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Item Details
| Title:
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ITERATIVE REGULARIZATION METHODS FOR NONLINEAR ILL-POSED PROBLEMS
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| By: |
Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer |
| Format: |
Electronic book text |
| List price:
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£130.00 |
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We believe that this item is permanently unavailable, and so we cannot source
it.
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| ISBN 10: |
311020827X |
| ISBN 13: |
9783110208276 |
| Publisher: |
DE GRUYTER |
| Pub. date: |
25 September, 2008 |
| Series: |
Radon Series on Computational and Applied Mathematics 6 |
| Pages: |
194 |
| Synopsis: |
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. |
| US Grade: |
College Graduate Student |
| Publication: |
Germany |
| Imprint: |
Walter de Gruyter & Co |
| Returns: |
Non-returnable |
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