Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Multi-Fidelity Approximation of the Active Subspace Method for Surrogate Models with High-Dimensional Inputs


    Beteiligte:
    Mufti, Bilal (Autor:in) / Chen, Mengzhen (Autor:in) / Perron, Christian (Autor:in) / Mavris, Dimitri N. (Autor:in)

    Kongress:

    AIAA AVIATION 2022 Forum



    Erscheinungsdatum :

    01.01.2022




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Non-Intrusive Parametric Reduced Order Models with High-Dimensional Inputs via Gradient-Free Active Subspace

    Rajaram, Dushhyanth / Gautier, Raphael H. / Perron, Christian et al. | AIAA | 2020


    NON-INTRUSIVE PARAMETRIC REDUCED ORDER MODELS WITH HIGH- DIMENSIONAL INPUTS VIA GRADIENT-FREE ACTIVE SUBSPACE

    Rajaram, Dushhyanth / Gautier, Raphael H. / Perron, Christian et al. | TIBKAT | 2020


    Assessment of Multi-Fidelity Surrogate Models for High-Altitude Propeller Optimization

    Mourousias, Nikolaos / Malim, Ahmed / Marinus, Benoit G. et al. | TIBKAT | 2022


    Assessment of Multi-fidelity Surrogate Models for High-Altitude Propeller Optimization

    Mourousias, Nikolaos / Malim, Ahmed / Marinus, Benoit G. et al. | AIAA | 2022