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Autor(en): 
  • Lisa G Stanley
  • Dawn L Stewart
  • Design Sensitivity Analysis 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  1987  
    Genre:  Schulbücher 
     
    MATHEMATICS / General / TECHNOLOGY & ENGINEERING / Engineering (General) / Technology & Industrial Arts
    ISBN:  9780898715248 
    EAN-Code: 
    9780898715248 
    Verlag:  Society for Industrial and Applied Mathematics (SI 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Frontiers in Applied Mathemati  
    Dimensionen:  H 228 mm / B 152 mm / D 13 mm 
    Gewicht:  463 gr 
    Seiten:  160 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Recent and ongoing improvements in computer technology have increased the need for efficient and reliable design tools; computational methods have opened the door to making sensitivity analysis a tractable design tool for industries that design and manufacture high-performance products. These industries are increasingly interested in exploiting the advantages of computer-aided design, numerical analysis, and optimal design methods. This book provides an understandable introduction to one approach to design sensitivity computation and illustrates some of the important mathematical and computational issues inherent in using the sensitivity equation method (SEM) for partial differential equations.

    The authors use basic models to illustrate the computational issues that one might encounter when applying the SEM in a laboratory or research setting, while providing an overview of applications and computational issues regarding sensitivity calculations performed by way of continuous sensitivity equation methods. Here they focus on the construction and analysis of algorithms for computing sensitivities. For readers already acquainted with the concept of a sensitivity equation, the authors include mathematical background for a deeper understanding of their approach. Finally, the book explores the use of SEMs for applications in the area of computational fluid dynamics, demonstrating that the early examples readers encounter in the book can be observed in the context of a more realistic physical setting. Several color figures are included.

      



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