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Autor(en): 
  • Mark Braverman
  • Michael Yampolsky
  • Computability of Julia Sets 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2008  
    Genre:  Schulbücher 
     
    Algebra / Algorithm Analysis and Problem Complexity / Algorithms / Algorithms & data structures / B / Computer programming / Computer programming / software engineering / computer science
    ISBN:  9783540685463 
    EAN-Code: 
    9783540685463 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #23 - Algorithms and Computation in Mathematics  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  920 gr 
    Seiten:  151 
    Illustration:  XIII, 151 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Among all computer-generated mathematical images, Julia sets of rational maps occupy one of the most prominent positions. Their beauty and complexity can be fascinating. They also hold a deep mathematical content.

    Computational hardness of Julia sets is the main subject of this book. By definition, a computable set in the plane can be visualized on a computer screen with an arbitrarily high magnification. There are countless programs to draw Julia sets. Yet, as the authors have discovered, it is possible to constructively produce examples of quadratic polynomials, whose Julia sets are not computable . This result is striking - it says that while a dynamical system can be described numerically with an arbitrary precision, the picture of the dynamics cannot be visualized.

    The book summarizes the present knowledge (most of it from the authors' own work) about the computational properties of Julia sets in a self-contained way. It is accessible to experts and students with interest in theoretical computer science or dynamical systems.

      



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