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Autor(en): 
  • G. Nicolis
  • Introduction to Nonlinear Science 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Juni 1995  
    Genre:  Naturwissensch., Medizin, Technik 
     
    COMPUTERS / Cybernetics / Cybernetics & systems theory / Cybernetics and systems theory / MATHEMATICS / Linear & Nonlinear Programming / Nonlinear science
    ISBN:  9780521467827 
    EAN-Code: 
    9780521467827 
    Verlag:  Cambridge Academic 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 246 mm / B 191 mm / D 20 mm 
    Gewicht:  490 gr 
    Illustration:  Worked examples or Exercises 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    One of the most unexpected results in science in recent years is that quite ordinary systems obeying simple laws can give rise to complex, nonlinear or chaotic, behavior. In this book, the author presents a unified treatment of the concepts and tools needed to analyze nonlinear phenomena and to outline some representative applications drawn from the physical, engineering, and biological sciences. Some of the interesting topics covered include: dynamical systems with a finite number of degrees of freedom, linear stability analysis of fixed points, nonlinear behavior of fixed points, bifurcation analysis, spatially distributed systems, broken symmetries, pattern formation, and chaotic dynamics. The author makes a special effort to provide a logical connection between ordinary dynamical systems and spatially extended systems, and to balance the emphasis on chaotic behavior and more classical nonlinear behavior. He also develops a statistical approach to complex systems and compares it to traditional deterministic phase space descriptions. This book is suitable for senior undergraduate and graduate students taking nonlinear courses from many different perspectives including physics, chemistry, biology, and engineering.

      
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