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.
Catégories:
Année:
2008
Edition:
1
Editeur::
Walter de Gruyter
Langue:
english
Pages:
200
ISBN 10:
311020827X
ISBN 13:
9783110208276
Collection:
Computational and Applied Mathematics
Fichier:
PDF, 1.32 MB
IPFS:
,
english, 2008