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Hardback

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English
CRC Press
30 September 2019
This book features original research articles on the topic of mathematical modelling and fractional differential equations. The contributions, written by leading researchers in the field, consist of chapters on classical and modern dynamical systems modelled by fractional differential equations in physics, engineering, signal processing, fluid mechanics, and bioengineering, manufacturing, systems engineering, and project management.

The book offers theory and practical applications for the solutions of real-life problems and will be of interest to graduate level students, educators, researchers, and scientists interested in mathematical modelling and its diverse applications.

Features

Presents several recent developments in the theory and applications of fractional calculus

Includes chapters on different analytical and numerical methods dedicated to several mathematical equations

Develops methods for the mathematical models which are governed by fractional differential equations

Provides methods for models in physics, engineering, signal processing, fluid mechanics, and bioengineering

Discusses real-world problems, theory, and applications
Edited by:   , , , ,
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 234mm,  Width: 156mm, 
Weight:   536g
ISBN:   9780367220082
ISBN 10:   0367220083
Series:   Mathematics and its Applications
Pages:   254
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
1. Fractional Model of Vibration Equation. 2. Fractional Schrodinger Equations. 3. Fractional Advection-Dispersion Equations. 4. Fractional Model of Chemical Reactors. 5. Fractional Gas Dynamics Equations. 6. Fractional Model of Smoking Dynamics. 7. Fractional Riccati Differential Equations. 8. Fractional Model of Bloch Equations. 9. Fractional Model of Diffusion Equations. 10. Fractional Klein-Gordon Equations. 11. Fractional Fornberg-Whitham Equation. 12. Fractional Biological Population Model.

Harendra Singh, Devendra Kumar, Dumitru Baleanu

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