SimPEG.data_misfit.L2DataMisfit.deriv#
- L2DataMisfit.deriv(m, f=None)[source]#
Gradient of the data misfit function evaluated for the model provided.
Where \(\phi_d (\mathbf{m})\) is the data misfit function, this method evaluates and returns the derivative with respect to the model parameters; i.e. the gradient:
\[\frac{\partial \phi_d}{\partial \mathbf{m}}\]- Parameters:
- m(
n_param, )numpy.ndarray The model for which the gradient is evaluated.
- m(
- Returns:
- (
n_param, )numpy.ndarray The gradient of the data misfit function evaluated for the model provided.
- (