Intelligent Computations: Abstract Fractional Calculus, Inequalities, Approximations / Studies in Computational Intelligence Bd.734 (PDF)
(Sprache: Englisch)
This brief book presents the strong fractional analysis of Banach space valued functions of a real domain. The book's results are abstract in nature: analytic inequalities, Korovkin approximation of functions and neural network approximation. The chapters...
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Produktinformationen zu „Intelligent Computations: Abstract Fractional Calculus, Inequalities, Approximations / Studies in Computational Intelligence Bd.734 (PDF)“
This brief book presents the strong fractional analysis of Banach space valued functions of a real domain. The book's results are abstract in nature: analytic inequalities, Korovkin approximation of functions and neural network approximation. The chapters are self-contained and can be read independently.
This concise book is suitable for use in related graduate classes and many research projects. An extensive list of references is provided for each chapter. The book's results are relevant for many areas of pure and applied mathematics. As such, it offers a unique resource for researchers, and a valuable addition to all science and engineering libraries.
Bibliographische Angaben
- Autor: George A. Anastassiou
- 2017, 1st ed. 2018, 319 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319669362
- ISBN-13: 9783319669366
- Erscheinungsdatum: 02.09.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 3.55 MB
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Sprache:
Englisch
Pressezitat
“In this brief monograph the author presents a strong theory of abstract fractional calculus for Banach–valued functions in which the integrals used to define the fractional derivatives are Bochner type integrals. His presentation includes left and right Caputo type and Canavati type fractional derivatives. … Each chapter is self-contained and can be read independently and, moreover, the monograph is suitable for the use in related graduate Classes.” (Mathematical Reviews, August, 2018)
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