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Autor(en): 
  • Andrzej Cegielski
  • Iterative Methods for Fixed Point Problems in Hilbert Spaces 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  September 2012  
    Genre:  Schulbücher 
     
    B / Calculus of variations / Calculus of Variations and Optimal Control; Optimization / Calculus of Variations and Optimization / Functional Analysis / Functional analysis & transforms / Mathematical optimization / Mathematics and Statistics
    ISBN:  9783642309007 
    EAN-Code: 
    9783642309007 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 22 mm 
    Gewicht:  478 gr 
    Seiten:  298 
    Illustration:  XVI, 298 p. 61 illus., 3 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    From the reviews:

    "Cegielski provides us with a very carefully written monograph on solving convex feasibility (and more general fixed point) problems. . Cegielski's monograph can serve as an excellent source for an upper-level undergraduate or graduate course. . researchers in this area now have a valuable source of recent results on projection methods to which the author contributed considerably in his work over the past two decades. In summary, I highly recommend this book to anyone interested in projection methods, their generalizations and recent developments." (Heinz H. Bauschke, Mathematical Reviews, July, 2013)

    "This book is mainly concerned with iterative methods to obtain fixed points. . this book is an excellent introduction to various aspects of the iterative approximation of fixed points of nonexpansive operators in Hilbert spaces, with focus on their important applications to convex optimization problems. It would be an excellent text for graduate students, and, by the way the material is structured and presented, it will also serve as a useful introductory text for young researchers in this field." (Vasile Berinde, Zentralblatt MATH, Vol. 1256, 2013)
      



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