Title: Iterative Regularization Methods for Nonlinear Ill-Posed Problems (Radon Series on Computational and Applied Mathematics, 6)
Publisher: De Gruyter
Publication Date: 2008
Language: English
ISBN 10: 3110204207
ISBN 13: 9783110204209
Binding: Hardcover
Condition: New

About this title

Synopsis

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.

About the Authors

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

Barbara Kaltenbacher, Universit�t Stuttgart; Andreas Neubauer, Johannes-Kepler-Universit�t Linz, �sterreich; Otmar Scherzer, Universit�t Linz, �sterreich.

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