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Topics in Multivariate Approximation and Interpolation: Volume 12
Contributor(s): Jetter, Kurt (Editor), Buhmann, Martin (Editor), Haussmann, Werner (Editor)
ISBN: 0444518444     ISBN-13: 9780444518446
Publisher: Elsevier Science
OUR PRICE:   $207.90  
Product Type: Hardcover - Other Formats
Published: December 2005
Qty:
Annotation: 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 Mathematical Modelling, in Signal and Image Processing and in Machine Learning, to mention a few. The book aims at giving a comprehensive information leading the reader from the fundamental notions and results of each field to the forefront of research. It is an ideal and up-to-date introduction for graduate students specializing in these topics, and for researchers in universities and in industry.


- A collection of articles of highest scientific standard.
- An excellent introduction and overview of recent topics from multivariate approximation.
- A valuable source of references for specialists in the field.
- A representation of the state-of-the-art in selected areas of multivariate approximation.
- A rigorous mathematical introduction to special topics of interdisciplinary research.

Additional Information
BISAC Categories:
- Mathematics | Applied
- Mathematics | Mathematical Analysis
- Computers | Computer Graphics
Dewey: 519.535
LCCN: 2005052187
Series: Studies in Computational Mathematics
Physical Information: 0.77" H x 6.74" W x 9.68" (1.63 lbs) 356 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
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 Mathematical Modelling, in Signal and Image Processing and in Machine Learning, to mention a few. The book aims at giving a comprehensive information leading the reader from the fundamental notions and results of each field to the forefront of research. It is an ideal and up-to-date introduction for graduate students specializing in these topics, and for researchers in universities and in industry.


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