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The Many Facets of Complexity Science

eBook - In Memory of Professor Valentin Afraimovich, Nonlinear Physical Science
SPRINGER
ISBN/EAN: 9789811628535
Umbreit-Nr.: 2833165

Sprache: Englisch
Umfang: 0 S., 6.92 MB
Format in cm:
Einband: Keine Angabe

Erschienen am 30.08.2021
Auflage: 1/2021


E-Book
Format: PDF
DRM: Digitales Wasserzeichen
€ 136,95
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  • Zusatztext
    • <p>This book explores recent developments in theoretical research and data analysis of real-world complex systems, organized in three parts, namely</p><p>Entropy, information, and complexity functions</p><p>Multistability, oscillations, and rhythmic synchronization</p><p>Diffusions, rotation, and convection in fluids</p><p> </p><p>The collection of works devoted to the memory of Professor Valentin Afraimovich provides a deep insight into the recent developments in complexity science by introducing new concepts, methods, and applications in nonlinear dynamical systems covering physical problems and mathematical modelling relevant to economics, genetics, engineering vibrations, as well as classic problems in physics, fluid and climate dynamics, and urban dynamics.</p><p> </p><p>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.</p><br>
  • Autorenportrait
    • <p>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 of 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, their impact on poverty and environments, analysis of complex networks, data analysis of economic, inequality and politics data, big data analytics, survival analysis and modelling of evolutionary biology and ecology.</p>