Intelligent Numerical Methods II: Applications to Multivariate Fractional Calculus / Studies in Computational Intelligence Bd.649 (PDF)
(Sprache: Englisch)
In this short monograph Newton-like
and other similar numerical methods with applications to solving multivariate
equations are developed, which involve Caputo
type fractional mixed partial derivatives and multivariate fractional...
and other similar numerical methods with applications to solving multivariate
equations are developed, which involve Caputo
type fractional mixed partial derivatives and multivariate fractional...
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In this short monograph Newton-like
and other similar numerical methods with applications to solving multivariate
equations are developed, which involve Caputo
type fractional mixed partial derivatives and multivariate fractional Riemann-Liouville
integral operators. These are studied for the first time in the literature. The
chapters are self-contained and can be read independently. 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 short monograph is suitable for
researchers, graduate students, to be used in graduate classes and seminars of
the above subjects, also to be in all science and engineering libraries.
and other similar numerical methods with applications to solving multivariate
equations are developed, which involve Caputo
type fractional mixed partial derivatives and multivariate fractional Riemann-Liouville
integral operators. These are studied for the first time in the literature. The
chapters are self-contained and can be read independently. 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 short monograph is suitable for
researchers, graduate students, to be used in graduate classes and seminars of
the above subjects, also to be in all science and engineering libraries.
Bibliographische Angaben
- Autoren: George A. Anastassiou , Ioannis K. Argyros
- 2016, 1st ed. 2016, 116 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319336061
- ISBN-13: 9783319336060
- Erscheinungsdatum: 27.04.2016
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 1.55 MB
- Ohne Kopierschutz
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Sprache:
Englisch
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