Iterative Regularization Methods for Nonlinear Ill-Posed Problems (eBook)
eBook Download:
PDF
2008
|
1. Auflage
202 Seiten
Walter de Gruyter GmbH & Co.KG (Verlag)
978-3-11-020827-6 (ISBN)
202 Seiten
Walter de Gruyter GmbH & Co.KG (Verlag)
978-3-11-020827-6 (ISBN)
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.
Barbara Kaltenbacher, University Stuttgart; Andreas Neubauer, Johannes-Kepler-University Linz, Austria; Otmar Scherzer, University Linz, Austria.
lt;html>
Barbara Kaltenbacher, Universität Stuttgart; Andreas Neubauer, Johannes-Kepler-Universität Linz, Österreich; Otmar Scherzer, Universität Linz, Österreich.