simpeg.electromagnetics.time_domain.simulation.BaseTDEMSimulation.Jtvec#

BaseTDEMSimulation.Jtvec(m, v, f=None)[source]#

Compute the adjoint sensitivity matrix times a vector.

Where $\mathbf{d}$ are the data, $\mathbf{m}$ are the model parameters, and the sensitivity matrix is defined as:

$$\mathbf{J}={\displaystyle \frac{\partial \mathbf{d}}{\partial \mathbf{m}}}$$

this method computes and returns the matrix-vector product:

$${\mathbf{J}}^{\mathbf{T}}\mathbf{v}$$

for a given vector $v$.

Parameters:

m(n_param,) numpy.ndarray

The model parameters.

v(n_data,) numpy.ndarray

The vector.

ftime_domain.fields.FieldsTDEM, optional

Fields solved for all sources.

Returns:

(n_param,) numpy.ndarray

The adjoint sensitivity matrix times a vector.