simpeg.electromagnetics.natural_source.Simulation1DElectricField.getJtJdiag#
- Simulation1DElectricField.getJtJdiag(m, W=None, f=None)[source]#
Return the diagonal of \(\mathbf{J^T J}\).
Where \(\mathbf{d}\) are the data and \(\mathbf{m}\) are the model parameters, the sensitivity matrix \(\mathbf{J}\) is defined as:
\[\mathbf{J} = \dfrac{\partial \mathbf{d}}{\partial \mathbf{m}}\]This method returns the diagonals of \(\mathbf{J^T J}\). When the W input argument is used to include a diagonal weighting matrix \(\mathbf{W}\), this method returns the diagonal of \(\mathbf{W^T J^T J W}\).
- Parameters:
- m(n_param,)
numpy.ndarray The model parameters.
- W(
n_param,n_param)scipy.sparse.csr_matrix A diagonal weighting matrix.
- f
frequency_domain.fields.FieldsFDEM,optional Fields solved for all sources.
- m(n_param,)
- Returns:
- (n_param,)
numpy.ndarray The diagonals.
- (n_param,)