simpeg.regularization.SparseSmallness.deriv

SparseSmallness.deriv(m)

Gradient of the regularization function evaluated for the model provided.

Where \(\phi (\mathbf{m})\) is the discrete regularization function (objective function), this method evaluates and returns the derivative with respect to the model parameters; i.e. the gradient:

\[\frac{\partial \phi}{\partial \mathbf{m}}\]

Parameters:

m(n_param, ) numpy.ndarray

The model for which the gradient is evaluated.

Returns:

(n_param, ) numpy.ndarray

The Gradient of the regularization function evaluated for the model provided.