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...
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Full text (MCPHS users only) |
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| Main Author: | |
| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin :
Walter de Gruyter,
2008
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| Series: | Radon Series on Computational and Applied Mathematics, v. 6.
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| Subjects: | |
| Local Note: | ProQuest Ebook Central |
