Approximation by Max-Product Type Operators

Author:   Barnabás Bede ,  Lucian Coroianu ,  Sorin G. Gal
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
ISBN:  

9783319816975


Pages:   458
Publication Date:   12 June 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Approximation by Max-Product Type Operators


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Overview

This monograph presents a broad treatment of developments in an area of constructive approximation involving the so-called ""max-product"" type operators. The exposition highlights the max-product operators as those which allow one to obtain, in many cases, more valuable estimates than those obtained by classical approaches. The text considers a wide variety of operators which are studied for a number of interesting problems such as quantitative estimates, convergence, saturation results, localization, to name several. Additionally, the book discusses the perfect analogies between the probabilistic approaches of the classical Bernstein type operators and of the classical convolution operators (non-periodic and periodic cases), and the possibilistic approaches of the max-product variants of these operators. These approaches allow for two natural interpretations of the max-product Bernstein type operators and convolution type operators: firstly, as possibilistic expectations of somefuzzy variables, and secondly, as bases for the Feller type scheme in terms of the possibilistic integral. These approaches also offer new proofs for the uniform convergence based on a Chebyshev type inequality in the theory of possibility. Researchers in the fields of approximation of functions, signal theory, approximation of fuzzy numbers, image processing, and numerical analysis will find this book most beneficial. This book is also a good reference for graduates and postgraduates taking courses in approximation theory.

Full Product Details

Author:   Barnabás Bede ,  Lucian Coroianu ,  Sorin G. Gal
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 2.40cm , Length: 23.50cm
Weight:   0.724kg
ISBN:  

9783319816975


ISBN 10:   3319816977
Pages:   458
Publication Date:   12 June 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface.- 1. Introduction and Preliminaries.- 2. Approximation by Max-Product Bernstein Operators.- 3. Approximation by Max-Product Favard-Szász-Mirakjan Operators.- 4. Approximation by Max-Product Baskakov Operators.- 5. Approximation by Max-Product Bleimann-Butzer-Hahn Operators.- 6. Approximation by Max-Product Meyer-König and Zeller Operators.- 7. Approximation by Max-Product Interpolation Operators.- 8. Approximations by Max-Product Sampling Operators.- 9. Global Smoothness Preservation Properties.- 10. Possibilistic Approaches of the Max-Product Type Operators.- 11. Max-Product Weierstrass Type Functions.- References.- Index.

Reviews

It is very well written and organized, with clear and simple proofs together with some new mathematical techniques. Therefore it can be recommended as a textbook for graduate students and postgraduate researchers as well as a reference book for researchers and professionals working not only in approximation theory, mathematical analysis, and numerical analysis, but also in signal theory, image processing, sampling theory, and engineering. (Harun Karsli, Mathematical Reviews, 2018)


“It is very well written and organized, with clear and simple proofs together with some new mathematical techniques. Therefore it can be recommended as a textbook for graduate students and postgraduate researchers as well as a reference book for researchers and professionals working not only in approximation theory, mathematical analysis, and numerical analysis, but also in signal theory, image processing, sampling theory, and engineering.” (Harun Karsli, Mathematical Reviews, 2018)


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