Iterative Regularization Methods for Nonlinear Ill-Posed Problems

Radon Series on Computational and Applied Mathematics 6

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Bibliografische Daten
ISBN/EAN: 9783110204209
Sprache: Englisch
Umfang: VIII, 194 S.
Format (T/L/B): 1.6 x 24.7 x 17.8 cm
Auflage: 1. Auflage 2008
Einband: gebundenes Buch

Beschreibung

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.

Autorenportrait

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

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