Iterative Regularization Methods for Nonlinear Ill-Posed Problems
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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Produktdetails
Weitere Autoren: Scherzer, Otmar / Neubauer, Andreas
- ISBN: 978-3-11-020827-6
- EAN: 9783110208276
- Produktnummer: 12796450
- Verlag: De Gruyter
- Sprache: Englisch
- Erscheinungsjahr: 2008
- Seitenangabe: 202 S.
- Plattform: PDF
- Masse: 0 KB
Über den Autor
Barbara Kaltenbacher, University Stuttgart; Andreas Neubauer, Johannes-Kepler-University Linz, Austria; Otmar Scherzer, University Linz, Austria.
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