Intelligent Numerical Methods: Applications to Fractional Calculus

Lieferzeit: Lieferbar innerhalb 14 Tagen

160,49 

Studies in Computational Intelligence 624

ISBN: 3319267205
ISBN 13: 9783319267203
Autor: Anastassiou, George A/Argyros, Ioannis K
Verlag: Springer Verlag GmbH
Umfang: xvi, 423 S., 2 farbige Illustr., 423 p. 2 illus. in color.
Erscheinungsdatum: 15.12.2015
Auflage: 1/2016
Produktform: Gebunden/Hardback
Einband: Gebunden

In this monograph the authors present Newton-type, Newton-like and other numerical methods, which involve fractional derivatives and fractional integral operators, for the first time studied in the literature. All for the purpose to solve numerically equations whose associated functions can be also non-differentiable in the ordinary sense. That is among others extending the classical Newton method theory which requires usual differentiability of function.Chapters are self-contained and can be read independently and several advanced courses can be taught out of this book. An extensive list of references is given per chapter. The book’s results are expected to find applications in many areas of applied mathematics, stochastics, computer science and engineering. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also to be in all science and engineering libraries.

Artikelnummer: 8715530 Kategorie:

Beschreibung

In this monograph the authors present Newton-type, Newton-like and other numerical methods, which involve fractional derivatives and fractional integral operators, for the first time studied in the literature. All for the purpose to solve numerically equations whose associated functions can be also non-differentiable in the ordinary sense. That is among others extending the classical Newton method theory which requires usual differentiability of function.Chapters are self-contained and can be read independently and several advanced courses can be taught out of this book. An extensive list of references is given per chapter. The books results are expected to find applications in many areas of applied mathematics, stochastics, computer science and engineering.As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also to be in all science and engineering libraries.

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