SimPEG.regularization.JointTotalVariation.deriv#

JointTotalVariation.deriv(model)[source]#

Computes the derivative of the joint total variation.

Parameters
modelnumpy.ndarray

stacked array of individual models np.r_[model1, model2,…]

Returns
numpy.ndarray

The gradient of joint total variatio with respect to the model