Overview
- Presents current approximation methods to encourage new research
- Highlights several methods to determine moments
- Features detailed examples
Part of the book series: SpringerBriefs in Mathematics (BRIEFSMATH)
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Table of contents (3 chapters)
Keywords
About this book
This book is a valuable resource for Graduate students and researchers interested in current techniques and methods within the theory of moments in linear positive operators and approximation theory. Moments are essential to the convergence of a sequence of linear positive operators. Several methods are examined to determine moments including direct calculations, recurrence relations, and the application of hypergeometric series. A collection of operators in the theory of approximation are investigated through their moments and a variety of results are surveyed with fundamental theories and recent developments. Detailed examples are included to assist readers understand vital theories and potential applications.
Reviews
“The book will be useful for researchers in the area of positive linear operators and for those interested in Approximation Theory.” (Ioan Raşa, zbMATH 1448.41001, 2020)
Authors and Affiliations
Bibliographic Information
Book Title: Moments of Linear Positive Operators and Approximation
Authors: Vijay Gupta, Michael Th. Rassias
Series Title: SpringerBriefs in Mathematics
DOI: https://doi.org/10.1007/978-3-030-19455-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-19454-3Published: 28 May 2019
eBook ISBN: 978-3-030-19455-0Published: 25 May 2019
Series ISSN: 2191-8198
Series E-ISSN: 2191-8201
Edition Number: 1
Number of Pages: VIII, 96
Number of Illustrations: 1 b/w illustrations
Topics: Functions of a Complex Variable, Ordinary Differential Equations, Partial Differential Equations, Functional Analysis