Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Surrogate Modeling and Model Discrepancy Propagation in High-Dimensional Problems


    Beteiligte:
    Mahadevan, Sankaran (Autor:in) / Guo, Yulin (Autor:in)

    Kongress:

    AIAA SCITECH 2025 Forum



    Erscheinungsdatum :

    01.01.2025




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    HDMR-based Surrogate Model for High Dimensional Aerodynamic Design Problems

    Gao, Zheng Hong / Wang, Chao / Huang, Jiangtao | AIAA | 2015


    Surrogate Modeling with High-Dimensional Input and Output

    Guo, Yulin / Mahadevan, Sankaran / Matsumoto, Shunsaku et al. | AIAA | 2021


    HDMR-based Surrogate Model for High Dimensional Aerodynamic Design Problems (AIAA 2015-3094)

    Gao, Zheng Hong / Wang, Chao / Huang, Jiangtao et al. | British Library Conference Proceedings | 2015


    Dimension Reduction for Efficient Surrogate Modeling in High-Dimensional Applications

    Kapusuzoglu, Berkcan / Guo, Yulin / Mahadevan, Sankaran et al. | TIBKAT | 2022


    Dimension Reduction for Efficient Surrogate Modeling in High-Dimensional Applications

    Kapusuzoglu, Berkcan / Guo, Yulin / Mahadevan, Sankaran et al. | AIAA | 2022