Buch, Englisch, 296 Seiten, Format (B × H): 155 mm x 231 mm, Gewicht: 635 g
Buch, Englisch, 296 Seiten, Format (B × H): 155 mm x 231 mm, Gewicht: 635 g
ISBN: 978-0-521-80023-5
Verlag: CAMBRIDGE
Multivariate approximation theory is today an increasingly active research area. It encompasses a wide range of tools for multivariate approximation such as multi-dimensional splines and finite elements, shift-invariant spaces and radial-basis functions. Approximation theory in the multivariate setting has many applications including numerical analysis, wavelet analysis, signal processing, geographic information systems, computer aided geometric design and computer graphics. The field is fascinating since much of the mathematics of the classical univariate theory does not straightforwardly generalize to the multivariate setting, so new tools are required. This advanced introduction to multivariate approximation and related topics consists of nine articles written by leading experts surveying many of the new ideas and their applications. Each article introduces a particular topic, takes the reader to the forefront of research and ends with a comprehensive bibliography. This unique account is an ideal introduction to the subject for researchers, in universities and industry, and graduate students.
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Weitere Infos & Material
List of contributors; Preface; 1. Characterization and construction of radial basis functions R. Schaback and H. Wendland; 2. Approximation and interpolation with radial functions M. D. Buhmann; 3. Representing and analyzing scattered data on spheres H. N. Mhaskar, F. J. Narcowich and J. D. Ward; 4. A survey on L2-approximation orders from shift-invariant spaces K. Jetter and G. Plonka; 5. Introduction to shift-invariant spaces. Linear independence A. Ron; 6. Theory and algorithms for nonuniform spline wavelets T. Lyche, K. Mørken and E. Quak; 7. Applied and computational aspects of nonlinear wavelet approximation A. Cohen; 8. Subdivision, multiresolution and the construction of scalable algorithms in computer graphics P. Schröder; 9. Mathematical methods in reverse engineering J. Hoschek.
