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Herausgeber: 
  • Panos M. Pardalos
  • Robert Murphey
  • My T. Thai
  • Alexey Sorokin
  • Dynamics of Information Systems: Mathematical Foundations 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  August 2012  
    Genre:  Schulbücher 
     
    C / Dynamical systems / Dynamical Systems and Ergodic Theory / Dynamics / Ergodic theory / Management & management techniques / Management science / Mathematics and Statistics
    ISBN:  9781461439059 
    EAN-Code: 
    9781461439059 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #20 - Springer Proceedings in Mathematics & Statistics  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  746 gr 
    Seiten:  376 
    Illustration:  XII, 376 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This proceedings publication is a compilation of selected contributions from the "Third International Conference on the Dynamics of Information Systems" which took place at the University of Florida, Gainesville, February 16-18, 2011. The purpose of this conference was to bring together scientists and engineers from industry, government, and academia in order to exchange new discoveries and results in a broad range of topics relevant to the theory and practice of dynamics of information systems. Dynamics of Information Systems: Mathematical Foundations presents state-of-the art research and is intended for graduate students and researchers interested in some of the most recent discoveries in information theory and dynamical systems. Scientists in other disciplines may also benefit from the applications of new developments to their own area of study.

     

    Information systems play an increasingly critical role in our society; the influence of information on social, biological, genetic, and military systems must be better understood in order to achieve advances in the capability and understanding of these systems. Applications presented in this work are widespread and include research in evolutionary theory, optimization of information workflow, military applications, climate networks, collision work, and much more.

      



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