simpeg.regularization.WeightedLeastSquares.deriv#

WeightedLeastSquares.deriv(m, f=None)[source]#

Gradient of the objective function evaluated for the model provided.

Where ϕ(m) is the objective function, this method evaluates and returns the derivative with respect to the model parameters; i.e. the gradient:

ϕm
Parameters:
m(n_param, ) numpy.ndarray

The model for which the gradient is evaluated.

Returns:
(n_param, ) numpy.ndarray

The gradient of the objective function evaluated for the model provided.