Topics in multivariate approximation and interpolation /
This book is a collection of eleven articles, written by leading experts and dealing with special topics in Multivariate Approximation and Interpolation. The material discussed here has far-reaching applications in many areas of Applied Mathematics, such as in Computer Aided Geometric Design, in Mat...
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Amsterdam ; Boston :
Elsevier,
2006.
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Edición: | 1st ed. |
Colección: | Studies in computational mathematics ;
12. |
Temas: | |
Acceso en línea: | Texto completo Texto completo Texto completo |
Tabla de Contenidos:
- Preface.
- 1. Durrmeyer Operators and Their Natural Quasi-Interpolants (E. Berdysheva, K. Jetter and J. S�tckler).
- 2. Three Families of Nonlinear Subdivision Schemes (N. Dyn).
- 3. Parameterization for Curve Interpolation (M.S. Floater and T. Surazhsky).
- 4. Refinable Multivariate Spline Functions (T. Goodman and D. Hardin).
- 5. Adaptive Wavelets for Sparse Representations of Scattered Data (A. Kunoth).
- 6. Ready-to-Blossom Bases in Chebyshev Spaces (M-L. Mazure).
- 7. Structural Analysis of Subdivision Surfaces
- A Summary (U. Reif and J. Peters).
- 8. Polynomial Interpolation in Several Variables: Lattices, Differences and Ideals (T. Sauer).
- 9. Computational Aspects of Radial Basis Function Approximation (H. Wendland).
- 10. Learning Theory: From Regression to Classification (Q. Wu, Y. Ying and D-X. Zhou).
- 11. Coherent States from Nonunitary Representations (G. Zimmermann).
- Index.
- Durrmeyer operators and their natural quasi-interpolants
- Three families of nonlinear subdivision schemes
- Parameterization for curve interpolation
- Refinable multivariate spline functions
- Adaptive wavelets for sparse representations of scattered data
- Ready-to-blossom bases in Chebyshev spaces
- Structural analysis of subdivision surfaces-a summary
- Polynomial interpolation in several variables : lattices, differences, and ideals
- Computational aspects of radial basis function approximation
- Learning theory : from regression to classification
- Coherent states from nonunitary representations.