simpeg.data_misfit.L2DataMisfit.residual#

L2DataMisfit.residual(m, f=None)[source]#

Computes the data residual vector for a given model.

Where ${\mathbf{d}}_{\text{obs}}$ is the observed data vector and ${\mathbf{d}}_{\text{pred}}$ is the predicted data vector for a model vector $\mathbf{m}$, this function computes the data residual:

$$\mathbf{r}={\mathbf{d}}_{\text{pred}}-{\mathbf{d}}_{\text{obs}}$$

Parameters:

m(n_param, ) numpy.ndarray

The model for which the function is evaluated.

fNone or simpeg.fields.Fields, optional

A SimPEG fields object. Used when the fields for the model m have already been computed.

Returns:

(n_data, ) numpy.ndarray

The data residual vector.