Requirements

• MATLAB: R2019b or newer (uses tiledlayout/nexttile and exportgraphics). No additional toolboxes required.
• GNU Octave: 8.x (see Octave notes for setup and package requirements).

1. Pick a folder

Each is fully self-contained - no cross-folder dependencies. Pick one and cd into it.

2. Run a calculation

From matlab/ or octave/:

Run_MIDAS

This loads MIDAS_Params.m (the default configuration), runs the model, and shows every post-run figure - nothing is written to disk by default (save_data, make_movie, and every per-figure save_* flag at the top of Run_MIDAS.m start off false/0); flip whichever ones you want to keep to true/1.

From GUI/, instead:

MIDAS

This launches the interactive app - every field of MIDAS_Params.m is exposed as an editable control, grouped into tabs.

3. Try a different configuration

Open Run_MIDAS.m and change the line

params = MIDAS_Params();

to any of the six example configurations, e.g.

params = Example2_PolyEquilibrium();

See Examples for what each one demonstrates.

4. Write your own configuration

The cleanest way is to copy MIDAS_Params.m (or whichever example is closest to what you want) to a new file, give its function the same name as the file, and edit the numbers. Every field is documented inline with what it does and, where relevant, which mode it only applies under.

% params = MIDAS_Params();
% params.DamA = 1e-2;      % or override individual fields directly instead
R = MIDAS_Main(params);

5. Look at the results

MIDAS_Main returns a single struct R holding the full time history (if params.store_history = 1) and final-state profiles for every tracked quantity. Every plot_*.m function in the folder takes R and produces one figure - see API reference for the full list.

To export a figure as a publication-ready vector PDF + 300 dpi PNG (both a titled and an untitled version):

export_pub_fig(gcf, 'my_figure_name')