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Autor(en): 
  • Jan S. Hesthaven
  • Tim Warburton
  • Nodal Discontinuous Galerkin Methods: Algorithms, Analysis, and Applications 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2007  
    Genre:  Schulbücher 
     
    Analysis / Artificial Intelligence / B / Computational Intelligence / Differential calculus & equations / Differential equations / Differentialrechnung und -gleichungen / Künstliche Intelligenz
    ISBN:  9780387720654 
    EAN-Code: 
    9780387720654 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #54 - Texts in Applied Mathematics  
    Dimensionen:  H 235 mm / B 155 mm / D 35 mm 
    Gewicht:  1980 gr 
    Seiten:  502 
    Illustration:  XIV, 502 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 book discusses a family of computational methods, known as discontinuous Galerkin methods, for solving partial differential equations. While these methods have been known since the early 1970s, they have experienced an almost explosive growth interest during the last ten to fifteen years, leading both to substantial theoretical developments and the application of these methods to a broad range of problems.

    These methods are different in nature from standard methods such as finite element or finite difference methods, often presenting a challenge in the transition from theoretical developments to actual implementations and applications.

    This book is aimed at graduate level classes in applied and computational mathematics. The combination of an in depth discussion of the fundamental properties of the discontinuous Galerkin computational methods with the availability of extensive software allows students to gain first hand experience from the beginning without eliminating theoretical insight.

    Jan S. Hesthaven is a professor of Applied Mathematics at Brown University.

    Tim Warburton is an assistant professor of Applied and Computational Mathematics at Rice University.

      



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