Nonlinear Least Squares for Inverse Problems Theoretical Foundations and Step-by-Step Guide for Applications /
This book provides an introduction into the least squares resolution of nonlinear inverse problems. The first goal is to develop a geometrical theory to analyze nonlinear least square (NLS) problems with respect to their quadratic wellposedness, i.e. both wellposedness and optimizability. Using the...
| Κύριος συγγραφέας: | |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Dordrecht :
Springer Netherlands,
2010.
|
| Σειρά: | Scientific Computation,
|
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Nonlinear Least Squares
- Nonlinear Inverse Problems: Examples and Difficulties
- Computing Derivatives
- Choosing a Parameterization
- Output Least Squares Identifiability and Quadratically Wellposed NLS Problems
- Regularization of Nonlinear Least Squares Problems
- A generalization of convex sets
- Quasi-Convex Sets
- Strictly Quasi-Convex Sets
- Deflection Conditions for the Strict Quasi-convexity of Sets.
