RC Aster, B Borchers, & CH Thurber, "Parameter Estimation and Inverse Problems," Elsevier Academic Press, 2004.Professor Ken Creager's ESS-523 inverse theory class, Univ of Washington, 2005.Hansen 1987), and the L-curve is one of InvGN's outputs. The damping level (regularization parameter lambda) is solved for by the L-curve method (see e.g. Where epsilon is some model norm threshold. Where delta is some statistically-determined noise threshold, and also to: The damped nonlinear least squares problem is:įor appropriate choices of regularization parameter lambda, this problem is equivalent to: (Browse the contents and download the package file for InvGN at my GitHub account!)
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