In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering. The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students.


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    Titel :

    Optimization Under Uncertainty with Applications to Aerospace Engineering


    Beteiligte:
    Vasile, Massimiliano (Herausgeber:in)


    Erscheinungsdatum :

    2021


    Format / Umfang :

    1 Online-Ressource (VI, 573 Seiten)


    Anmerkungen:

    Illustrationen, Diagramme
    Campusweiter Zugriff (Universität Hannover) - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots.
    Erworben aus Studienqualitätsmitteln




    Medientyp :

    Buch


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    BKL:    31.76 Numerische Mathematik / 55.50 Luftfahrzeugtechnik / 55.60 Raumfahrttechnik / 31.80 Angewandte Mathematik
    DDC:    520




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