Iterative Regularization Methods for Nonlinear Ill-Posed Problems / / Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer.
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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| Superior document: | Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1 |
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| VerfasserIn: | |
| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2008] ©2008 |
| Year of Publication: | 2008 |
| Language: | English |
| Series: | Radon Series on Computational and Applied Mathematics ,
6 |
| Online Access: | |
| Physical Description: | 1 online resource (194 p.) |
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