
Intelligent Comparisons II: Operator Inequalities and Approximations
George A. Anastassiou(Author)
Springer (Publisher)
Published on 19. January 2017
Book
Hardback
XII, 224 pages
978-3-319-51474-1 (ISBN)
Description
This compact book focuses on self-adjoint operators' well-known named inequalities and Korovkin approximation theory, both in a Hilbert space environment. It is the first book to study these aspects, and all chapters are self-contained and can be read independently. Further, each chapter includes an extensive list of references for further reading.
The book's results are expected to find applications in many areas of pure and applied mathematics. Given its concise format, it is especially suitable for use in related graduate classes and research projects. As such, the book offers a valuable resource for researchers and graduate students alike, as well as a key addition to all science and engineering libraries.
The book's results are expected to find applications in many areas of pure and applied mathematics. Given its concise format, it is especially suitable for use in related graduate classes and research projects. As such, the book offers a valuable resource for researchers and graduate students alike, as well as a key addition to all science and engineering libraries.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
XII, 224 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 19 mm
Weight
524 gr
ISBN-13
978-3-319-51474-1 (9783319514741)
DOI
10.1007/978-3-319-51475-8
Schweitzer Classification
Other editions
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George A. Anastassiou
Intelligent Comparisons II: Operator Inequalities and Approximations
Book
07/2018
Springer
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George A. Anastassiou
Intelligent Comparisons II: Operator Inequalities and Approximations
E-Book
01/2017
Springer
€96.29
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Person
George Anastassiou is Professor at the University of Memphis. Research interests include Computational analysis, approximation theory, probability, theory of moments. Professor Anastassiou has authored and edited several publications with Springer including "Fractional Differentiation Inequalities" (c) 2009, "Fuzzy Mathematics: Approximation Theory" (c) 2010, "Intelligent Systems: Approximation by Artificial Neural Networks" (c) 2014, "The History of Approximation Theory" (c) 2005, "Modern Differential Geometry in Gauge Theories" (c) 2006, and more.
Razvan Alex Mezei received his PhD from the University of Memphis and currently holds an assistant professorship and Lenoir-Rhyne University, Hickory, North Carolina. He teaches mathematics as well as computer science/IT courses to undergraduates and is a computing sciences program coordinator. Mezei has extensive experience in computer programming and software development and has written several publications with George Anastassiou.
Content
Preface.- Self Adjoint Operator Korovkin type Quantitative Approximation Theory.- Self Adjoint Operator Korovkin and polynomial direct Approximations with rates.- Quantitative Self Adjoint Operator other Direct Approximations.- Fractional Self Adjoint Operator Poincare and Sobolev Inequalities.- Self Adjoint Operator Ostrowski Inequalities.- Integer and Fractional Self Adjoint Operator Opial Inequalities.- Self Adjoint Operator Chebyshev-Gruss Inequalities.- Ultra General Fractional Self Adjoint Operator Representation formulae and Operator Poincare and Sobolev and other basic Inequalities.- Harmonic Self Adjoint Operator Chebyshev-Gruss type Inequalities.- Ultra general Self Adjoint Operator Chebyshev-Gruss type Inequalities.- About a fractional Means inequality.