An overdetermined linear inverse problem is expressed as \( Gm = d \), where \( G \) is the data kernel, \( m \) is the vector of model parameters and \( d \) is the vector of observed data. If damping is applied to the inverse problem and the resultant generalized inverse is represented by \( G^{-g} \), the \textbf{model resolution matrix can be expressed as:}