Iterative Regularization Methods for Nonlinear Ill-Posed Problems

von Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer

194 Seiten, Hardcover

Kurzbeschreibung des Verlags

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

• Reihe: Radon Series on Computational and Applied Mathematics
• Themen: Mathematik und Naturwissenschaften Mathematik Mathematische Analysis, allgemein
• ISBN: 9783110204209
• Sprache: Englisch
• Erscheinungsdatum: 20.05.2008
• Größe: 24 x 17 cm
• Verlag: De Gruyter