Sequential model correction for nonlinear inverse problems

Arttu Arjas, Mikko J. Sillanpää, Andreas Hauptmann

Inverse problems are in many cases solved with optimization techniques. When the underlying model is linear, first-order gradient methods are usually sufficient. With nonlinear mod…