Mathematical Topics on Modelling Complex Systems: In Memory of Professor Valentin Afraimovich

Author:   J. A. Tenreiro Machado ,  Dimitri Volchenkov
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2022
ISBN:  

9789811641718


Pages:   184
Publication Date:   11 June 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Mathematical Topics on Modelling Complex Systems: In Memory of Professor Valentin Afraimovich


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Author:   J. A. Tenreiro Machado ,  Dimitri Volchenkov
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2022
Weight:   0.308kg
ISBN:  

9789811641718


ISBN 10:   9811641714
Pages:   184
Publication Date:   11 June 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Dr. J.A. Tenreiro Machado was born at 1957. He graduated with ‘Licenciatura’ (1980), Ph.D. (1989) and ‘Habilitation’ (1995), in Electrical and Computer Engineering at the University of Porto. During 1980–1998, he worked at the Dept. of Electrical and Computer Engineering of the University of Porto. Since 1998, he works at the Institute of Engineering, Polytechnic Institute of Porto, Dept. of Electrical Engineering. His research interests are complex systems, nonlinear dynamics, fractional calculus, modelling, control, entropy, evolutionary computing, genomics, robotics and intelligent transportation systems.   Dr. Dimitri Volchenkov obtained his Ph.D. in Theoretical Physics in the Saint Petersburg State University (Russia) and habilitated in the CNRS Centre de Physique Theorique (Marseille, France). He is Associate Professor of Mathematics and Statistics at the Texas Tech University (USA) and Professor Risk Assessment and Data Science at the Sichuan University of Science and Engineering (China). His research interests are the science of complexity and interdisciplinary physics ranging from the stochastic nonlinear dynamics to plasma turbulence, to urban spatial networks, and their impact on poverty and environments, analysis of complex networks, data analysis of economic, inequality and politics data, big data analytics, survival analysis, modelling of evolutionary biology and ecology.

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