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Autor(en): 
  • Duc Thai Nguyen
  • Finite Element Methods: Parallel-Sparse Statics and Eigen-Solutions 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  April 2024  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Algorithm / Algorithms / Analysis / Angewandte Mathematik / duc / Element / Elements / finiteelementmethod
    ISBN:  9783031487873 
    EAN-Code: 
    9783031487873 
    Verlag:  Springer 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 241 mm / B 160 mm / D 47 mm 
    Gewicht:  1541 gr 
    Seiten:  828 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This new edition includes three new chapters, 7 through 9, that have very broad, practical applications in engineering and science. In addition, the author's latest research results (in Domain Partitioning algorithms) incorporated into the new textbook (Chapter 7) demonstrates better performance than the popular METIS software for partitioning graphs, partitioning finite element meshes, and producing less non-zero fill-in terms for sparse factorization. The new Chapter 8, and its pre-requisite, Chapter 7, present a state-of-the-art algorithm for computing the shortest paths for real-life (large-scale) transportation networks with minimum computational time. This approach has not yet appeared in any existing textbooks and it could open the doors for other transportation engineering applications. Chapter 9 vastly expands the scope of the previous edition by including sensitivity (gradient) computation and MATLAB's built-in function "fmincon" for obtaining the optimum (or best) solution for general engineering problems.
    • Greatly expands chapters 2 and 6, added appendices and adds three new chapters, 7, 8, and 9;
    • Introduces several additional/important research topics for "broad (engineering & science)" applications;
    • Explains FETI-DP methods, SVD (with examples) and useful tutorial materials for improving MATLAB programming skills.

      



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