do you have a solver for solving system of odes in this paper?

[ehtisham409]

I. E. Lagaris, A. Likas, and D. I. Fotiadis, Articial neural networks for solving ordinary and
partial di�erential equations, IEEE Transactions on Neural Networks, 9 (1998), pp. 987{
1000.

[lululxvi]

Yes. There are examples of ODE system, see ode_system.py for forward problem, and Lorenz_inverse.py for inverse problem.

[ehtisham409]

hello sir do you have documention for deepxde. this will be helpful for better understanding of code for fresh students in deeplearning. Your Truely Ehtisham Karim

…

On Thu, Jan 23, 2020, 9:34 AM Lu Lu ***@***.***> wrote: Yes. There are examples of ODE system, see ode_system.py for forward problem, and Lorenz_inverse.py for inverse problem. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <https://github.com/lululxvi/deepxde/issues/13?email_source=notifications&email_token=AM5HHTVOIT7VYCHHKWFYTHLQ7DXZNA5CNFSM4KJUWG5KYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEJVWXLY#issuecomment-577465263>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AM5HHTXDS5ONMFXIKB5HNETQ7DXZNANCNFSM4KJUWG5A> .

[lululxvi]

Hi Ehtisham,

Currently I don't have very detailed documentation yet. But the papers/slides listed in the README and the API information https://deepxde.readthedocs.io/en/latest/modules/modules.html should be useful.