Topics in Multivariate Approximation and Interpolation

Nonfiction, Science & Nature, Mathematics, Mathematical Analysis, Art & Architecture, General Art, Graphic Art & Design, General Design
Cover of the book Topics in Multivariate Approximation and Interpolation by , Elsevier Science
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Author: ISBN: 9780080462042
Publisher: Elsevier Science Publication: November 15, 2005
Imprint: Elsevier Science Language: English
Author:
ISBN: 9780080462042
Publisher: Elsevier Science
Publication: November 15, 2005
Imprint: Elsevier Science
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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