differential-equations

The basics of DiscreteSystem exists now, but the little details around it need to be finished.

https://arxiv.org/abs/2012.06684

@samuela is there code to share that could become a tutorial? I think it would be good to make one.

add in docs and in testset a Low-level API example with GPU

The package currently exports these function names:
mm , mmr , hill , hillr , hillar.

To avoid these potentially overwriting other stuff people have decalred, they could be moved to some other sub package. They would then be imported using e.g.

using Catalyst.Functions

Hi,

I am pretty new to neurodiffeq, thank you very much for the excellent library.

I am interested in the way, and the computational speed, of computing partial derivatives w.r.t. the inputs.

Take forward ODE (1D, 1 unknown variable) solver for example, the input is x, a batch of coordinates, and the output of the neural network is y, the approximated solution of the PDE at these coo