LINEAR2D

• Parameters
• Scenarios
• Variables

The main testing model is macrostat.models.LINEAR2D.LINEAR2D, a 2D linear system with dynamics

\[x_{t+1} = A x_t,\]

where \(x_t\) is a 2D state vector and \(A\) is a fully parameterised 2x2 matrix. This model has an analytical Jacobian, so it is used in the tests/diff/diff_test.py unit tests and in the offline/macrostat_testing/calib_example.py script to validate the implementation of macrostat.diff.