- py__obs_op_adj_pdaf()¶
Apply adjoint observation operator
This function computes \(\mathbf{H}^\mathrm{T} \mathbf{w}\), where \(\mathbf{H}\) is the observation operator and \(\mathbf{w}\) is a vector in observation space.
Parameters¶
- stepint
Current step
- dim_pint
Dimension of state vector
- dim_obs_p: int
Dimension of observation vector
- m_state_p: np.ndarray[np.float, dim=1]
\(\mathbf{w}\). shape: (dim_obs_p,)
- state_p: np.ndarray[np.float, dim=1]
\(\mathbf{H}^\mathrm{T} \mathbf{w}\). shape: (dim_p,)
Returns¶
- state_p: np.ndarray[np.float, dim=1]
\(\mathbf{H}^\mathrm{T} \mathbf{w}\). shape: (dim_p,)