAL_BUTTONS_1, SIZE_BLOCK_DUAL_BUTTONS_1, 0, 10, "du…
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MWE :
```julia
using ModelingToolkit
using DifferentialEquations
using Turing
using ForwardDiff
using ForwardDiff: Dual
@variables begin
t
y1(t) = 1.0
y2(t) = 0.0
y3(t) = …
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We're looking into using the Eigen library to obtain eigen decompositions of matrices of dual numbers. This is of course because LAPACK precludes us from using dual numbers entirely while Eigen is bea…
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I was trying to use this with ForwardDiff, but not an array of structs like #19, just using dual numbers within a loop and then extracting ordinary numbers. Something like this:
```julia
dA = Forwar…
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## Reason
Following a brilliant idea from @hugary1995 , we should look into performing return mapping for AD models _without_ dual numbers to obtain a converged solution, and then just do a single it…
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This is strangely specific, but look, a factor ~200 slowdown when enabling multithreading:
```julia
julia> using BenchmarkTools, FastBroadcast, ForwardDiff
julia> N = 100; x = ForwardDiff.Dual.…