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Interpolation and Approximation with Splines and fractals

Langue : Anglais

Auteur :

Couverture de l’ouvrage Interpolation and Approximation with Splines and fractals
This textbook is intended to supplement the classical theory of uni- and multivariate splines and their approximation and interpolation properties with those of fractals, fractal functions, and fractal surfaces. This synthesis will complement currently required courses dealing with these topics and expose the prospective reader to some new and deep relationships. In addition to providing a classical introduction to the main issues involving approximation and interpolation with uni- and multivariate splines, cardinal and exponential splines, and their connection to wavelets and multiscale analysis, which comprises the first half of the book, the second half will describe fractals, fractal functions and fractal surfaces, and their properties. This also includes the new burgeoning theory of superfractals and superfractal functions. The theory of splines is well-established but the relationship to fractal functions is novel. Throughout the book, connections between these two apparently different areas will be exposed and presented. In this way, more options are given to the prospective reader who will encounter complex approximation and interpolation problems in real-world modeling. Numerous examples, figures, and exercises accompany the material.
1. The General Interpolation and Approximation Problem. 2. Splines. 3. Interpolation in Rs, s agt, 1. 4. Fractals. 5. Fractal Functions. 6. Fractal Surfaces. 7. Superfractals. 8. Superfractal Functions.
Peter Massopust holds a Master of Science in physics and a Ph.D. in applied mathematics. Dr. Massopust is best known for his work in fractal geometry, in particular fractal functions and fractal surfaces, and wavelet theory. His current research interests focus on complex splines and wavelets, and their applications to signal and image processing. He is currently a Senior Research Scientist on the Marie Curie Excellence in Research Team MAMEBIA.

Date de parution :

Ouvrage de 336 p.

16.1x24.2 cm

Épuisé