Fractional Differential Equations

An Approach via Fractional Derivatives

von

Jin, Bangti

BuchGebunden

Verkaufsrang24234inMathematik

CHF91.90

BuchabCHF71.90

eBookCHF59.00

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Produktinformationen

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.

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Details

ISBN/GTIN978-3-030-76042-7

ProduktartBuch

EinbandGebunden

VerlagSpringer

Erscheinungsdatum23.07.2021

Auflage1st ed. 2021

ReiheApplied Mathematical Sciences

Reihen-Nr.206

Seiten384 Seiten

SpracheEnglisch

MasseBreite 160 mm, Höhe 241 mm, Dicke 25 mm

Gewicht810 g

WarengruppeNaturwissenschaft

KategorieMathematik

Weitere Details

Reihe

Linear Integral Equations

An Introduction to Theory and Applications of Stationary Variational-Hemivariational Inequalities

The Riemann Problem in Continuum Physics

Normal Forms and Stability of Hamiltonian Systems

Nonlinear Problems of Elasticity

Bayesian Scientific Computing

Numerical Treatment and Analysis of Time-Fractional Evolution Equations

Applications of Percolation Theory

Multiscale Model Reduction

Kritiken und Kommentare

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Über die Autorin/den Autor

Jin, Bangti

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.