Iterative Regularization Methods for Nonlinear Ill-Posed Problems
(Sprache: Englisch)
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....
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Klappentext zu „Iterative Regularization Methods for Nonlinear Ill-Posed Problems “
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
Autoren-Porträt von Otmar Scherzer, Barbara Kaltenbacher, Andreas Neubauer
Barbara Kaltenbacher, Universität Stuttgart; Andreas Neubauer, Johannes-Kepler-Universität Linz, Österreich; Otmar Scherzer, Universität Linz, Österreich.
Bibliographische Angaben
- Autoren: Otmar Scherzer , Barbara Kaltenbacher , Andreas Neubauer
- 2008, VIII, 194 Seiten, Maße: 17,5 x 24,6 cm, Gebunden, Englisch
- Verlag: De Gruyter
- ISBN-10: 3110204207
- ISBN-13: 9783110204209
- Erscheinungsdatum: 20.05.2008
Sprache:
Englisch
Rezension zu „Iterative Regularization Methods for Nonlinear Ill-Posed Problems “
"This well written monograph may become a standard reference on regularization theory for nonlinear inverse problems."Thorsten Hohage in: Mathematical Reviews 2010c
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