Fractional Dynamics in Natural Phenomena and Advanced Technologies

Dumitru Baleanu · Jordan Hristov

Jan 2024 · Cambridge Scholars Publishing

Ebook

276

Pages

Eligible

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About this ebook

This book addresses different applied problems in order to demonstrate the feasibility of fractional calculus’ use, irrespective of the type of memory kernels used, to model varieties of natural phenomena and new processes emerging in advanced technologies. In this context, the book’s focus is on modelling, adequate results, and interpretations, rather than theorems and proofs.

The book includes a total of 12 chapters, representing various aspects of applied fractional modelling and covering important issues in modern technologies to provide a better understanding of applications of fractional calculus in applied modelling.

The book will be a versatile source of information for undergraduate and graduate students, and for scientists involved in modelling of nonlinear and hereditary phenomena.

About the author

Dumitru Baleanu is a professor at the Institute of Space Sciences, Magurele-Bucharest, Romania and a visiting staff member at the Department of Mathematics, Cankaya University, Ankara, Turkey. He earned his PhD at the Institute of Atomic Physics, Bulgarian Academy of Sciences, in 1996. His fields of interest include fractional dynamics and its applications, and fractional differential equations, and he has published more than 20 books in these areas. Dumitru is Editor in Chief of Progress in Fractional Differentiation and Applications, and he is Coeditor in Chief of Discontinuity, Nonlinearity and Complexity.

Jordan Hristov is a professor of chemical engineering. He was awarded a PhD (1994) and a DSc (2018) in chemical engineering at the University of Chemical Technology and Metallurgy, Sofia, Bulgaria. His areas of interest are transport phenomena, mathematical modelling, fractional calculus, heat transfer, and dimensional analysis regarding approximate analytical solutions of non-linear and fractional problems, heat conduction, and non-linear diffusion.

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