Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer

Iterative Regularization Methods for Nonlinear Ill-Posed Problems (eBook, PDF)

• Format: PDF

Produktbeschreibung

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

• Verlag: De Gruyter
• Seitenzahl: 202
• Erscheinungstermin: 25. September 2008
• Englisch
• ISBN-13: 9783110208276
• Artikelnr.: 37362925

Autorenporträt

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

Rezensionen

"This well written monograph may become a standard reference on regularization theory for nonlinear inverse problems."
Thorsten Hohage in: Mathematical Reviews 2010c