Inverse methods aim to determine the parameters of a physical model from a finite and often noisy set of observations. In many scientific and engineering applications—particularly in geophysics—the relationship between the observed data and the model parameters can be approximated by a linear system of equations. The inverse problem then consists of estimating the model that best explains the data while accounting for measurement errors and prior information