Zum Hauptinhalt springen Zur Suche springen Zur Hauptnavigation springen

Iterative Regularization Methods for Nonlinear Ill-Posed Problems

Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer
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. Nonlinear inverse problems result from 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. From the contents: Nonlinear Landweber iteration Modified Landweber methods Newton type methods Multilevel methods Level set methods Applications
Autor: Kaltenbacher, Barbara Neubauer, Andreas Scherzer, Otmar
EAN: 9783110204209
Sprache: Englisch
Seitenzahl: 194
Produktart: Gebunden
Verlag: De Gruyter
Schlagworte: Inverse Probleme Iteration
Größe: 240 × 168 × 10
Gewicht: 474 g