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Herausgeber: 
  • Slawomir Koziel
  • Leifur Leifsson
  • Surrogate-Based Modeling and Optimization: Applications in Engineering 
     

    (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:  August 2016  
    Genre:  Schulbücher 
     
    Aerospace & aviation technology / Aerospace engineering / Aerospace Technology and Astronautics / astronautics / Automatic control engineering / B / Calculus of variations / Calculus of Variations and Optimal Control; Optimization / Calculus of Variations and Optimization / Computational Mathematics and Numerical Analysis / Computer mathematics / Control and Systems Theory / Control engineering / Management & management techniques / Management science / Mathematical Modeling and Industrial Mathematics / Mathematical models / Mathematics and Statistics / Maths for engineers / Numerical analysis / Operational research / Operations Research / Operations Research, Management Science / Optimization
    ISBN:  9781493954728 
    EAN-Code: 
    9781493954728 
    Verlag:  Springer New York 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 23 mm 
    Gewicht:  633 gr 
    Seiten:  420 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Contemporary engineering design is heavily based on computer simulations. Accurate, high-fidelity simulations are used not only for design verification but, even more importantly, to adjust parameters of the system to have it meet given performance requirements. Unfortunately, accurate simulations are often computationally very expensive with evaluation times as long as hours or even days per design, making design automation using conventional methods impractical. These and other problems can be alleviated by the development and employment of so-called surrogates that reliably represent the expensive, simulation-based model of the system or device of interest but they are much more reasonable and analytically tractable. 

     

    This volume features surrogate-based modeling and optimization techniques, and their applications for solving difficult and computationally expensive engineering design problems. It begins by presenting the basic concepts and formulations of the surrogate-based modeling and optimization paradigm and then discusses relevant modeling techniques, optimization algorithms and design procedures, as well as state-of-the-art developments. The chapters are self-contained with basic concepts and formulations along with applications and examples. The book will be useful to researchers in engineering and mathematics, in particular those who employ computationally heavy simulations in their design work.

      
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