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Iterative regularization methods for nonlinear ill-posed problems
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 a...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
De Gruyter
2008
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1992215 |