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Fractional Differential Equations: An Approach via Fractional Derivatives: 206 (Applied Mathematical Sciences) - Hardcover
Inhaltsangabe
This graduate textbook provides a self-contained introduction to modern mathematical theory on fractional differential equations. It addresses both ordinary and partial differential equations with a focus on detailed solution theory, especially regularity theory under realistic assumptions on the problem data. The text includes an extensive bibliography, application-driven modeling, extensive exercises, and graphic illustrations throughout to complement its comprehensive presentation of the field. It is recommended for graduate students and researchers in applied and computational mathematics, particularly applied analysis, numerical analysis and inverse problems.
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Über die Autorin bzw. den Autor
Bangti Jin received the B.Eng. degree in polymeric materials and engineering in 2002, theM.Sc. degree in computational mathematics in 2005, both from Zhejiang University, Hangzhou, China, and the Ph.D. degree in applied mathematics from the Chinese University of Hong Kong, Hong Kong, in 2008. Previously, he was an Assistant Professor of mathematics at the University of California, Riverside (2013–2014), a Visiting Assistant Professor at Texas A&M University (2010–2013), an Alexandre von Humboldt Postdoctoral Researcher at the University of Bremen (2009–2010). He is currently Professor of Inverse Problems at the Department of Computer Science, University College London, London, U.K. His research interests include computational inverse problems and numerical analysis of differential equations.
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This graduate textbook provides a self-contained introduction to modern mathematical theory on fractional differential equations. It addresses both ordinary and partial differential equations with a focus on detailed solution theory, especially regularity theory under realistic assumptions on the problem data. The text includes an extensive bibliography, application-driven modeling, extensive exercises, and graphic illustrations throughout to complement its comprehensive presentation of the field. It is recommended for graduate students and researchers in applied and computational mathematics, particularly applied analysis, numerical analysis and inverse problems.
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- VerlagSpringer-Verlag GmbH
- Erscheinungsdatum2021
- ISBN 10 3030760421
- ISBN 13 9783030760427
- EinbandTapa dura
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten384
- Kontakt zum HerstellerNicht verfügbar
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Fractional Differential Equations. An Approach via Fractional Derivatives.
Verlag:
Cham, Springer International Publishing, 2021
ISBN 10: 3030760421
ISBN 13: 9783030760427
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Hardcover
Anbieter: Antiquariat Bookfarm, Löbnitz, Deutschland
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Hardcover. 1st ed. 2021. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. C-01900 9783030760427 Sprache: Englisch Gewicht in Gramm: 1150. Artikel-Nr. 2485786
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Fractional Differential Equations: An Approach via Fractional Derivatives (Applied Mathematical Sciences, 206)
Verlag:
Springer (edition 1st ed. 2021), 2021
ISBN 10: 3030760421
ISBN 13: 9783030760427
Gebraucht
Hardcover
Anbieter: BooksRun, Philadelphia, PA, USA
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Hardcover. Zustand: As New. 1st ed. 2021. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Artikel-Nr. 3030760421-10-1
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Fractional Differential Equations : An Approach via Fractional Derivatives
Verlag:
Springer International Publishing, 2021
ISBN 10: 3030760421
ISBN 13: 9783030760427
Neu
Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This graduate textbook provides a self-contained introduction to modern mathematical theory on fractional differential equations. It addresses both ordinary and partial differential equations with a focus on detailed solution theory, especially regularity theory under realistic assumptions on the problem data. The text includes an extensive bibliography, application-driven modeling, extensive exercises, and graphic illustrations throughout to complement its comprehensive presentation of the field. It is recommended for graduate students and researchers in applied and computational mathematics, particularly applied analysis, numerical analysis and inverse problems. Artikel-Nr. 9783030760427
Anzahl: 1 verfügbar