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Hi,
I couldn't figure out from the docs how to use derivative-based methods for complex problems. Some things are mentioned in the news blog, others I still don't know.
It would be nice if the foll…
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```julia
using StaticArrays, OrdinaryDiffEq
@inline @inbounds function loop(u, p, t)
σ = p[1]; ρ = p[2]; β = p[3]
du1 = σ*(u[2]-u[1])
du2 = u[1]*(ρ-u[3]) - u[2]
du3 = u[1]*u[2]…
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For control purposes, the decoupled nature of the centroidal dynamics may be of fundamental importance in practice. So, it would be great to have all elements for running the actual control architectu…
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```julia
julia> using AbstractDifferentiation, Zygote
julia> function ft1(x)
y1 = (x[1]*x[2])^x[3]
y2 = (x[2]*x[3])^x[1]
y3 = (x[3]*x[1])^x[2]
[y1, y2, y3]
…
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It would be nice for demo-purposes if the printed expressions could be simplified a bit here:
``` python
A = MX.sym("A",3,3)
B = MX.sym("B",3)
print mul(A,B)
print jacobian(mul(A,B),B)
```
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### Question
Hi, I'm setting up a robot bin picking simulation with top-down camera that captures semantic or instance segmentation after each grasp attempt. My simulation always get `CUDA error: a…
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## *Repository Creation Request*
Use this to get your experiment repository created or updated on GitHub under Virtual Labs organization.
1. #### Coordinating Institute: IIT Bombay
2. #### Appr…
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ModelingToolkit.jl has the capability to take some julia derivative functions, extract the symbolic equations and symbolically generate an optimized and potentially multi-threaded version of the funct…
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For the direct usage of `Fun`, stiff methods can't be used because the Jacobians cannot be calculated.
```julia
@time sol=solve(prob,Rosenbrock23(),dt=1/40, adaptive=false, tstops=tstops)
Met…