Elastic tube 1D: Update solver sections, removing the now automatic b…

…uild steps, and adding rust (precice#531)

elastic-tube-1d/README.md

@@ -39,34 +39,14 @@ preCICE configuration (image generated using the [precice-config-visualizer](htt
 
 Both fluid and solid participant are supported in:
 
-- *C++*: An example solver using the intrinsic [C++ API of preCICE](https://www.precice.org/couple-your-code-api.html). This solver also depends on LAPACK (e.g. on Ubuntu `sudo apt-get install liblapack-dev`)
-- *Python*: An example solver using the preCICE [Python bindings](https://www.precice.org/installation-bindings-python.html). This solver also depends on the Python libraries `numpy scipy matplotlib vtk mpi4py`, which you can get from your system package manager or with `pip3 install --user <package>`.
-
-### Building the C++ Solver
-
-In order to use the C++ solver, you first need to build the scripts `FluidSolver` and `SolidSolver`. Each script needs to be built separately.
-
-```bash
-cd fluid-cpp
-mkdir build && cd build
-cmake ..
-make all
-```
-
-```bash
-cd solid-cpp
-mkdir build && cd build
-cmake .. 
-make all
-```
-
-Building can be skipped if you do not plan to use the C++ version.  
+- *C++*: example solvers using the intrinsic [C++ API of preCICE](https://www.precice.org/couple-your-code-api.html). The fluid solver also depends on LAPACK (e.g. on Ubuntu `sudo apt-get install liblapack-dev`)
+- *Python*: example solvers using the preCICE [Python bindings](https://www.precice.org/installation-bindings-python.html). Both solvers depend on `numpy`. The fluid solver additionally depends on the Python libraries `scipy matplotlib`. You can get these libraries from your system package manager or with `pip3 install --user <package>`.
+- *Rust*: example solvers using the preCICE [Rust bindings](https://www.precice.org/installation-bindings-rust.html). They need `cargo` to be installed.
 
 ## Running the Simulation
 
-### C++
-
-Open two separate terminals and start each participant by calling the respective run script.
+Choose one solver for each pariticipant, then open two separate terminals and start each soler by calling the respective run script.
+Here we use both C++ solvers:
 
 ```bash
 cd fluid-cpp
@@ -80,23 +60,7 @@ cd solid-cpp
 ./run.sh
 ```
 
-### Python
-
-Open two separate terminals and start each participant by calling the respective run script. Only serial run is possible:
-
-```bash
-cd fluid-python
-./run.sh
-```
-
-and
-
-```bash
-cd solid-python
-./run.sh
-```
-
-**Optional:** A run-time plot visualization can be triggered by passing `--enable-plot` in `run.sh` of `FluidSolver.py`. Additionally a video of the run-time plot visualization can be generated by additionally passing `--write-video`
+**Optional for python-fluid:** A run-time plot visualization can be triggered by passing `--enable-plot` in `run.sh` of `FluidSolver.py`. Additionally a video of the run-time plot visualization can be generated by additionally passing `--write-video`
 
 {% warning %}
 The C++ and Python solvers lead to different results. Please consider the Python results as the correct ones and refer to this [open issue](https://github.com/precice/tutorials/issues/195) for more insight. Contributions are particularly welcome here.