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Autor(en): 
  • Nicola Bellomo
  • Modeling Complex Living Systems: A Kinetic Theory and Stochastic Game Approach 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2007  
    Genre:  Schulbücher 
     
    Angewandte Mathematik / Applications of Mathematics / Applied mathematics / B / Biomathematics / DV-gestützte Biologie/Bioinformatik / Engineering mathematics / game theory
    ISBN:  9780817645106 
    EAN-Code: 
    9780817645106 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Modeling and Simulation in Science, Engineering and Technology  
    Dimensionen:  H 235 mm / B 155 mm / D 17 mm 
    Gewicht:  524 gr 
    Seiten:  220 
    Illustration:  XII, 220 p. 37 illus., schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Using tools from mathematical kinetic theory and stochastic game theory, this work deals with the modeling of large complex systems in the applied sciences, particularly those comprised of several interacting individuals whose dynamics follow rules determined by some organized, or even "intelligent" ability. Traditionally, methods of mathematical kinetic theory have been applied to model the evolution of large systems of interacting classical or quantum particles. This book, on the other hand, examines the modeling of living systems as opposed to inert systems.

    The author develops new mathematical methods and tools-hopefully a "new" mathematics-toward the modeling of living systems. Such tools need to be far more complex than those dealing with systems of inert matter. The first part of the book deals with deriving general evolution equations that can be customized to particular systems of interest in the applied sciences. The second part of the book deals with various models and applications.

    The presentation unfolds using the following common approach in each chapter:

    * Phenomenological interpretation of the physical system in the context of mathematical modeling

    * Derivation of the mathematical model using methods from mathematical kinetic theory for active particles

    * Simulations, parameter sensitivity analysis, and critical inspection of the derived model towards validation

    * Overview of presented ideas to improve existing models, with special emphasis on applications

    Specific topics covered include:

    * Modeling of the competition between cells of an aggressive invasive agent and cells of the immune system

    * Modeling of vehicular traffic flow

    * Modeling of swarms and crowd dynamics in complex geometric environments

    * Methodological aspects related to multiscale modeling of large systems viewed as interconnected subsystems

    Modeling Complex LivingSystems  is a valuable resource for applied mathematicians, engineers, physicists, biologists, economists, and graduate students involved in modeling complex social systems and living matter in general.

      



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