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Inhaltsverzeichnis
- 1. Splines in Hilbert Spaces.
- 2. Reproducing Mappings and Characterization of Splines.
- 3. General Convergence Techniques and Error Estimates for Interpolating Splines.
- 4. Splines in Subspaces.
- 5. Interpolating DM-Splines.
- 6. Splines on Manifolds.
- 7. Vector Splines.
- 8. Tensor and Blending Splines.
- 9. Optimal Approximation of Linear Operators.
- 10. Classification of Spline Objects.
- 11. ??-Approximations and Data Compression.
- 12. Algorithms for Optimal Smoothing Parameter.
- Appendices.
- Theorems from Functional Analysis Used in This Book.
- A.1 Convergence in Hilbert Space.
- A.2 Theorems on Linear Operators.
- A.3 Sobolev Spaces in Domain.
- On Software Investigations in Splines.
- B.1 One-Dimensional Case.
- B.2 Multi-Dimensional Case.