This tutorial is the advanced version of the “partitioned heat conduction” tutorial, showcasing more advanced features and geometries.

## Setup

This case is an advanced version of `partitioned-heat-conduction`

. Some advanced features offered by this case:

- Geometries may be chosen arbitrarily. One possibility is to use a circle and a rectangular plate with a hole, but you can also provide your own geometry, if you want.
- You may combine arbitrary mesh resolutions at the coupling interface.
- Nearest projection mapping is used.
- The Dirichlet and Neumann participants may be swapped arbitrarily.
- The exchanged temperature is still scalar valued, but the heat flux is vector valued.
- You can decide to use a time dependent heat flux and right-hand side to make the problem more challenging.

## Available solvers and dependencies

See `partitioned-heat-conduction`

, only `fenics`

is provided as a solver.

## Running the simulation

See `partitioned-heat-conduction`

. The additional featured mentioned above can be activated via command line arguments. Please run `python3 solver-fenics/heat.py --help`

for a full list of provided arguments.