I am new to Fenicsx and I am testing examples to understand how Fenicsx works before using it for my projects.
I installed fenicsx following the Nguyen Lab Wiki - fenicsx – Nguyen Lab Wiki
On windows, using WSL and Ubuntu I created a conda env for fenicsx. However I cannot run complex number problems and I saw there were many discussion on it here. Unfortunately they did not help me. The Poisson problem with complex numbers — FEniCSx tutorial this is the example I am trying and it would be great if someone could help me get the complex numbers working. Since i did not go through docker I don’t know if there is another way to get it working.
The problem is I do not get this output <class 'numpy.complex128'>
instead i get float64.
This is the code:
from petsc4py import PETSc
from dolfinx.fem.petsc import assemble_vector
print(PETSc.ScalarType)
Hey @francesco-ballarin, thanks for the help. I did manage to get the complex-valued problems solved with the command you mentioned. However, I was wondering if there is a way to get the complex-problem solving capabilities into the fenicsx env itself rather than a new env, because there are some functionalities that I am missing when I create 2 separate envs.
For example, plotting solutions using pyvista.
As Francesco said, you can install the remaining dependencies in the new (complex valued) conda environment. If you want it in an env called fenicsx-env, then remove the existing env, create a new one and call: conda install -c conda-forge fenics-dolfinx mpich petsc=*=complex* pyvista matplotlib cycler so that you get the remaining deps. Alternatively, call: conda install -c conda-forge pyvista matplotlib cycler in the environment that has the complex version of DOLFINx.