In the aerospace sciences, computational intelligence techniques are now key tools in addressing many problems. Such techniques have progressed along with increases in computing power, allowing numerical simulation to gradually replace experimental testing in many areas of engineering, and leading to an increasing use of nature-inspired numerical optimization methods to handle complex real world multidisciplinary design problems.


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    Titel :

    Uncertainty Quantification in Computational Science


    Beteiligte:


    Erscheinungsdatum :

    2014-01-01


    Format / Umfang :

    36 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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