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Iterative Regularization Methods for Nonlinear Ill-Posed Problems
ISBN-13:
9783110208276
Veröffentl:
2008
Seiten:
202
Autor:
Barbara Kaltenbacher
Serie:
6, Radon Series on Computational and Applied Mathematics
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
0 - No protection
Sprache:
Englisch
Beschreibung:
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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