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Autor(en): 
  • Alexander J. Zaslavski
  • Structure of Solutions of Variational Problems 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Februar 2013  
    Genre:  Schulbücher 
     
    Algorithm Analysis and Problem Complexity / Algorithms / Algorithms & data structures / Analysis / Analysis (Mathematics) / C / Calculus & mathematical analysis / Calculus of variations
    ISBN:  9781461463863 
    EAN-Code: 
    9781461463863 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  SpringerBriefs in Optimization  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  206 gr 
    Seiten:  115 
    Illustration:  VIII, 115 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Structure of Solutions of Variational Problems is devoted to recent progress made in the studies of the structure of approximate solutions of variational problems considered on subintervals of a real line.  Results on properties of approximate solutions which are independent of the length of the interval, for all sufficiently large intervals are presented in a clear manner. Solutions, new approaches, techniques and methods to a number of difficult problems in the calculus of variations  are illustrated throughout this book. This book also contains significant results and information about the turnpike property of the variational problems. This well-known property is a general phenomenon which holds for large classes of variational problems. The author examines the following in relation to the turnpike property  in individual  (non-generic) turnpike results, sufficient and necessary conditions for the turnpike phenomenon as well as in the non-intersection property for extremals of variational problems. This book appeals to mathematicians  working in optimal control and the calculus as  well as with graduate students.
      



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