Partitioned heat conduction with Schwarz-type domain decomposition

[BenjaminRodenberg]

Adds a tutorial illustrating how Schwarz-type domain decomposition could be implemented with preCICE.

General question similar to #30: How can we publish these kind of academic and advanced tutorials in a proper way?

[uekerman]

Could we add a picture showing the overlapping domain? I think this could be very helpful to quickly grasp the difference of this tutorial to others.

How can we publish these kind of academic and advanced tutorials in a proper way?

This discussion will be part of the preECO project. Let's not preempt a decision here. For the moment, what you did looks good.

I did not run the case.

[uekerman]

Name and README look good enough for me. I did not run the case.

[MakisH]

I have not tried to run this tutorial, but it anyway needs porting to preCICE v3.

I would also prefer that it already applies the tutorial structure that we have essentially discussed and converged on, which is documented in https://precice.org/community-contribute-to-precice.html

Other than that, it looks clean and clear. I particularly like that you added the TikZ sources for the figure.

[MakisH]

The new structure is nice! 👍
I ran the code, no VTK files are produced (as expected, I supposed).
I then executed the solver-fenics/errorcomputation.py and got no output, which confused me but means that the assertion worked.

[MakisH]

Suggested change

	Like for the case `partitioned-heat-conduction` (using Dirichlet-Neumann coupling), we can also expect for the overlapping domain decomposition applied here to recover the analytical solution. `errorcomputation.py` checks this explicitly, by comparing the numerical to the analytical solution and raising an error, if the approximation error is not within a given tolerance.
	Like for the case `partitioned-heat-conduction` (using Dirichlet-Neumann coupling), we can also expect for the overlapping domain decomposition applied here to recover the analytical solution. The script `solver-fenics/errorcomputation.py` checks this explicitly, by comparing the numerical to the analytical solution and raising an error, if the approximation error is not within a given tolerance.

[BenjaminRodenberg]

I ran the code, no VTK files are produced (as expected, I supposed).

I don't completely understand this. I get VTK output...?

[MakisH]

I ran the code, no VTK files are produced (as expected, I supposed).

I don't completely understand this. I get VTK output...?

I guess I overlooked the output/ folder, used to having the Nutils output in the same directory. But this is not our Nutils tutorials.