Iterative regularization methods for nonlinear ill-posed problems
Kaltenbacher, Barbara
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.
Κατηγορίες:
Έτος:
2008
Έκδοση:
1
Εκδότης:
Walter de Gruyter
Γλώσσα:
english
Σελίδες:
200
ISBN 10:
311020827X
ISBN 13:
9783110208276
Σειρές:
Computational and Applied Mathematics
Αρχείο:
PDF, 1.32 MB
IPFS:
,
english, 2008