Fractional differential equations: an approach via fractional derivatives

By:

Jin, Bangti

Material type: Text

TextSeries: Applied mathematical Sciences Vol. 206Publication details: Springer Switzerland 2021Description: xiv, 368 pISBN:

9783030760458

Subject(s):

Fractional differential equations

DDC classification:

515.35 JIN

Summary: 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. (https://link.springer.com/book/10.1007/978-3-030-76043-4)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	515.35 JIN (Browse shelf(Opens below))	1	Available		006876

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Previous	515 HAS Thomas' calculus	515 KLI Calculus: an intuitive and physical approach	515 WAD An introduction to analysis	515.35 JIN Fractional differential equations: an approach via fractional derivatives	515.35 POL Differential equations	516.001 BER An essay on the foundations of geometry	517.38 ZIL A first course in differential equations with modeling applications	Next

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.
(https://link.springer.com/book/10.1007/978-3-030-76043-4)

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