Author: | George A Anastassiou, Merve Kester | ISBN: | 9789813145856 |
Publisher: | World Scientific Publishing Company | Publication: | September 29, 2016 |
Imprint: | WSPC | Language: | English |
Author: | George A Anastassiou, Merve Kester |
ISBN: | 9789813145856 |
Publisher: | World Scientific Publishing Company |
Publication: | September 29, 2016 |
Imprint: | WSPC |
Language: | English |
In this monograph, we present the authors' recent work of the last seven years in Approximation Theory. Chapters are self-contained and can be read independently and advanced courses can be taught out of this book. Here our generalized discrete singular operators are of the following types: Picard, Gauss–Weierstrass and Poisson–Cauchy operators. We treat both the unitary and non-unitary, univariate and multivariate cases of these operators, which are not necessarily positive operators. The book's results are expected to find applications in many areas of pure and applied mathematics, and statistics. As such, it is suitable for researchers, graduate students, and seminars of related subjects, and serves well as an invaluable resource for all science libraries.
Contents:
Readership: Graduate students and researchers interested in approximation theory.
Key Features:
In this monograph, we present the authors' recent work of the last seven years in Approximation Theory. Chapters are self-contained and can be read independently and advanced courses can be taught out of this book. Here our generalized discrete singular operators are of the following types: Picard, Gauss–Weierstrass and Poisson–Cauchy operators. We treat both the unitary and non-unitary, univariate and multivariate cases of these operators, which are not necessarily positive operators. The book's results are expected to find applications in many areas of pure and applied mathematics, and statistics. As such, it is suitable for researchers, graduate students, and seminars of related subjects, and serves well as an invaluable resource for all science libraries.
Contents:
Readership: Graduate students and researchers interested in approximation theory.
Key Features: