An important issue for applying regularization is the choice of the regularization parameter α. The overview of various regularization criteria can be found somewhere else. Since we have an estimate of the experimental data uncertainties, the most recommended method for the regularization criterion choice is the generalized discrepancy principle, , which was already found applicability in GED for structural analysis. A less accurate but simpler and more common criterion is the L-curve method. It relies on calculating so-called Lcurve: the values of the pure wsLSSA functional Φ (Eq. 12)