Martin Burger coauthored an exposition of regularization of an inverse problem with Martin Benning. Their treatment of inverse problems connects nonlinear penalties, prior information and stability of reconstruction. The framework distinguishes exact inversion from a controlled approximation that remains meaningful when measurements contain noise or the inverse map is discontinuous.[ref]
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