jacobian()#
- _NonparametricModel.jacobian(state, input_=None)[source]#
Construct and sum the state Jacobian of each model operator.
This the derivative of the right-hand side of the model with respect to the state, i.e., the function \(\ddqhat\Ophat(\qhat, \u)\) where the model can be written as one of the following:
\(\ddt\qhat(t) = \Ophat(\qhat(t), \u(t))\) (continuous time)
\(\qhat_{j+1} = \Ophat(\qhat_{j}, \u_{j})\) (discrete time)
\(\widehat{\mathbf{g}} = \Ophat(\qhat, \u)\) (steady state)
- Parameters
- state(r,) ndarray
State vector \(\qhat\).
- input_(m,) ndarray or None
Input vector \(\u\).
- Returns
- jac(r, r) ndarray
State Jacobian of the right-hand side of the model.