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.

About the Authors

Barbara Kaltenbacher, Universit�t Stuttgart; Andreas Neubauer, Johannes-Kepler-Universit�t Linz, �sterreich; Otmar Scherzer, Universit�t Linz, �sterreich.

Barbara Kaltenbacher, University Stuttgart; Andreas Neubauer, Johannes-Kepler-University Linz, Austria; Otmar Scherzer, University Linz, Austria.

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