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Geometric Approximation Theory

  • Book
  • © 2021

Overview

  • Presents novel results in monograph form
  • Funded by the Russian Foundation for Basic Research
  • Suitable for researchers and postgraduates

Part of the book series: Springer Monographs in Mathematics (SMM)

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Table of contents (17 chapters)

Keywords

About this book

This monograph provides a comprehensive introduction to the classical geometric approximation theory, emphasizing important themes related to the theory including uniqueness, stability, and existence of elements of best approximation. It presents a number of fundamental results for both these and related problems, many of which appear for the first time in monograph form. The text also discusses the interrelations between main objects of geometric approximation theory, formulating a number of auxiliary problems for demonstration. Central ideas include the problems of existence and uniqueness of elements of best approximations as well as properties of sets including subspaces of polynomials and splines, classes of rational functions, and abstract subsets of normed linear spaces. The book begins with a brief introduction to geometric approximation theory, progressing through fundamental classical ideas and results as a basis for various approximation sets, suns, and Chebyshev systems. Itconcludes with a review of approximation by abstract sets and related problems, presenting novel results throughout the section. This text is suitable for both theoretical and applied viewpoints and especially researchers interested in advanced aspects of the field. 

Authors and Affiliations

  • Faculty of Mechanics and Mathematics, Moscow State University, Moscow, Russia

    Alexey R. Alimov, Igor’ G. Tsar’kov

Bibliographic Information

  • Book Title: Geometric Approximation Theory

  • Authors: Alexey R. Alimov, Igor’ G. Tsar’kov

  • Series Title: Springer Monographs in Mathematics

  • DOI: https://doi.org/10.1007/978-3-030-90951-2

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-90950-5Published: 29 March 2022

  • Softcover ISBN: 978-3-030-90953-6Published: 30 March 2023

  • eBook ISBN: 978-3-030-90951-2Published: 29 March 2022

  • Series ISSN: 1439-7382

  • Series E-ISSN: 2196-9922

  • Edition Number: 1

  • Number of Pages: XXI, 508

  • Number of Illustrations: 21 b/w illustrations

  • Topics: Approximations and Expansions

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