Del 206 i serien Applied Mathematical Sciences

Fractional Differential Equations

An Approach via Fractional Derivatives

Häftad, Engelska, 2022

AvBangti Jin

709 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (1)

Inbunden

979 kr

Skickas inom 10-15 vardagar

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.

Produktinformation

Utgivningsdatum2022-07-24
Mått155 x 235 x 21 mm
Vikt581 g
FormatHäftad
SpråkEngelska
SerieApplied Mathematical Sciences
Antal sidor368
FörlagSpringer Nature Switzerland AG
ISBN9783030760458

Tillhör följande kategorier

Beräkning och matematisk analys inom Naturvetenskap och teknik

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.