Iterative Regularization Methods for Nonlinear Ill-Posed Problems
Av Andreas Neubauer, Otmar Scherzer, Barbara Kaltenbacher, 2008.Del av serien Radon Series on Computational and Applied Mathematics.
Nonlinear inverse problems result from 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.
From the contents:
- Nonlinear Landweber iteration
- Modified Landweber methods
- Newton type methods
- Multilevel methods
- Level set methods
- Applications
Språk: Engelsk
Oppdag mer
Iterative Regularization Methods for Nonlinear Ill-Posed Problems
Av Andreas Neubauer, Otmar Scherzer, Barbara Kaltenbacher, 2008.Del av serien Radon Series on Computational and Applied Mathematics.
Nonlinear inverse problems result from 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.
From the contents:
- Nonlinear Landweber iteration
- Modified Landweber methods
- Newton type methods
- Multilevel methods
- Level set methods
- Applications
Oppdag mer
Språk: Engelsk
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