simpeg.meta.MultiprocessingSumMetaSimulation.residual#
- MultiprocessingSumMetaSimulation.residual(m, dobs, f=None)[source]#
The data residual.
This method computes and returns the data residual for the model provided. Where \(\mathbf{d}_\text{obs}\) are the observed data values, and \(\mathbf{d}_\text{pred}\) are the predicted data values for model parameters \(\mathbf{m}\), the data residual is given by:
\[\mathbf{r}(\mathbf{m}) = \mathbf{d}_\text{pred} - \mathbf{d}_\text{obs}\]- Parameters:
- m(
n_param, )numpy.ndarray The model parameters.
- dobs(
n_data, )numpy.ndarray The observed data values.
- f
simpeg.fields.Fields,optional If provided, fields will not need to be recomputed when solving the forward problem.
- m(
- Returns:
- (
n_data, )numpy.ndarray The data residual.
- (