@@ -291,10 +291,8 @@ The following class contains functionality for additional flux output to the con
#include "problem.hh"
```
</details>
</details>
```cpp
```
### Setup basic properties for our simulation
We setup the DuMux properties for our simulation (click [here](https://git.iws.uni-stuttgart.de/dumux-repositories/dumux-course/blob/master/slides/dumux-course-properties.pdf) for DuMux course slides on the property system) within the namespace Properties, which is a sub-namespace of Dumux.
We begin the main function by making the type tag `ChannelExample`, that we defined in `problem.hh` for this test problem available here.
Then we initializing the message passing interface (MPI), even if we do not plan to run the application in parallel. Finalizing of the MPI is done automatically on exit.
We continue by printing the dumux start message and parsing the command line arguments and runtimeparameters from the input file in the init function.
<details>
<summary>Toggle to expand code (beginning of main)</summary>
```cpp
intmain(intargc,char**argv)try
...
...
@@ -357,7 +353,6 @@ int main(int argc, char** argv) try
Parameters::init(argc,argv);
```
</details>
### Set-up and solving of the problem
...
...
@@ -374,8 +369,6 @@ and then use the solution vector to intialize the `gridVariables`. Grid variable
primary variables (velocities, pressures) as well as secondary variables (density, viscosity, ...).
We then initialize the vtkoutput. Each model has a predefined model-specific output with relevant parameters
for that model. Here, it is pressure, velocity, density and process rank (relevant in the case of parallelisation).
// We setup the DuMux properties for our simulation (click [here](https://git.iws.uni-stuttgart.de/dumux-repositories/dumux-course/blob/master/slides/dumux-course-properties.pdf) for DuMux course slides on the property system) within the namespace Properties, which is a sub-namespace of Dumux.
// We begin the main function by making the type tag `ChannelExample`, that we defined in `problem.hh` for this test problem available here.
// Then we initializing the message passing interface (MPI), even if we do not plan to run the application in parallel. Finalizing of the MPI is done automatically on exit.
// We continue by printing the dumux start message and parsing the command line arguments and runtimeparameters from the input file in the init function.
//<details>
// <summary>Toggle to expand code (beginning of main)</summary>
//
intmain(intargc,char**argv)try
{
...
...
@@ -149,7 +146,6 @@ int main(int argc, char** argv) try
DumuxMessage::print(/*firstCall=*/true);
Parameters::init(argc,argv);
// </details>
//
// ### Set-up and solving of the problem
//
...
...
@@ -166,8 +162,6 @@ int main(int argc, char** argv) try
// primary variables (velocities, pressures) as well as secondary variables (density, viscosity, ...).
// We then initialize the vtkoutput. Each model has a predefined model-specific output with relevant parameters
// for that model. Here, it is pressure, velocity, density and process rank (relevant in the case of parallelisation).