simpeg.regularization.LinearCorrespondence.relation#

LinearCorrespondence.relation(model)[source]#

Computes the relation vector for the model provided.

For a model consisting of two physical properties such that:

$$\begin{array}{r}\mathbf{m}=\left[\begin{array}{c}{\mathbf{m}}_{\mathbf{1}}\\ {\mathbf{m}}_{\mathbf{2}}\end{array}\right]\end{array}$$

this method computer the relation vector for coefficients $\{{\lambda }_1,{\lambda }_2,{\lambda }_3\}$ as follows:

$$\mathbf{f}(\mathbf{m})={\lambda }_1{\mathbf{m}}_{\mathbf{1}}+{\lambda }_2{\mathbf{m}}_{\mathbf{2}}+{\lambda }_3$$

Parameters:

model(n_param, ) numpy.ndarray

The model for which the relation vector is evaluated.

Returns:

float

The relation vector for the model provided.