Nonlinear inverse problems appear in many applications, and
typically they lead to mathematical models that are ill-posed,
i.e., they are unstable under data perturbations. Those problems
require a regularization, i.e., a special numerical treatment. This
book presents regularization schemes which are based on iteration
methods, e.g., nonlinear Landweber iteration, level set methods,
multilevel methods and Newton type methods.
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