Approximation by Max-Product Type Operators
Author:   Barnabás Bede ,  Lucian Coroianu ,  Sorin G. Gal
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
ISBN:  

9783319341880


Pages:   458
Publication Date:   17 August 2016
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Approximation by Max-Product Type Operators


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Author:   Barnabás Bede ,  Lucian Coroianu ,  Sorin G. Gal
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 2.70cm , Length: 23.50cm
Weight:   8.336kg
ISBN:  

9783319341880


ISBN 10:   331934188
Pages:   458
Publication Date:   17 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
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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