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Autor(en): 
  • Boris N. Khoromskij
  • Gabriel Wittum
  • Numerical Solution of Elliptic Differential Equations by Reduction to the Interface 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Februar 2004  
    Genre:  Schulbücher 
     
    Analysis / Analysis (Mathematics) / Applied mathematics / C / Computational Mathematics and Numerical Analysis / Computer mathematics / Differential calculus & equations / Differential equations / Engineering mathematics / Mathematical analysis / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Mathematics and Statistics / Maths for engineers / Numerical analysis / Partial Differential Equations
    ISBN:  9783540204060 
    EAN-Code: 
    9783540204060 
    Verlag:  Springer Berlin Heidelberg 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 17 mm 
    Gewicht:  476 gr 
    Seiten:  312 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    During the last decade essential progress has been achieved in the analysis and implementation of multilevel/rnultigrid and domain decomposition methods to explore a variety of real world applications. An important trend in mod­ ern numerical simulations is the quick improvement of computer technology that leads to the well known paradigm (see, e. g. , [78,179]): high-performance computers make it indispensable to use numerical methods of almost linear complexity in the problem size N, to maintain an adequate scaling between the computing time and improved computer facilities as N increases. In the h-version of the finite element method (FEM), the multigrid iteration real­ izes an O(N) solver for elliptic differential equations in a domain n c IRd d with N = O(h- ) , where h is the mesh parameter. In the boundary ele­ ment method (BEM) , the traditional panel clustering, fast multi-pole and wavelet based methods as well as the modern hierarchical matrix techniques are known to provide the data-sparse approximations to the arising fully populated stiffness matrices with almost linear cost O(Nr log?Nr), where 1 d Nr = O(h - ) is the number of degrees of freedom associated with the boundary. The aim of this book is to introduce a wider audience to the use of a new class of efficient numerical methods of almost linear complexity for solving elliptic partial differential equations (PDEs) based on their reduction to the interface.
      



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