Mathematical Topics on Modelling Complex Systems

Mathematical Topics on Modelling Complex Systems
Author :
Publisher : Springer Nature
Total Pages : 191
Release :
ISBN-10 : 9789811641695
ISBN-13 : 9811641692
Rating : 4/5 (692 Downloads)

Book Synopsis Mathematical Topics on Modelling Complex Systems by : J. A. Tenreiro Machado

Download or read book Mathematical Topics on Modelling Complex Systems written by J. A. Tenreiro Machado and published by Springer Nature. This book was released on 2022-06-08 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores recent developments in theoretical research and mathematical modelling of real-world complex systems, organized in four parts. The first part of the book is devoted to the mathematical tools for the design and analysis in engineering and social science study cases. We discuss the periodic evolutions in nonlinear chemical processes, vibro-compact systems and their behaviour, different types of metal–semiconductor self-assembled samples, made of silver nanowires and zinc oxide nanorods. The second part of the book is devoted to mathematical description and modelling of the critical events, climate change and robust emergency scales. In three chapters, we consider a climate-economy model with endogenous carbon intensity and the behaviour of Tehran Stock Exchange market under international sanctions. The third part of the book is devoted to fractional dynamic and fractional control problems. We discuss the novel operational matrix technique for variable-order fractional optimal control problems, the nonlinear variable-order time fractional convection–diffusion equation with generalized polynomials The fourth part of the book concerns solvability and inverse problems in differential and integro-differential equations. The book facilitates a better understanding of the mechanisms and phenomena in nonlinear dynamics and develops the corresponding mathematical theory to apply nonlinear design to practical engineering. It can be read by mathematicians, physicists, complex systems scientists, IT specialists, civil engineers, data scientists and urban planners.


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